Citácie 2025

Vedecké monografie vydané v zahraničných vydavateľstvách

• CAPEK, Ignác. Noble Metal Nanoparticles : Preparation, Composite Nanostructures, Biodecoration and Collective Properties. Springer, 2017, 554 p. ISBN 978-4-431-56554-3. https://doi.org/10.1007/978-4-431-56556-7_2

Citácie WOS: 7; citácie SCOPUS: 3

1. [1.1] ALI, F. – GULZAR, A. – VLADISAVLJEVIC, G.T. Biosynthesis of AgCd metal nanocatalyst using green waste for the synergistic catalytic reduction of organic pollutants. In MATERIALS CHEMISTRY AND PHYSICS. ISSN 0254-0584, DEC 1 2025, vol. 346, art. no. 131393. https://doi.org/10.1016/j.matchemphys.2025.131393. WOS

2. [1.1] ANDREWS, H.B. – KITZHABER, Z.B. – MANARD, B.T. – MARTIN, M.Z. – SADERGASKI, L.R. Real-time elemental analysis of liquids for process monitoring using laser-induced breakdown spectroscopy with a liquid wheel sampling approach. In JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY. ISSN 0267-9477, MAR 5 2025, vol. 40, no. 3. https://doi.org/10.1039/d4ja00393d. WOS

3. [1.1] CHEN, H.R. – WU, K. – SONG, W.J. – TAO, H.W. – LI, Z.H. – LI, X. – DU, Y.N. Two-dimensional PLSR with manifold optimization based CNN for image classification. In INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS. ISSN 1868-8071, SEP 2025, vol. 16, no. 9, p. 5689-5705. https://doi.org/10.1007/s13042-025-02593-1. WOS

4. [1.1] ESLAMINEJAD, S. – RAHIMI, R. – FAYAZI, M. Green decoration of Pd nanoparticles on MXene/metal organic framework support for photocatalytic degradation of ofloxacin. In JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY. ISSN 1226-086X, JAN 25 2025, vol. 141, p. 94-103. https://doi.org/10.1016/j.jiec.2024.06.020. WOS

5. [1.1] JOSHI, R. – SHARMA, S. – ALI, N. – MUTEEB, G. – FAREED, M. – ALAM, P. – KAPOOR, D.U. – PRAJAPATI, B.G. Harnessing the potential of nanoprisms for diagnostic and therapeutic applications. In COLLOID AND INTERFACE SCIENCE COMMUNICATIONS. ISSN 2215-0382, MAR 2025, vol. 65, art. no. 100826. https://doi.org/10.1016/j.colcom.2025.100826. WOS

6. [1.1] LI, X. – WU, K. – CHEN, H.R. – SONG, W.J. – TAO, H.W. – LI, Z.H. – DU, Y.N. Deep residual PLSR model with manifold optimization and Gaussian filter for enhanced image classification. In VISUAL COMPUTER. ISSN 0178-2789, JUN 2025, vol. 41, no. 8, p. 6087-6102. https://doi.org/10.1007/s00371-024-03773-w. WOS

7. [1.1] ZHENG, K.Y. – SHANG, X.W. – QIN, Z. – ZHANG, Y. – SHI, J.Y. – ZOU, X.B. – ZHANG, M. Recent Advances in SERS-Based Detection of Organophosphorus Pesticides in Food: A Critical and Comprehensive Review. In FOODS. OCT 29 2025, vol. 14, no. 21, art. no. 3683. https://doi.org/10.3390/foods14213683. WOS

8. [1.2] BRACAMONTE, A.G. Development of Advanced Nano-Optics: For Miniaturized Optical Set-Ups and Instrumentation. ISBN 978-104034033-2, 2025. https://doi.org/10.1201/9781032702063. SCOPUS

9. [1.2] CHALLOOB, A.A. – JUBIER, N.J. Green Synthesis of Ag-Cu NPs using Black Eggplant Extract as the Reducing and Stabilizing Agents: Characterization and Energy Band Gap. In JOURNAL OF PHYSICS: CONFERENCE SERIES. ISSN 1742-6588, 2025, vol. 2974, art. no. 012032. https://doi.org/10.1088/1742-6596/2974/1/012032. SCOPUS

10. [1.2] JAROENSIN, P. – NUNSAP, J. – KHUANCHOM, V. – HARARAK, B. – LUEANGJAROENKIT, P. – SOOKNOI, T. – LEE, T.R. – SRINOI, P. Biomass-Based Synthesis of Tunable Photoactive Bimetallic Nanoparticles for Antibacterial and Catalytic Applications. In ACS APPLIED NANO MATERIALS. ISSN 2574-0970, vol. 8, no. 36, p. 17527-17539. https://doi.org/10.1021/acsanm.5c03025. SCOPUS

 

• CAPEK, Ignác. Nanocomposite Structures and Dispersions : Second Edition. Elsevier, 2019, 458 p. ISBN 978-0-444-63748-2. https://doi.org/10.1016/C2015-0-00616-5

Citácie WOS: 4; citácie SCOPUS: 1; iné citácie: 1

1. [1.1] BIABANI, R. – NIROUMAND, H. – AFSHARPOUR, M. – KHAKSAR, M. Application of nano-pico geotechnics and nano-pico heritage spray techniques for restoring and protecting historical brick buildings. In SCIENTIFIC REPORTS. ISSN 2045-2322, AUG 18 2025, vol. 15, no. 1, art. no. 30227. https://doi.org/10.1038/s41598-025-16132-z. WOS

2. [1.1] DIEPENBROEK, E. – KOOIJ, E.S. – DE BEER, S. Anomalous enhanced swelling of charged copolymer gels. In POLYMER. ISSN 0032-3861, JAN 15 2025, vol. 317, art. no. 127934. https://doi.org/10.1016/j.polymer.2024.127934. WOS

3. [1.1] LIANG, K. – ZHAO, B. – WANG, J. – WANG, X. – ZHU, X.L. – ROHANI, S. – LI, Z.B. – YE, B. Nanocomposite hydrogel incorporating Arnica montana extract, propolis-loaded chitosan nanoparticles, and menstrual blood-derived mesenchymal stem cells for allergic rhinitis therapy. In JOURNAL OF MATERIALS SCIENCE-MATERIALS IN MEDICINE. ISSN 0957-4530, OCT 13 2025, vol. 36, no. 1, art. no. 79. https://doi.org/10.1007/s10856-025-06939-7. WOS

4. [1.1] MNYANGO, J.I. – NYONI, B. – MAMA, N. – FOUDA-MBANGA, B.G. – TYWABI-NGEVA, Z. – HLANGOTHI, S.P. Polybutene, polyisobutylene, and beyond: a comprehensive review of synthesis to sustainability. In MATERIALS ADVANCES. AUG 11 2025, vol. 6, no. 16, p. 5339-5390. https://doi.org/10.1039/d5ma00392j. WOS

5. [1.2] MUTLU, G.K. – ZOR, S. – TEKIN, N. – KARA, A. The Polymer Composite Particles for Adsorption and Photocatalytic Degradation of Reactive Black 5: Equilibrium, Kinetics, Thermodynamic, and Isotherms Studies. In CHEMISTRYSELECT. ISSN 2365-6549, 2025, vol. 10, no. 22, art. no. e05430. https://doi.org/10.1002/slct.202405430. SCOPUS

6. [3.1] MUKHERJEE, S. – MADAMSETTY, V.S. – PRADHAN, L. – UPADHYAY, A. – YENURKAR, D. Introduction to magnetic nanomaterials. In MAGNETIC NANOMATERIALS: INNOVATION FOR CANCER THERANOSTICS. ISBN: 978-0-7503-6333-4, 2025. https://doi.org/10.1088/978-0-7503-6335-8ch1.

 

Vedecké monografie vydané v domácich vydavateľstvách

• WIMMER, G. – PALENČÁR, R. – WITKOVSKÝ, Viktor – ĎURIŠ, S. Vyhodnotenie kalibrácie meradiel : Štatistické metódy pre analýzu neistôt v metrológii [Evaluation of calibration the measuring instruments. Statistical methods for the analysis of uncertainties in metrology]. Recenzenti: L. Kubáček, M. Terek, M. Dovica. Bratislava : Nakladateľstvo STU, 2015. xviii, 173 s. ISBN 978-80-227-4374-7.

Iné citácie: 1

1. [4.1] KRÁL , Š. – RYBÁŘ, J. Akreditácia kalibračných, skúšobných a medicínskych laboratórií. ISBN 978-80-227-5529-0, 2025.

 

Štúdie charakteru vedeckej monografie v časopisoch a zborníkoch vydané v zahraničných vydavateľstvách

• CAPEK, Ignác. Nanosuspensions. In Encyclopedia of Colloid and Interface Science. – Springer, 2013, p. 748-782. ISBN 978-3-642-20664-1. https://doi.org/10.1007/978-3-642-20665-8_28

Citácie WOS: 1

1. [1.1] AL-SULAITI, F. – DOGAN, A. – KIR, F. – SAHIN, S. An Isocratic RP-HPLC Method for Simultaneous Quantification of Nateglinide and Furosemide: Application to In Vitro Caco-2 Intestinal Permeability Studies of Nanodrugs. In BIOMEDICAL CHROMATOGRAPHY. ISSN 0269-3879, NOV 2025, vol. 39, no. 11, art. no. e70229. https://doi.org/10.1002/bmc.70229. WOS

 

Kapitoly vo vedeckých monografiách vydané v zahraničných vydavateľstvách

• ACCARDO, A. – STROLKA, Igor – TOFFANIN, R. – VITTUR, F. Medical imaging analysis of the three dimensional (3D) architecture of trabecular bone: techniques and their applications. In Medical Imaging Systems Technology : Methods in General Anatomy. – World Scientific Publishing Company, 2005, p. 1-42. https://doi.org/10.1142/9789812701060_0001

Citácie WOS: 1

1. [1.1] ZHENG, B. – YU, P.F. – ZHU, Z.Q. – LIANG, Y. – LIU, H.Y. Machine learning integration of multi-modal radiomics and clinical factors predicts refracture risk after percutaneous kyphoplasty in postmenopausal women. In SCIENTIFIC REPORTS. ISSN 2045-2322, OCT 30 2025, vol. 15, no. 1, art. no. 38016. https://doi.org/10.1038/s41598-025-21894-7. WOS

 

• HAGER, B. – JURAS, V. – ZARIC, O. – SZOMOLÁNYI, Pavol – TRATTNIG, S. – DELIGIANNI, X. The Variable Echo Time (vTE) Sequence. In MRI of Short and Ultrashort-T₂ Tissues : Making the Invisible Visible. – Cham : Springer, 2023, p. 107-118. ISBN 978-3-031-35196-9. https://doi.org/10.1007/978-3-031-35197-6_9

Citácie WOS: 1

1. [1.1] SHIN, S.H. – CHAE, H.D. – SUPRANA, A. – JERBAN, S. – CHANG, E.Y. – SHI, L.Y. – SAH, R.L. – PETTUS, J.H. – WOODS, G.N. – DU, J. UTE MRI technical developments and applications in osteoporosis: a review. In FRONTIERS IN ENDOCRINOLOGY. ISSN 1664-2392, FEB 6 2025, vol. 16, art. no. 1510010. https://doi.org/10.3389/fendo.2025.1510010. WOS

 

• KÖNING, R. – WIMMER, G. – WITKOVSKÝ, Viktor. EllipseFit4HC: A Matlab algorithm for demodulation and uncertainty evaluation of the quadrature interferometer signals. In Advances in Mathematical and Computational Tools in Metrology and Testing X. – World Scientific, 2015, p. 211-218. ISBN 978-981-4678-61-2.

Citácie WOS: 1

1. [1.1] WANG, Y.F. – ZHAO, F.Y. – LUO, L.B. – LI, X.H. A Review on Recent Advances in Signal Processing in Interferometry. In SENSORS. AUG 13 2025, vol. 25, no. 16, art. no. 5013. https://doi.org/10.3390/s25165013. WOS

 

• PETRÁK, J. – MRAVEC, B. – JURÁNI, M. – BARANOVSKÁ, M. – TILLINGER, A. – HAPALA, I. – FROLLO, Ivan – KVETŇANSKÝ, R. Hypergravity-induced increase in plasma catecholamine and corticosterone levels in telemetrically collected blood of rats during centrifugation. In Stress, Neurotransmitters, and Hormones : Neuroendocrine and Genetic Mechanisms. – Wiley-Blackwell, 2008, vol. 1148, p. 201-208. ISBN 978-1-57331-692-7. https://doi.org/10.1196/annals.1410.060

Citácie WOS: 1

1. [1.1] NORDINE, M. – KAGELMANN, N. – KLOKA, J. – GUNGA, H.C. – HEINZ, V. – PILZ, N. – OPATZ, O. – BOTHE, T.L. Impact of peripheral skin cooling on neuroendocrine leukocytic and hematological reactions during Hypergravity. In NPJ MICROGRAVITY. JUL 2 2025, vol. 11, no. 1, art. no. 30. https://doi.org/10.1038/s41526-025-00486-9. WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. Statistical analysis of complementary spectral features of emotional speech in Czech and Slovak. In Text, speech and dialogue. – Berlin : Springer, 2011, lNCS 6836, P. 299-306. ISBN 978-3-642-23537-5. ISSN 0302-9743. https://doi.org/10.1007/978-3-642-23538-2_38

Iné citácie: 1

1. [3.1] LUO, Y. – LING, Z. – MENG, L. How Acoustic Cues Influence User Participation in Travel Videos? In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ELECTRONIC BUSINESS (ICEB’25). ISSN 1683-0040, 2025, vol. 25. p. 206-214. https://aisel.aisnet.org/iceb2025/37/.

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. Spectral flatness analysis for emotional speech synthesis and transformation. In Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions. – Berlin : Springer-Verlag, 2009, lNCS 5641, P. 106-115. ISBN 978-3-642-03319-3. https://doi.org/10.1007/978-3-642-03320-9_11

Citácie WOS: 1

1. [1.1] YURTSEVER, U. – YÜCEL, I.E. Comparative Analysis of Machine Learning Approaches for Drum Set Component Classification in Music Technology. In APPLIED ARTIFICIAL INTELLIGENCE. ISSN 0883-9514, DEC 31 2025, vol. 39, no. 1, art. no. 2581352. https://doi.org/10.1080/08839514.2025.2581352. WOS

 

• ROSIPAL, Roman. Nonlinear partial least squares: An overview. In Chemoinformatics and Advanced Machine Learning Perspectives : Complex Computational Methods and Collaborative Techniques. – IGI Global, 2010, p. 169-189. ISBN 978-1-61520-911-8. https://doi.org/10.4018/978-1-61520-911-8.ch009

Citácie WOS: 4

1. [1.1] ANDREWS, H.B. – KITZHABER, Z.B. – MANARD, B.T. – MARTIN, M.Z. – SADERGASKI, L.R. Real-time elemental analysis of liquids for process monitoring using laser-induced breakdown spectroscopy with a liquid wheel sampling approach. In JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY. ISSN 0267-9477, MAR 5 2025, vol. 40, no. 3. https://doi.org/10.1039/d4ja00393d. WOS

2. [1.1] CHEN, H.R. – WU, K. – SONG, W.J. – TAO, H.W. – LI, Z.H. – LI, X. – DU, Y.N. Two-dimensional PLSR with manifold optimization based CNN for image classification. In INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS. ISSN 1868-8071, SEP 2025, vol. 16, no. 9, p. 5689-5705. https://doi.org/10.1007/s13042-025-02593-1. WOS

3. [1.1] CHEN, H.R. – WU, K. – WU, H.G. – WANG, J.F. – TAO, H.W. – LI, Z.H. – WANG, X. Research and application of two-dimensional partial least squares regression with manifold optimization-based Gaussian filter. In JOURNAL OF ELECTRONIC IMAGING. ISSN 1017-9909, JAN 1 2025, vol. 34, no. 1, art. no. 013014. https://doi.org/10.1117/1.JEI.34.1.013014. WOS

4. [1.1] LI, X. – WU, K. – CHEN, H.R. – SONG, W.J. – TAO, H.W. – LI, Z.H. – DU, Y.N. Deep residual PLSR model with manifold optimization and Gaussian filter for enhanced image classification. In VISUAL COMPUTER. ISSN 0178-2789, JUN 2025, vol. 41, no. 8, p. 6087-6102. https://doi.org/10.1007/s00371-024-03773-w. WOS

 

Kapitoly vo vedeckých monografiách vydané v domácich vydavateľstvách

• FARKAŠ, Igor. Samoorganizujúce sa mapy. In Úvod do teórie neurónových sietí. – Bratislava : IRIS, 1997, s. 142-186.

Citácie WOS: 1

1. [1.1] KACUR, J. – FLEGNER, P. – DURDÁN, M. – LACIAK, M. A Simulation-Based Comparative Analysis of Physics and Data-Driven Models for Temperature Prediction in Steel Coil Annealing. In METALS. AUG 22 2025, vol. 15, no. 9, art. no. 932. https://doi.org/10.3390/met15090932. WOS

 

Vysokoškolské učebnice vydané v domácich vydavateľstvách

• PALENČÁR, R. – WIMMER, G. – PALENČÁR, J. – WITKOVSKÝ, Viktor. Navrhovanie a vyhodnocovanie meraní [Design and Evaluation of Measurements]. Recenzenti: M. Dovica, D. Janáčová, J. Markovič. 1. vydanie. Bratislava : Slovenská technická univerzita v Bratislave, 2021. 160 s. ISBN 978-80-227-5080-6.

Citácie WOS: 1

1. [1.1] RYBÁR, J. – HRUSKA, M. – UJHELYI, F. – CHYTIL, M. Measurement and Preparation of Reference Tubes for the Primary Standard Piston Flowmeter. In 2025 15TH INTERNATIONAL CONFERENCE ON MEASUREMENT. 2025, p. 163-166.. WOS

 

Vedecké práce v zahraničných karentovaných časopisoch impaktovaných

• ANDRIS, Peter – JACKO, Vlado – DERMEK, Tomáš – FROLLO, Ivan. Noise measurement of a preamplifier with high input impedance using an NMR console. In Measurement, 2014, vol. 55, p. 408-412. (2013: 1.526 – IF, Q1 – JCR, 0.572 – SJR, Q2 – SJR). ISSN 0263-2241. https://doi.org/10.1016/j.measurement.2014.05.032

Citácie WOS: 1

1. [1.1] GUINNESS, A. – BEATON, A.A. – FRANCK, J.M. Separate and detailed characterization of signal and noise at low resonance frequencies. In JOURNAL OF MAGNETIC RESONANCE. ISSN 1090-7807, DEC 2025, vol. 381, art. no. 107956. https://doi.org/10.1016/j.jmr.2025.107956. WOS

 

• ANDRIS, Peter – FROLLO, Ivan. Noise and interference in measured NMR images. In Measurement, 2016, vol. 77, p. 29-33. (2015: 1.742 – IF, Q2 – JCR, 0.662 – SJR, Q1 – SJR). ISSN 0263-2241. https://doi.org/10.1016/j.measurement.2015.09.003

Citácie WOS: 2

1. [1.1] CAO, R.G. – LI, J.X. – DING, H. – ZHAO, T.T. – GUO, Z.C. – LI, Y.Y. – SUN, X.C. – WANG, F. – QIU, J. Synergistic approaches of AI and NMR in enhancing food component analysis: A comprehensive review. In TRENDS IN FOOD SCIENCE & TECHNOLOGY. ISSN 0924-2244, FEB 2025, vol. 156, art. no. 104852. https://doi.org/10.1016/j.tifs.2024.104852. WOS

2. [1.1] GUINNESS, A. – BEATON, A.A. – FRANCK, J.M. Separate and detailed characterization of signal and noise at low resonance frequencies. In JOURNAL OF MAGNETIC RESONANCE. ISSN 1090-7807, DEC 2025, vol. 381, art. no. 107956. https://doi.org/10.1016/j.jmr.2025.107956. WOS

 

• ANDRIS, Peter – DERMEK, Tomáš – FROLLO, Ivan. Simplified matching and tuning experimental receive coils for low-field NMR measurements. In Measurement, 2015, vol. 64, p. 29-33. (2014: 1.484 – IF, Q2 – JCR, 0.676 – SJR, Q1 – SJR). ISSN 0263-2241. https://doi.org/10.1016/j.measurement.2014.12.035

Citácie WOS: 1

1. [1.1] ZAVRIYEV, A.I. – YOON, B.J. – CHOI, J. – ADEBESIN, B.Y. – JACOBS, P.S. – MIZSEI, G. – SHEEHAN, M.M. – KADLECEK, S. – GADE, T.P.F. Magnetic resonance coil prototyping and implementation for multi-nuclear small animal imaging. In JOURNAL OF MAGNETIC RESONANCE OPEN. SEP 2025, vol. 24, art. no. 100206. https://doi.org/10.1016/j.jmro.2025.100206. WOS

 

• APPRICH, S. – WELSCH, G.H. – MAMISCH, T.C. – SZOMOLÁNYI, Pavol – MAYERHOEFER, M.E. – PINKER, K. – TRATTNIG, S. Detection of degenerative cartilage disease: Comparison of high-resolution morphological MR and quantitative T2 mapping at 3.0 Tesla. In Osteoarthritis and Cartilage, 2010, vol. 18, no. 9, p. 1211-1217. (2009: 3.888 – IF, Q2 – JCR, 1.797 – SJR, Q1 – SJR). ISSN 1063-4584. https://doi.org/10.1016/j.joca.2010.06.002

Citácie WOS: 3

1. [1.1] LEE, B.W. – LEE, J.J. – JUNG, J.Y. – JU, J.H. Intra-Articular Injection of Human Bone Marrow-Derived Mesenchymal Stem Cells in Knee Osteoarthritis: A Randomized, Double-Blind, Controlled Trial. In CELL TRANSPLANTATION. ISSN 0963-6897, 2025, vol. 34, art. no. 9636897241303275. https://doi.org/10.1177/09636897241303275. WOS

2. [1.1] PUCCIARELLI, F. – MARINO, A. – FAUGNO, M.C. – ARGENTO, G. – MONACO, E. – REDLER, A. – MAFFULLI, N. – ORLANDI, P. – ZERUNIAN, M. – DE SANTIS, D. – POLICI, M. – CARUSO, D. – FRANCONE, M. – LAGHI, A. Knee Cartilage Quantification: Performance of Low-Field MR in Detecting Low Grades of Chondropathy. In JOURNAL OF IMAGING. NOV 8 2025, vol. 11, no. 11, art. no. 401. https://doi.org/10.3390/jimaging11110401. WOS

3. [1.1] SUN, H. – GUO, R.Q. – FENG, Q.Y. – ZHANG, X. – LI, K. – ZHENG, N.N. – HE, L.C. – LIU, S.Q. Visualizing dynamic alterations of vitreous viscosity during elevated intraocular pressure in glaucoma with a Near-infrared/Magnetic resonance imaging dual-modal nanoprobe. In JOURNAL OF COLLOID AND INTERFACE SCIENCE. ISSN 0021-9797, FEB 2025, vol. 679, B, p. 529-538. https://doi.org/10.1016/j.jcis.2024.10.110. WOS

 

• APPRICH, S. – SCHREINER, M. – SZOMOLÁNYI, Pavol – WELSCH, G.H. – KOLLER, U.K. – WEBER, M. – WINDHAGER, R. – TRATTNIG, S. Potential predictive value of axial T2 mapping at 3 Tesla MRI in patients with untreated patellar cartilage defects over a mean follow-up of four years. In Osteoarthritis and Cartilage, 2020, vol. 28, no. 2, p. 215-222. (2019: 4.793 – IF, Q1 – JCR, 1.828 – SJR, Q1 – SJR). ISSN 1063-4584. https://doi.org/10.1016/j.joca.2019.10.009

Citácie WOS: 1

1. [1.1] DEBNATH, M. – PATEL, V. T2 Mapping as a Diagnostic Imaging Biomarker for Early Osteoarthritis Degeneration in Patellar Articular Cartilage: A Quantitative Comparison of Healthy Adults and Osteoarthritis Patients with 3Tesla MRI. In JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. ISSN 2249-782X, MAR 2025, vol. 19, no. 3, p. TC13-TC18. https://doi.org/10.7860/JCDR/2025/75247.20695. WOS

 

• APPS, A. – VALKOVIČ, Ladislav – PETERZAN, M. – LAU, J.Y.C. – HUNDERTMARK, M. – CLARKE, W. – TUNNICLIFFE, E.M. – ELLIS, J. – TYLER, D.J. – NEUBAUER, S. – RIDER, O. – RODGERS, C.T. – SCHMID, A.I. Quantifying the effect of dobutamine stress on myocardial Pi and pH in healthy volunteers: A 31P MRS study at 7T. In Magnetic Resonance in Medicine, 2021, vol. 85, no. 3, p. 1147-1159. (2020: 4.668 – IF, Q1 – JCR, 1.696 – SJR, Q1 – SJR). ISSN 0740-3194. https://doi.org/10.1002/mrm.28494

Citácie WOS: 1

1. [1.1] HOOIJMANS, M.T. – JENESON, J.A.L. – JORSTAD, H.T. – BAKERMANS, A.J. Exercise MR of Skeletal Muscles, the Heart, and the Brain. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, FEB 2025, vol. 61, no. 2, p. 535-560. https://doi.org/10.1002/jmri.29445. WOS

 

• BACHAROVA, L. – SZATHMÁRY, V. – ŠVEHLÍKOVÁ, Jana – MATEASIK, A. – TYŠLER, Milan. QRS complex waveform indicators of ventricular activation slowing: Simulation studies. In Journal of Electrocardiology, 2016, vol. 49, no. 6, p. 790-793. (2015: 1.290 – IF, Q4 – JCR, 0.559 – SJR, Q2 – SJR). ISSN 0022-0736. https://doi.org/10.1016/j.jelectrocard.2016.07.032

Citácie SCOPUS: 1

1. [1.2] LOCATI, Emanuela Teresa. QT interval dynamics in left ventricular hypertrophy. In Electrocardiographic Left Ventricular Hypertrophy Looking Beyond Left Ventricular Mass, 2025-01-01, pp. 39-51. ISBN [9780443339288, 9780443339271]. https://doi.org/10.1016/B978-0-443-33927-1.00003-1. SCOPUS

 

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• ZBÝŇ, Š. – MLYNÁRIK, V. – JURÁŠ, Vladimír – SZOMOLÁNYI, Pavol – TRATTNIG, S. Evaluation of cartilage repair and osteoarthritis with sodium MRI. In NMR in Biomedicine, 2016, vol. 29, no. 2, p. 206-215. (2015: 2.983 – IF, Q1 – JCR, 1.624 – SJR, Q1 – SJR). ISSN 0952-3480. https://doi.org/10.1002/nbm.3280

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• JAKUBÍK, Jozef – PHUONG, M. – CHVOSTEKOVÁ, Martina – KRAKOVSKÁ, Anna. Against the flow of time with multi-output models. In Measurement Science Review, 2023, vol. 23, no. 4, p. 175-183. (2022: 0.9 – IF, Q4 – JCR, 0.306 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2023-0023

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• PALENČÁR, J. – PALENČÁR, R. – CHYTIL, M. – WIMMER, Gejza, ml. – WIMMER, G. – WITKOVSKÝ, Viktor. ISO linear calibration and measurement uncertainty of the result obtained with the calibrated instrument. In Measurement Science Review, 2022, vol. 22, no. 6, p. 293-307. (2021: 1.697 – IF, Q3 – JCR, 0.376 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2022-0037

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• ROŠŤÁKOVÁ, Zuzana – ROSIPAL, Roman – SEIFPOUR, Saman – TREJO, L.J. A comparison of non-negative tucker decomposition and parallel factor analysis for identification and measurement of human EEG rhythms. In Measurement Science Review, 2020, vol. 20, no. 3, p. 126-138. (2019: 0.900 – IF, Q4 – JCR, 0.326 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2020-0015

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• ŠVEHLÍKOVÁ, Jana – PŘIBILOVÁ, Anna – ZELINKA, Ján – ONDRUŠOVÁ, Beáta – KROMKOVÁ, K. – HLIVAK, P. – HATALA, R. – TYŠLER, Milan. The importance of ECG offset correction for premature ventricular contraction origin localization from clinical data. In Measurement Science Review, 2022, vol. 22, no. 6, p. 246-252. (2021: 1.697 – IF, Q3 – JCR, 0.376 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2022-0031

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• VRŠANSKÝ, P. – ARISTOV, D. – HAIN, Miroslav – KÚDELOVÁ, T. – KÚDELA, M. – METSCHER, B. – PALKOVÁ, H. – KÁČEROVÁ, J. – HINKELMAN, J. Longest-surviving Carboniferous-family insect found in Mesozoic amber. In Biologia, 2023, vol. 78, no. 6, p. 1611-1626. (2022: 1.5 – IF, Q4 – JCR, 0.34 – SJR, Q3 – SJR). ISSN 0006-3088. https://doi.org/10.1007/s11756-022-01192-7

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• VRŠANSKÝ, P. – SENDI, H. – HINKELMAN, J. – HAIN, Miroslav. Alienopterix Mlynský et al., 2018 complex in North Myanmar amber supports Umenocoleoidea/ae status. In Biologia, 2021, vol. 76, no. 8, p. 2207-2224. (2020: 1.350 – IF, Q4 – JCR, 0.282 – SJR, Q3 – SJR). ISSN 0006-3088. https://doi.org/10.1007/s11756-021-00689-x

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• WITKOVSKÝ, Viktor – FROLLO, Ivan. Measurement science is the science of sciences – there is no science without measurement. In Measurement Science Review, 2020, vol. 20, no. 1, p. 1-5. (2019: 0.900 – IF, Q4 – JCR, 0.326 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2020-0001

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Vedecké práce v ostatných zahraničných časopisoch neimpaktovaných

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• KRAKOVSKÁ, Anna – MEZEIOVÁ, Kristína – BUDÁČOVÁ, Hana. Use of false nearest neighbours for selecting variables and embedding parameters for state space reconstruction. In Journal of Complex Systems, 2015, article ID 932750, p. 1-12. ISSN 2356-7244.

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• TREJO, L.J. – KUBITZ, K. – ROSIPAL, Roman – KOCHAVI, R.L. – MONTGOMERY, L.D. EEG-based estimation and classification of mental fatigue. In Psychology, 2015, vol. 6, no. 5, p. 572-589. ISSN 2152-7180. https://doi.org/10.4236/psych.2015.65055

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135. [1.2] NEAMAH, H.A. – KAZI, R. – ABDULMALEK, S. – JASSIM, H.S. – ABDULJABBAR, Z.A. Mental Command-Driven Exoskeletons: Integrating EEG and ERP for Personalized Stroke Rehabilitation. In STUDIES IN SYSTEMS, DECISION AND CONTROL. ISSN 2198-4182, 2025, vol. 590, p. 979-989. https://doi.org/10.1007/978-3-031-88874-8_87. SCOPUS

136. [1.2] NI, J. – GILES, J. – ARVANEH, M. Feasibility and Acceptability of P300-Based Brain-Computer Interface Neurofeedback Training for Cognitive Enhancement. In 2025 IEEE INTERNATIONAL CONFERENCE ON METROLOGY FOR EXTENDED REALITY, ARTIFICIAL INTELLIGENCE AND NEURAL ENGINEERING, MetroXRAINE 2025, p. 628-633. https://doi.org/10.1109/MetroXRAINE66377.2025.11340505. SCOPUS

137. [1.2] PAWAR, S. – FAGERSTRØM, A. – SIGURDSSON, V. The Marketing Firm and the Consumerate: Predicting Motivating Functions Using Neurophysiology. In THE MARKETING FIRM, VOLUME II: MARKET BEHAVIOUR ANALYSIS. 2025, p. 191-209. https://doi.org/10.1007/978-3-031-91591-8_8. SCOPUS

138. [1.2] PI, Z. – GUO, X. – LIU, C. – YANG, J. Students with low prior knowledge learn more when explaining to a peer than to a teacher after viewing educational videos. In ACTIVE LEARNING IN HIGHER EDUCATION. ISSN 1469-7874, 2025, vol. 26, p. 91-107. https://doi.org/10.1177/14697874231212260. SCOPUS

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141. [1.2] RADMAN, M. – ARGHAND, R. – NARIMAN-ZADEH, N. – CHAIBAKHSH, A. Enhancing EEG-based BCI Performances by Reducing Covariate Shift via Adaptive Multi-Domain Feature Extraction. In 2025 15TH INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING, ICCKE 2025. https://doi.org/10.1109/ICCKE68588.2025.11273863. SCOPUS

142. [1.2] REDDY, N.K. – REDDY PADHIRA, K. – MANI, D.S. – GIRISH KUMAR, N.S. – JABBAR, M.A. Interpretable Deep Learning Framework for Electroencephalography-Based Language Decoding. In 3RD INTERNATIONAL CONFERENCE ON EMERGING COMPUTATION AND INFORMATION TECHNOLOGIES, ICECIT 2025. https://doi.org/10.1109/ICECIT67774.2025.11451149. SCOPUS

143. [1.2] REN, S. – SONG, J. A graph-based method for automatic graded diagnosis of depression using EEG signals. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, 2025, vol. 100, art. no. 106973. https://doi.org/10.1016/j.bspc.2024.106973. SCOPUS

144. [1.2] SATEESH, S.K. – SPARSH, B.K. – UMA, D. Decoding Human Emotions: Analyzing Multi-channel EEG Data Using LSTM Networks. In LECTURE NOTES IN NETWORKS AND SYSTEMS. ISSN 2367-3370, 2025, vol. 1264 LNNS, p. 503-515. https://doi.org/10.1007/978-981-96-2179-8_38. SCOPUS

145. [1.2] SAYILGAN, E. Classifying EEG data from spinal cord injured patients using manifold learning methods for brain-computer interface-based rehabilitation. In NEURAL COMPUTING AND APPLICATIONS. ISSN 0941-0643, 2025, vol. 37, p. 13573-13596. https://doi.org/10.1007/s00521-025-11201-w. SCOPUS

146. [1.2] SHAW, R. – KALIA, S. – MOHANTY, S. Enhancing Digital Learning Pedagogy for Lecture Video Recommendation Using Brain Wave Signal. In SUSTAINABLE RESOURCE MANAGEMENT IN NEXT-GENERATION COMPUTATIONAL CONSTRAINED NETWORKS. 2025, p. 1-29. https://doi.org/10.1002/9781394212798.ch1. SCOPUS

147. [1.2] SHULEPIN, D.A. – SHULEPINA, S.A. – LUKMANOV, R.A. – ZYKOV, S.V. SCLCM: Simple Contrastive Learning based Convolutional Model for EEG Emotion Recognition. In PROCEDIA COMPUTER SCIENCE. ISSN 1877-0509, 2025, vol. 270, p. 2473-2482. https://doi.org/10.1016/j.procs.2025.09.369. SCOPUS

148. [1.2] SINGH, A.D. – PATHAK, A. – GUPTA, N. – VEDVRAT. Neuro-Feedback VR : Real-Time Emotion Manipulation and Adaptive Environments for Enhanced Performance and Therapy. In 1ST INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER SCIENCE, ELECTRICAL, ELECTRONICS, AND COMMUNICATION TECHNOLOGIES, CE2CT 2025, p. 1296-1300. https://doi.org/10.1109/CE2CT64011.2025.10939880. SCOPUS

149. [1.2] SUKSOMKIT, K. – PUANGTO, K. – SRISOMBOON, K. – LEE, W. – SA-ING, V. Estimating Emotions from EEG Signals Using Gated Recurrent Unit Architecture. In 2025 39TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGIES, InfoTech 2025. https://doi.org/10.1109/InfoTech67177.2025.11175993. SCOPUS

150. [1.2] TANG, M. – DENG, W. – OWAIS, M. – CHADDAD, A. Simulation-Based Analysis of EEG Denoising Techniques. In 2025 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, BIBM 2025, p. 4099-4102. https://doi.org/10.1109/BIBM66473.2025.11356057. SCOPUS

151. [1.2] THOTA, L.N. – GORU, H.K. – KAKI, C. – THOTA, K.S. A Deep Hybrid ResCNN and SE-Attention Enhanced BiGRU Framework for Robust Epileptic Seizure Detection from EEG Signals. In 2025 6TH INTERNATIONAL CONFERENCE ON DATA INTELLIGENCE AND COGNITIVE INFORMATICS, ICDICI 2025, p. 57-62. https://doi.org/10.1109/ICDICI66477.2025.11135108. SCOPUS

152. [1.2] USGAONKAR, S. – REDDY EDLA, D. – REDDY, R.R. A meditation-based brain state classification framework: an integrated Morlet wavelet transforms and CNN approach with EEG signals. In MULTIMEDIA TOOLS AND APPLICATIONS. ISSN 1380-7501, 2025, vol. 84, p. 47911-47941. https://doi.org/10.1007/s11042-025-21065-w. SCOPUS

153. [1.2] WICKRAMASINGHE, N.L. – UDAYANTHA, D.S. – ABEYRATNE, A. – WEERASINGHE, K. – WICKREMASINGHE, K. – WANIGASINGHE, J. – SILVA, A.D. – EDUSSOORIYA, C.U.S. An Active Dry-Contact Continuous EEG Monitoring System for Seizure Detection Applications in Clinical Neurophysiology. In IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. ISSN 0018-9294, 2025. https://doi.org/10.1109/TBME.2025.3629563. SCOPUS

154. [1.2] WIRAWAN, I.M.A. – ARYANTO, K.Y.E. – SUKAJAYA, I.N. – AGUSTINI, N.N.M. – PUTRI, D.A. Hybrid method for optimizing emotion recognition models on electroencephalogram signals. In IAES INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE. ISSN 2089-4872, 2025, vol. 14, p. 2302-2314. https://doi.org/10.11591/ijai.v14.i3.pp2302-2314. SCOPUS

155. [1.2] XIAO, B. A Comparison of LSTM and CNN Performance in EEG Motor Imagery with Application to Edge Computing Non-invasive Brain-computer Interface Possibilities. In 2024 3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INTELLIGENT INFORMATION PROCESSING, AIIIP 2024. 2025, p. 273-278. https://doi.org/10.10.1145/3707292.3707376. SCOPUS

156. [1.2] XIONG, F. – FAN, M. – YANG, C. – LI, Y. – ZHENG, J. – ZHOU, J. – WANG, C. Preparation and properties of multi-modal physiological sensing fabric masks based on embroidery technology. In ADVANCED TEXTILE TECHNOLOGY. ISSN 1009-265X, 2025, vol. 33, p. 126-135. https://doi.org/10.19398/j.att.202404021. SCOPUS

157. [1.2] YANG, P. – WANG, D. – ZHANG, B. – CHEN, J. – XU, M. – CHEN, Y. Research Progress on Attention Mechanisms in Brain-Computer Interface Decoding. In COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE. ISSN 1865-0929, 2025, 2285 CCIS, p. 329-343. https://doi.org/10.1007/978-981-96-6957-8_23. SCOPUS

158. [1.2] YU, T. – LI, J. – JIN, Y. – WU, W. – MA, X. – XU, W. – LU, S. Machine learning prediction on spatial and environmental perception and work efficiency using electroencephalography including cross-subject scenarios. In JOURNAL OF BUILDING ENGINEERING. ISSN 2352-7102, 2025, vol. 99, art. no. 111644. https://doi.org/10.1016/j.jobe.2024.111644. SCOPUS

159. [1.2] ZHANG, Y. – ZHANG, P. – YIN, Z. Epileptic Seizure Prediction and Detection Based on Limited-Channel EEG Signals. In 2025 17TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING SYSTEMS, ICSPS 2025, p. 726-730. https://doi.org/10.1109/ICSPS66615.2025.11347624. SCOPUS

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161. [1.2] ZHAO, Y. – HUANG, D. – SHEN, H. ST-EST: A Frequency-Enhanced Spatiotemporal Transformer for EEG Super-Resolution. In 2025 CHINA AUTOMATION CONGRESS, CAC 2025. ISBN 979-833158967-7, 2025, p. 4078-4083. https://doi.org/10.1109/CAC67268.2025.11487068. SCOPUS

162. [1.2] ZHU, E. – LI, M. – SUN, J. – CHEN, X. – MENG, W. – XING, X. Measurement of psychological stress in nursing staff based on BiLSTM+Attention analysis of EEG signals. In CHINESE JOURNAL OF MEDICAL PHYSICS. ISSN 1005-202X, 2025, vol. 42, p. 651-659. https://doi.org/10.3969/j.issn.1005-202X.2025.05.015. SCOPUS

163. [1.2] ZHUO, S. – WU, Z. – WILLIAMS, C. – SUNDARESAN, C. – AMERI, S.K. In-Ear Electronics with Mechanical Adaptability for Physiological Sensing. In ADVANCED HEALTHCARE MATERIALS. ISSN 2192-2640, 2025, vol. 14, art. no. 2404296. https://doi.org/10.1002/adhm.202404296. SCOPUS

164. [3.1] ABDELKADER, B. – ELKHOLY, S.H. – MOSTAFA, S. – HABASHY, H. – BASHEER, M. – SAYED, B. Video game playing effects on young adult’s brain rhythm quantitative EEG study. In DISCOVER SENSORS. ISSN 3005-1851, 2025, vol. 1, no. 9. https://doi.org/10.1007/s44397-025-00010-4

165. [3.1] ARDEREANU, I.A. Medicine of the Future: Binaural Music and Rife Waves. In THE ROMANIAN JOURNAL OF MUSIC AND MEDICINE. ISSN 2344-3510, 2025, vol. 6, no. 1, p. 71-76. https://musicandmedicinejournal.ro/index.php/rjmm/article/view/64.

166. [3.1] BASU, M. – GHOSH, D. Complexity Study in Different States of Consciousness Using Brain Waves. In JOURNAL OF CONSCIOUSNESS EXPLORATION & RESEARCH. ISSN 2153-8212, 2025, vol. 16, no. 3, p. 311-338. https://mail.jcer.com/index.php/jcj/article/view/1164.

167. [3.1] ESPINDOLA-ULIBARRI, L. – KOLESNIKOVA, O. – MENCHACA-MÉNDEZ, R. Inner Speech Recognition Using EEG Signals: State of the Art and Proposed Methodology. In RESEARCH IN COMPUTING SCIENCE. ISSN 1870-4069, 2025, vol. 154, no. 2, p. 5-19. (in Spanish)

168. [3.1] FARABBI, A. – COSTANZO PALMISCIANO, A. – ROSSI, M. – ANTONELLO, N. – TROJANIELLO, D. – ONGARELLO, T. – CERVERI, P. – MAINARDI, L. Advancements in Wearable EEG Technology: Electrode Characterization and Signal Quality Assessment. In In PROCEEDINGS OF THE 18TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES (BIOSTEC 2025). ISBN 978-989-758-731-3, 2025, p. 716-720. https://doi.org/10.5220/0013153300003911

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170. [3.1] HAI, Q. – YANG, L. – YE, Y. – WANG, Q. – DU, J. – HE, H. DDSPR: Dynamic Domain Selection and Pseudo-label Refinement for Cross-Subject EEG-based Emotion Recognition. In PROCEEDINGS OF THE ANNUAL MEETING OF THE COGNITIVE SCIENCE SOCIETY. ISSN 1069-7977, 2025, vol. 47. https://escholarship.org/uc/item/7fg74669.

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Vedecké práce v zahraničných impaktovaných časopisoch registrovaných v databázach WOS alebo SCOPUS

• AVIN, O. – ALMAGOR, O. – NOAH, Y. – ROSIPAL, Roman – SHRIKI, O. Supervised autoencoder denoiser for non-stationarity in multi-session EEG-based BCI. In Journal of Neural Engineering, 2025, vol. 22, art. no. 026043. (2024: 3.8 – IF, Q2 – JCR, 1.127 – SJR, Q1 – SJR). ISSN 1741-2560. https://doi.org/10.1088/1741-2552/adc48e

Citácie SCOPUS: 1

1. [1.2] CHEN, X. – ZHANG, X. – CHENG, Y. – CHEN, W. – HUANG, Z. – LIU, Z. – ZHANG, Y. Research Progress on Multi-domain Adaptation Problems in Clinical Data Modeling. In COMPUTER SCIENCE. ISSN 1002-137X, 2025, vol. 52, no. 9, p. 25-36. https://doi.org/10.11896/jsjkx.250600104. SCOPUS

 

• BERETA, M. – TEPLAN, Michal – ZAKAR, T. – VU VIET, Hoang – CIFRA, M. – CHAVAI, D.E. Biological autoluminescence enables effective monitoring of yeast cell electroporation. In Biotechnology Journal, 2024, vol. 19, no. 4, art. no. 2300475. (2023: 3.2 – IF, Q2 – JCR, 0.908 – SJR, Q1 – SJR). ISSN 1860-6768. https://doi.org/10.1002/biot.202300475

Citácie WOS: 1

1. [1.1] CHEN, H.C. – SHEN, C.F. – SHIAU, J.H. – CHENG, C.M. Innovative nano-electrode chip for electroporation in yeast. In MATERIALS TODAY ADVANCES. ISSN 2590-0498, DEC 2025, vol. 28, art. no. 100665. https://doi.org/10.1016/j.mtadv.2025.100665. WOS

 

• CLUITMANS, M. – BROOKS, D.H. – MACLEOD, R. – DOSSEL, O. – GUILLEM, M.S. – VAN DAM, P.M. – ŠVEHLÍKOVÁ, Jana – HE, B. – SAPP, J. – WANG, L. – BEAR, L. Validation and opportunities of electrocardiographic imaging: From technical achievements to clinical applications. In Frontiers in Physiology, 2018, vol. 9, art. no. 1305. (2017: 3.394 – IF, Q1 – JCR, 1.590 – SJR, Q1 – SJR). ISSN 1664-042X. https://doi.org/10.3389/fphys.2018.01305

Citácie WOS: 12; citácie SCOPUS: 3

1. [1.1] BALLATORE, A. – SAGLIETTO, A. – CAVALLONE, E. – DE FERRARI, G.M. – ANSELMINO, M. – DUSI, V. Noninvasive Cardiac Electrical Activity Mapping Systems: Current Available Options. In REVIEWS IN CARDIOVASCULAR MEDICINE. ISSN 1530-6550, NOV 21 2025, vol. 26, no. 11, art. no. 44335. https://doi.org/10.31083/RCM44335. WOS

2. [1.1] BEKLER, Ö. – KAZAN, S.D. – HARBALIOGLU, H. – KAYPAKLI, O. Predictive Value of Electrocardiographic Markers Versus Echocardiographic and Clinical Measures for Appropriate ICD Shocks in Heart Failure Patients. In JOURNAL OF CLINICAL MEDICINE. AUG 5 2025, vol. 14, no. 15, art. no. 5506. https://doi.org/10.3390/jcm14155506. WOS

3. [1.1] ENGELHARDT, E. – HOFFMANN, J. – BOUEKE, M. – ELSNER, L. – LEYE, M. – FREY, N. – SCHMIDT, G. Gradient-Based Optimization of All-Pass Filter Networks for Non-Invasive Electroanatomical Mapping. In IEEE ACCESS. ISSN 2169-3536, 2025, vol. 13, p. 126147-126166. https://doi.org/10.1109/ACCESS.2025.3588293. WOS

4. [1.1] HAAS, M. – GRANDITS, T. – PINETZ, T. – BEIERT, T. – PEZZUTO, S. – EFFLAND, A. Finite Element-Based Space-Time Total-Variation-Type Regularization of the Inverse Problem in Electrocardiographic Imaging. In SIAM JOURNAL ON SCIENTIFIC COMPUTING. ISSN 1064-8275, 2025, vol. 47, no. 6, p. B1317-B1342. https://doi.org/10.1137/24M1685055. WOS

5. [1.1] HE, S.J. – DONG, H.R. – ZHANG, X.B. – MILLHAM, R. – XU, L. – WU, W.Q. AI-Powered Noninvasive Electrocardiographic Imaging Using the Priori-to-Attention Network (P2AN) for Wearable Health Monitoring. In SENSORS. MAR 14 2025, vol. 25, no. 6, art. no. 1810. https://doi.org/10.3390/s25061810. WOS

6. [1.1] LI, L. – CAMPS, J. – RODRIGUEZ, B. – GRAU, V. Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey. In IEEE REVIEWS IN BIOMEDICAL ENGINEERING. ISSN 1937-3333, 2025, vol. 18, p. 316-336. https://doi.org/10.1109/RBME.2024.3486439. WOS

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• SPRINGER, E. – CARDOSO, P.L. – STRASSER, B. – BOGNER, W. – PREUSSER, M. – WIDHALM, G. – NITTKA, M. – KOERZDOERFER, G. – SZOMOLÁNYI, Pavol – HANGEL, G. – HAINFELLNER, J.A. – MARIK, W. – TRATTNIG, S. MR fingerprinting—A radiogenomic marker for diffuse gliomas. In Cancers, 2022, vol. 14, no. 3, art. no. 723. (2021: 6.575 – IF, Q1 – JCR, 1.349 – SJR, Q1 – SJR). ISSN 2072-6694. https://doi.org/10.3390/cancers14030723

Citácie WOS: 6; citácie SCOPUS: 2; iné citácie: 1

1. [1.1] AWAIS, M. – REHMAN, A. – BUKHARI, S.S. Advances in liquid biopsy and virtual biopsy for care of patients with glioma: a narrative review. In EXPERT REVIEW OF ANTICANCER THERAPY. ISSN 1473-7140, MAY 4 2025, vol. 25, no. 5, p. 529-550. https://doi.org/10.1080/14737140.2025.2489629. WOS

2. [1.1] LIU, H.Y. – VERSTEEG, E. – FUDERER, M. – VAN DER HEIDE, O. – SCHILDER, M.B. – VAN DEN BERG, C.A.T. – SBRIZZI, A. Time-efficient, high-resolution 3T whole-brain relaxometry using Cartesian 3D MR Spin TomogrAphy in Time-Domain (MR-STAT) with cerebrospinal fluid suppression. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, MAY 2025, vol. 93, no. 5, p. 2008-2019. https://doi.org/10.1002/mrm.30384. WOS

3. [1.1] SANVITO, F. – KRYUKOV, I. – YAO, J.W. – TERAISHI, A. – RAYMOND, C. – GAO, J. – MILLER, C. – NGHIEMPHU, P.L. – LAI, A. – LIAU, L.M. – PATEL, K. – EVERSON, R.G. – ELDRED, B.S.C. – PRINS, R.M. – NATHANSON, D.A. – SALAMON, N. – CLOUGHESY, T.F. – ELLINGSON, B.M. Advanced imaging characterization of post-chemoradiation glioblastoma stratified by diffusion MRI phenotypes known to predict favorable anti-VEGF response. In JOURNAL OF NEURO-ONCOLOGY. ISSN 0167-594X, JUL 2025, vol. 173, no. 3, p. 583-594. https://doi.org/10.1007/s11060-025-05019-8. WOS

4. [1.1] SCHILDER, M.B. – MANDIJA, S. – JACOBS, S.M. – KLEINLOOG, J.P.D. – LIU, H.N. – VAN DER HEIDE, O. – KöKTAS, B. – D‘;AGATA, F. – KEIL, V.C.W. – VONKEN, E.J.P.A. – DANKBAAR, J.W. – HENDRIKSE, J. – SNIJDERS, T.J. – VAN DEN BERG, C.A.T. – VAN DER KOLK, A.G. – SBRIZZI, A. Fast whole brain relaxometry with Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) at 3 T: a retrospective cohort study. In MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE. ISSN 1352-8661, APR 2025, vol. 38, no. 2, p. 333-345. https://doi.org/10.1007/s10334-025-01237-3. WOS

5. [1.1] SONG, D.D. – FAN, G.G. – CHANG, M. Research Progress on Glioma Microenvironment and Invasiveness Utilizing Advanced Multi-Parametric Quantitative MRI. In CANCERS. JAN 2025, vol. 17, no. 1, art. no. 74. https://doi.org/10.3390/cancers17010074. WOS

6. [1.1] VAN HEES, S.V. – SCHILDER, M.B. – KEYSER, A. – SBRIZZI, A. – KLEINLOOG, J.P.D. – BOON, W.P.C. Exploring scenarios for implementing fast quantitative MRI. In EUROPEAN JOURNAL OF RADIOLOGY OPEN. JUN 2025, vol. 14, art. no. 100658. https://doi.org/10.1016/j.ejro.2025.100658. WOS

7. [1.2] BHATTI, F. – STROBEL, J. – TENCH, C. – GRECH-SOLLARS, M. – DINEEN, R.A. – SOLLMANN, N. – THUST, S. Apparent diffusion coefficient for genetic characterization of untreated adult gliomas: A meta-analysis stratified by methods. In NEURO-ONCOLOGY ADVANCES. ISSN 2632-2498, 2025, vol. 7, art. no. vdaf103. https://doi.org/10.1093/noajnl/vdaf103. SCOPUS

8. [1.2] MOHAMED SAJER, R. – PENDEM, S. – KADAVIGERE, R. – PRIYANKA – NAYAK, S.S. – NAYAK, K. – PIRES, T. – OBHULI, C.M. – ABHIJITH, S. – RAGHU, V. Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review. In F1000RESEARCH. ISSN 2046-1402, 2025, vol. 14, art. no. 54. https://doi.org/10.12688/f1000research.160088.1. SCOPUS

9. [3.1] AHMED, A. – REHMAN, S. – SHAUKAT, F. – ANWAR, Z. Exploring the Role of Neuroradiologists in NeuroOncology Tumor Boards: A Review. In NATIONAL JOURNAL OF HEALTH SCIENCES. ISSN 2519-7053, 2025, vol. 10, p. S3-S10. https://doi.org/10.21089/njhs.10S1.00S3

 

• ŠEDIVÝ, P. – DEZORTOVÁ, M. – RYDLO, J. – DROBNÝ, M. – KRŠŠÁK, M. – VALKOVIČ, Ladislav – HÁJEK, M. MR compatible ergometers for dynamic 31P MRS. In Journal of Applied Biomedicine, 2019, vol. 17, no. 2, p. 91-98. (2018: 1.573 – IF, Q4 – JCR, 0.335 – SJR, Q2 – SJR). ISSN 1214-021X. https://doi.org/10.32725/jab.2019.006

Citácie WOS: 2

1. [1.1] HOOIJMANS, M.T. – JENESON, J.A.L. – JORSTAD, H.T. – BAKERMANS, A.J. Exercise MR of Skeletal Muscles, the Heart, and the Brain. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, FEB 2025, vol. 61, no. 2, p. 535-560. https://doi.org/10.1002/jmri.29445. WOS

2. [1.1] LI, Y. – DING, W.J. – LI, X.M. Exploring 31P-MRS changes in skeletal muscle of riboflavin-responsive lipid storage myopathy patients: Clinical value and implications. In NEUROLOGY ASIA. ISSN 1823-6138, JUN 2025, vol. 30, no. 2, p. 503-509. https://doi.org/10.54029/2025pwk. WOS

 

• TEPLAN, Michal – ŠUŠMÁKOVÁ, Kristína – PALUŠ, M. – VEJMELKA, M. Phase synchronization in human EEG during audio-visual stimulation. In Electromagnetic Biology and Medicine, 2009, vol. 28, p. 80-84. (2008: 0.692 – IF, Q3 – JCR, 0.226 – SJR, Q3 – SJR). ISSN 1536-8378. https://doi.org/10.1080/15368370802714148

Citácie WOS: 1

1. [1.1] RAHMANI, M. – LAURO, L.J.R. – PISONI, A. Audio-Visual Entrainment Neuromodulation: A Review of Technical and Functional Aspects. In BRAIN SCIENCES. SEP 30 2025, vol. 15, no. 10, art. no. 1070. https://doi.org/10.3390/brainsci15101070. WOS

 

• VALKOVIČ, Ladislav – DRAGONU, I. – ALMUJAYYAZ, S. – BATZAKIS, A. – YOUNG, L.A.J. – PURVIS, L.A.B. – CLARKE, W.T. – WICHMANN, T. – LANZ, T. – NEUBAUER, S. – ROBSON, M.D. – KLOMP, D.W.J. – RODGERS, C.T. Using a whole-body 31P birdcage transmit coil and 16-element receive array for human cardiac metabolic imaging at 7T. In PLoS ONE, 2017, vol. 12, no. 10, art. no. e0187153. (2016: 2.806 – IF, Q1 – JCR, 1.236 – SJR, Q1 – SJR). ISSN 1932-6203. https://doi.org/10.1371/journal.pone.0187153

Citácie WOS: 1

1. [1.1] WIDMAIER, M.S. – KAISER, A. – BAUP, S. – WENZ, D. – PIERZCHALA, K. – XIAO, Y. – HUANG, Z.W. – JIANG, Y. – XIN, L.J. Fast 3D 31P B1+ mapping with a weighted stack of spiral trajectory at 7 T. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, FEB 2025, vol. 93, no. 2, p. 481-489. https://doi.org/10.1002/mrm.30321. WOS

 

• VALKOVIČ, Ladislav – APPS, A. – ELLIS, J. – NEUBAUER, S. – TYLER, D.J. – SCHMID, A.I. – RIDER, O. – RODGERS, C.T. Increased cardiac Pi/PCr in the diabetic heart observed using phosphorus magnetic resonance spectroscopy at 7T. In PLoS ONE, 2022, vol. 17, no. 6, art. no. e0269957. (2021: 3.752 – IF, Q2 – JCR, 0.852 – SJR, Q1 – SJR). ISSN 1932-6203. https://doi.org/10.1371/journal.pone.0269957

Citácie WOS: 2; citácie SCOPUS: 1

1. [1.1] MUSGRAVE, J.H. – HAN, J.C. – WARD, M.L. – KANG, N. – TABERNER, A.J. – TRAN, K. Human cardiac tissues produce lower contractile stress and exhibit slower cross-bridge cycling in type 2 diabetes. In CARDIOVASCULAR DIABETOLOGY. JUL 3 2025, vol. 24, no. 1, art. no. 266. https://doi.org/10.1186/s12933-025-02820-7. WOS

2. [1.1] STROCCHI, M. – HAMMERSLEY, D.J. – HALLIDAY, B.P. – PRASAD, S.K. – NIEDERER, S.A. Cardiac digital twins: a tool to investigate the function and treatment of the diabetic heart. In CARDIOVASCULAR DIABETOLOGY. JUL 18 2025, vol. 24, no. 1, art. no. 293. https://doi.org/10.1186/s12933-025-02839-w. WOS

3. [1.2] JIANG, K. – ZHANG, H. – XU, L. Research progresses of multimodal imaging in diabetic cardiomyopathy. In CHINESE JOURNAL OF MEDICAL IMAGING TECHNOLOGY. ISSN 1003-3289, 2025, vol. 41, no. 10, p. 1746-1749. https://doi.org/10.13929/j.issn.1003-3289.2025.10.030. SCOPUS

 

• WITKOVSKÝ, Viktor. Computing the exact distribution of the Bartlett‘;s test statistic by numerical inversion of its characteristic function. In Journal of Applied Statistics, 2020, vol. 47, no. 13-15, p. 2749-2764. (2019: 1.031 – IF, Q3 – JCR, 0.528 – SJR, Q3 – SJR). ISSN 0266-4763. https://doi.org/10.1080/02664763.2019.1675608

Citácie WOS: 1; iné citácie: 2

1. [1.1] BERSIMIS, S. – SACHLAS, A. – ECONOMOU, P. Monitoring defects on products‘; surface by incorporating scan statistics into process monitoring procedures. In QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL. ISSN 0748-8017, FEB 2025, vol. 41, no. 1, p. 293-317. https://doi.org/10.1002/qre.3652. WOS

2. [3.1] GU, F. Exploring how English language education can support non-native English speaking students to access and communicate effectively in the global housing market. In INTERNATIONAL JOURNAL FOR HOUSING SCIENCE AND ITS APPLICATIONS. ISSN 0146-6518, 2025, vol. 46, no. 4, p. 6786-6792. https://doi.org/10.70517/ijhsa464583

3. [3.1] PUZON, C.J. – SAMONTINA, R. – OBENZA, B. – TINIO, A.J. – INGUITO, M. – LAURETA, T.M. – SAYMAN, E.J. – AURESTELA, J. – KILESTE, F. Attitude of Engineering Students on AI System. In ASIA PACIFIC JOURNAL OF EDUCATIONAL TECHNOLOGIES, PSYCHOLOGY, AND SOCIAL SCIENCES. ISSN 3082-4052, 2025, vol. 1, no. 1, p. 80-100. https://doi.org/10.70847/592763

 

Vedecké práce v zahraničných neimpaktovaných časopisoch registrovaných v databázach WOS alebo SCOPUS

• ALMAGOR, O. – AVIN, O. – ROSIPAL, Roman – SHRIKI, O. Using autoencoders to denoise cross-session non-stationarity in EEG-based motor-imagery brain-computer interfaces. In 2022 IEEE 16th International Scientific Conference on Informatics. – IEEE, 2022, p. 24-28. ISBN 979-8-3503-1034-4. https://doi.org/10.1109/Informatics57926.2022.10083486

Citácie WOS: 1

1. [1.1] LIM, G.B.S. – LIM, B.G.S. – BANDALA, A.A. – JOSE, J.A.C. – CHU, T.S.C. – SYBINGCO, E. AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification. In IEEE ACCESS. ISSN 2169-3536, 2025, vol. 13, p. 187383-187409. https://doi.org/10.1109/ACCESS.2025.3627419. WOS

 

• BAGÍN, R. – KOTESKA, B. – KOSTOSKA, M. – ACKOVSKA, N. – MISHEV, A. – MADEVSKA BOGDANOVA, A. – TYŠLER, Milan. Smart system for real-time monitoring of vital parameters. In CEUR Workshop Proceedings, 2024, vol. 3845, art. no. 204303. (2023: 0.191 – SJR). ISSN 1613-0073.

Citácie WOS: 1

1. [1.1] ZIRNA, B.A. – HOCIUNG, O.A. – PATURCA, S.V. – FRUNZETE, M.C. Multiple Educational Sensor System and Application for Vital Signs and Daily Activities Monitoring. In 2025 14TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING, ATEE. ISSN 1843-8571, 2025, art. no. 119. https://doi.org/10.1109/ATEE66006.2025.11299902. WOS

 

• BEAR, L. – DOGRUSOZ, Y.S. – ŠVEHLÍKOVÁ, Jana – COLL-FONT, J. – GOOD, W. – VAN DAM, E. – MACLEOD, R. – ABELL, E. – WALTON, R. – CORONEL, R. – HAISSAGUERRE, M. – DUBOIS, R. Effects of ECG signal processing on the inverse problem of electrocardiography. In Computing in Cardiology, 2019, vol. 45, 4 p. (2018: 0.202 – SJR). ISSN 2325-8861. https://doi.org/10.22489/CinC.2018.070

Citácie WOS: 1

1. [1.1] CAMPS, J. – WANG, Z.J. – DOSTE, R. – BERG, L.A. – HOLMES, M. – LAWSON, B. – TOMEK, J. – BURRAGE, K. – BUENO-OROVIO, A. – RODRIGUEZ, B. Harnessing 12-lead ECG and MRI data to personalise repolarisation profiles in cardiac digital twin models for enhanced virtual drug testing. In MEDICAL IMAGE ANALYSIS. ISSN 1361-8415, FEB 2025, vol. 100, art. no. 103361. https://doi.org/10.1016/j.media.2024.103361. WOS

 

• BIAN, S. – KANG, P. – MOOSMANN, J. – LIU, M. – BONAZZI, P. – ROSIPAL, Roman – MAGNO, M. On-device learning of EEGNet-based network for wearable motor imagery brain-computer interface. In ISWC ‚;24: Proceedings of the 2024 ACM International Symposium on Wearable Computers. – New York, US : Association for Computing Machinery, 2024, 2024, pp. 9-16. ISBN 979-8-4007-1059-9. https://doi.org/10.1145/3675095.3676607

Citácie WOS: 6; citácie SCOPUS: 2; iné citácie: 1

1. [1.1] FENG, Y.H. – ZHANG, Y.W. – ZHOU, H. – ZHANG, X. – LIU, Z. A Lightweight Edge-Centric Chewing Sensing System with Multimodal Biosignal Fusion for Oral Health Monitoring. In COMPANION OF THE 2025 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2025. 2025, p. 10-14.. WOS

2. [1.1] GóMEZ-MORALES, O.W. – ESCALANTE-ESCOBAR, S. – COLLAZOS-HUERTAS, D.F. – ALVAREZ-MEZA, A.M. – CASTELLANOS-DOMINGUEZ, G. Uncertainty-Aware Deep Learning for Robust and Interpretable MI EEG Using Channel Dropout and LayerCAM Integration. In APPLIED SCIENCES-BASEL. JUL 18 2025, vol. 15, no. 14, art. no. 8036. https://doi.org/10.3390/app15148036. WOS

3. [1.1] HEIM, M. – HEINRICHS, F. – HUEPPE, M. – NUNEZ, F. – SZAMEITAT, A. – REUTER, M. – GOETZ, S.M. – WEBER, C. Real-Time EEG-Based BCI for Self-Paced Motor Imagery and Motor Execution Using Functional Neural Networks. In IEEE ACCESS. ISSN 2169-3536, 2025, vol. 13, p. 91232-91247. https://doi.org/10.1109/ACCESS.2025.3569932. WOS

4. [1.1] JANG, Y. – JUNG, D. – SONG, S. – LEE, H. – KIM, J. InfiniMind: A Learning-Optimized Large-Scale Brain-Computer Interface. In PROCEEDINGS OF THE 52ND ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE, ISCA 2025. 2025, p. 1969-1985. https://doi.org/10.1145/3695053.3731067. WOS

5. [1.1] LI, Y.Y. – ZENG, W.M. – DONG, W.H. – HAN, D. – CHEN, L. – CHEN, H.Y. – KANG, Z.J. – GONG, S.Y. – YAN, H.J. – SIOK, W.T. – WANG, N.Z. A Tale of Single-Channel Electroencephalography: Devices, Datasets, Signal Processing, Applications, and Future Directions. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, 2025, vol. 74, art. no. 4007920. https://doi.org/10.1109/TIM.2025.3556900. WOS

6. [1.1] NGUYEN, M.D. – DO, T. – TRAN, X.T. – NGUYEN, Q.T. – LIN, C.T. Edge AI-Brain-Computer Interfaces System: A Survey. In IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING. ISSN 1534-4320, 2025, vol. 33, p. 4051-4066. https://doi.org/10.1109/TNSRE.2025.3618688. WOS

7. [1.2] KHAN, I. – MURAD, S. – KHALID, M. – RAMZAN, H. – KHAN, H.H. Wearables, Smart Textiles & AI Biomechanics in Sports: A Narrative Review. In PREMIER JOURNAL OF SCIENCE. ISSN 3049-9011, 2025, vol. 14, art. no. 100112. https://doi.org/10.70389/PJS.100112. SCOPUS

8. [1.2] NIKOLOV, P. – BYCHKOV, O.S. – RASHEVA-YORDANOVA, K. – DIMITROV, G. – PETROV, P.S. – MARTSENYUK, V. Exploring the Potential of Brain-Computer Interfaces and EEG Signal Analysis Algorithms: A Review and Analysis of Computational Techniques. In INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER INFORMATION TECHNOLOGIES, ACIT. ISBN 979-833159543-2, 2025, p. 906-913. https://doi.org/10.1109/ACIT65614.2025.11185624. SCOPUS

9. [3.1] MUTLU, A. – DOGAN, S. – TUNCER, T. Artificial Intelligence in Electroencephalography: A Comprehensive Survey of Methods, Challenges, and Applications. In ACADLORE TRANSACTIONS ON AI AND MACHINE LEARNING. ISSN 2957-9562, 2025, vol. 4, no. 3, p. 186-218. https://doi.org/10.56578/ataiml040304

 

• ĎURIŠ, S. – ĎURIŠOVÁ, Z. – PALENČÁR, J. – PAVLÁSEK, P. – WIMMER, G. – WITKOVSKÝ, Viktor. Alternative methods for determination of certified value and its uncertainty: Case study of using the gravimetric method for preparation of gaseous primary reference material of ethanol in nitrogen at the Slovak Institute of Metrology. In Measurement Techniques, 2019, vol. 62, no. 4, p. 312-318. (2018: 0.151 – SJR, Q4 – SJR). ISSN 0543-1972. https://doi.org/10.1007/s11018-019-01623-z

Citácie WOS: 1

1. [1.1] LIU, Y. – LIU, J.J. – XIAO, J. – YE, J. – GUO, L.X. – YAN, C.Q. Metrological traceable calibration of organic carbon and elemental carbon based on laboratory-generated reference materials. In JOURNAL OF ENVIRONMENTAL SCIENCES. ISSN 1001-0742, MAR 2025, vol. 149, p. 524-534. https://doi.org/10.1016/j.jes.2023.10.031. WOS

 

• GÄBLER, S. – STAMPFL, J. – KOCH, T. – SEIDLER, S. – SCHÜLLER, G.C. – REDL, H. – JURÁŠ, Vladimír – TRATTNIG, S. – WEIDISCH, R. Determination of the viscoelastic properties of hydrogels based on polyethylene glycol diacrylate (PEG-DA) and human articular cartilage. In International Journal of Materials Engineering Innovation, 2009, vol. 1, no. 1, p. 3-20. ISSN 1757-2754. https://doi.org/10.1504/IJMATEI.2009.024024

Citácie WOS: 3

1. [1.1] EFSTATHIOU, S. – WEMYSS, A.M. – COURSARI, D. – HAND, R.A. – TINLEY, E.C. – FORD, J. – EDWARDS, S.E. – BATES, S. – EVANS, R.L. – KHOSHDEL, E. – HADDLETON, D.M. Development of colorimetric PEG-based hydrogel sensors for urea detection. In SOFT MATTER. ISSN 1744-683X, MAR 19 2025, vol. 21, no. 12, p. 2268-2281. https://doi.org/10.1039/d4sm01500b. WOS

2. [1.1] MPUHWE, N.A. – KIM, G.N. – KOH, Y.H. Vat Photopolymerization of CeO2-Incorporated Hydrogel Scaffolds with Antimicrobial Efficacy. In MATERIALS. MAR 2025, vol. 18, no. 5, art. no. 1125. https://doi.org/10.3390/ma18051125. WOS

3. [1.1] PENG, X. – JANICIJEVIC, Z. – LOUREIRO, L.R. – HOFFMANN, L. – LEE, P.S. – CELA, I. – KRUPPKE, B. – KEGLER, A. – FELDMANN, A. – GORODETSKA, I. – MARKL, A.M. – DUBROVSKA, A. – OFFERMANN, A.K. – BACHMANN, M. – BARABAN, L. Microphysiological Solid Tumor Models in Hydrogel Beads for CAR T Cell Immunotherapy Evaluation. In ADVANCED SCIENCE. NOV 1 2025, vol. 12, no. 41, art. no. e08267. https://doi.org/10.1002/advs.202508267. WOS

 

• GASSA, N. – BOONSTRA, M. – ONDRUŠOVÁ, Beáta – ŠVEHLÍKOVÁ, Jana – BROOKS, D. – NARAYAN, A. – RABABAH, A. – VAN DAM, P. – MACLEOD, R. – TATE, J. – ZEMZEMI, N. Effect of segmentation uncertainty on the ECGI inverse problem solution and source localization. In Computing in Cardiology, 2022, vol. 49, p. non. (2021: 0.257 – SJR). ISSN 2325-8861. https://doi.org/10.22489/CinC.2022.275

Citácie WOS: 1

1. [1.1] LI, L. – CAMPS, J. – RODRIGUEZ, B. – GRAU, V. Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey. In IEEE REVIEWS IN BIOMEDICAL ENGINEERING. ISSN 1937-3333, 2025, vol. 18, p. 316-336. https://doi.org/10.1109/RBME.2024.3486439. WOS

 

• GRENDÁR, Marián. Entropy and effective support size. In Entropy, 2006, vol. 8, no. 3, p. 169-174. (2005: 0.300 – SJR, Q3 – SJR). ISSN 1099-4300. https://doi.org/10.3390/e8030169

Citácie WOS: 1

1. [1.1] SONG, C.L. – LU, M.Y. – BENNETT, J.R. – GILBERT, B. – FORTIN, M.J. – GONZALEZ, A. A geometric approach to beta diversity. In ECOLOGICAL MONOGRAPHS. ISSN 0012-9615, MAR 19 2025, vol. 95, no. 1, art. no. e70008. https://doi.org/10.1002/ecm.70008. WOS

 

• GRENDÁR, Marián – JUDGE, G. Empty set problem of maximum empirical likelihood methods. In Electronic Journal of Statistics, 2009, vol. 3, p. 1542-1555. ISSN 1935-7524. https://doi.org/10.1214/09-EJS528

Citácie WOS: 1

1. [1.1] WEI, N.H. – KIEN, D.T. – CHAUDHURI, S. elhmc: An R Package for Hamiltonian Monte Carlo Sampling in Bayesian Likelihood. In R JOURNAL. ISSN 2073-4859, DEC 2025, vol. 17, no. 4, p. 237-254.. WOS

 

• GRUWEL, M.L.H. – LATTA, Peter – SBOTO-FRANKENSTEIN, U. – GERVAI, P. Visualization of water transport pathways in plants using diffusion tensor imaging. In Progress in Electromagnetics Research C, 2013, vol. 35, p. 73-82. (2012: 0.397 – SJR). ISSN 1937-8718.

Citácie WOS: 1

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• TEPLAN, Michal – KUKUČKA, M. – ONDREJKOVIČOVÁ, A. Impedance analysis of acupuncture points and pathways. In Journal of Physics: Conference Series, 2011, vol. 329, art.no. 012034. (2010: 0.288 – SJR, Q3 – SJR). ISSN 1742-6588. https://doi.org/10.1088/1742-6596/329/1/012034

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• TOMIC, M. – ILIC, S.D. – MINETTI, C. – IORIO, C.S. – TYŠLER, Milan – SPASENOVIC, M. Wearable ECG smart patch for mass casualty emergency situations. In 2023 IEEE 33rd International Conference on Microelectronics (MIEL). – IEEE, 2023, non. p. ISBN 979-8-3503-4776-0. https://doi.org/10.1109/MIEL58498.2023.10315845

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• TYŠLER, Milan – TURZOVÁ, Marie – TIŇOVÁ, Mária – ŠVEHLÍKOVÁ, Jana – HEBLÁKOVÁ, Eva – SZATHMÁRY, V. – FILIPOVÁ, S. Use of body surface potential maps for model-based assessment of local pathological changes in the heart. In Bulletin of the Polish Academy of Sciences, 2005, vol. 53, no. 3, p. 207-215. ISSN 0239-7582.

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1. [1.1] MAYORCA-TORRES, D. – LEóN-SALAS, A.J. – PELUFFO-ORDOñEZ, D.H. Systematic review of computational techniques, dataset utilization, and feature extraction in electrocardiographic imaging. In MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING. ISSN 0140-0118, MAY 2025, vol. 63, no. 5, p. 1289-1317.. WOS

 

• WITKOVSKÝ, Viktor. Characteristic function of the Tsallis q-Gaussian and its applications in measurement and metrology. In Metrology, 2023, vol. 3, no. 2, p. 222-236. ISSN 2673-8244. https://doi.org/10.3390/metrology3020012

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• WITKOVSKÝ, Viktor. On the exact two-sided tolerance intervals for univariate normal distribution and linear regression. In Austrian Journal of Statistics, 2014, vol. 43, no. 3-4, p. 279-292. ISSN 1026-597X. https://doi.org/10.17713/ajs.v43i4.46

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• WITKOVSKÝ, Viktor. Numerical inversion of a characteristic function: An alternative tool to form the probability distribution of output quantity in linear measurement models. In Acta IMEKO, 2016, vol. 5, no. 3, p. 32-44. (2015: 0.136 – SJR, Q4 – SJR). ISSN 2221-870X. https://doi.org/10.21014/acta_imeko.v5i3.382

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1. [1.1] BEARE, B.K. – TODA, A.A. Optimal taxation and the Domar-Musgrave effect. In ECONOMIC INQUIRY. ISSN 0095-2583, OCT 2025, vol. 63, no. 4, p. 1170-1200. https://doi.org/10.1111/ecin.70007. WOS

2. [1.1] HANC, J. – HANCOVA, M. – BOROVSKY, D. Novel computational approaches for ratio distributions with an application to Hake‘;s ratio in effect size measurement. In STATISTICAL PAPERS. ISSN 0932-5026, MAY 31 2025, vol. 66, no. 5, art. no. 102. https://doi.org/10.1007/s00362-025-01717-7. WOS

3. [1.1] SEMENOV, S. – KRUPSKA-KLIMCZAK, M. – FRONTCZAK, M. – YU, J. – HE, J. – CHERNYKH, O. Adaptive Stochastic GERT Modeling of UAV Video Transmission for Urban Monitoring Systems. In APPLIED SCIENCES-BASEL. AUG 23 2025, vol. 15, no. 17, art. no. 9277. https://doi.org/10.3390/app15179277. WOS

 

Vedecké práce v domácich impaktovaných časopisoch registrovaných v databázach WOS alebo SCOPUS

• BULAS, J. – POTOCAROVA, M. – KUPCOVA, V. – GASPAR, L. – WIMMER, Gejza, ml. – MURIN, J. Central systolic blood pressure increases with aortic stiffness. In Bratislava Medical Journal, 2019, vol. 120, no. 12, p. 894-898. (2018: 0.859 – IF, Q3 – JCR, 0.264 – SJR, Q3 – SJR). ISSN 0006-9248. https://doi.org/10.4149/BLL_2019_150

Citácie WOS: 1; citácie SCOPUS: 1; iné citácie: 1

1. [1.1] FRAENKEL, E. – MOZOS, I. Central Blood Pressure and Vascular Aging in Patients with Type 2 Diabetes Mellitus. In ARTERY RESEARCH. ISSN 1872-9312, MAY 5 2025, vol. 31, no. 1, art. no. 10. https://doi.org/10.1007/s44200-025-00078-8. WOS

2. [1.2] NUÑEZ, A.P. – IPAR, E. – VIDAL, M.D. – ARMENTANO, R.L. – CYMBERKNOP, L.J. Temporal Artery Photoplethysmography as a Surrogate for Central Hemodynamics: From Pulse Transit Time Analysis to Deep Learning Estimation. In IFMBE PROCEEDINGS. ISSN 1680-0737, 2025, vol. 136, p. 1186-1197. https://doi.org/10.1007/978-3-032-06401-1_100. SCOPUS

3. [3.1] SOLANKI, J. – SAJAN, P. – TRIVEDI, B. – KAKADIA, P. – PANJWANI, S. – MOHANDAS, K. Comparison of Prevalent Hypertension by Aortic versus Brachial Blood Pressure Criteria for – A Pulse Wave Analysis Based Study from Adults of a City of West India. In NIGERIAN MEDICAL JOURNAL. ISSN 0300-1652, 2025, vol. 66, no. 1, art. no. 109. https://doi.org/10.71480/nmj.v66i1.616

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. – MATOUŠEK, J. Evaluation of speaker de-identification based on voice gender and age conversion. In Journal of Electrical Engineering, 2018, vol. 69, no. 2, p. 138-147. (2017: 0.508 – IF, Q4 – JCR, 0.205 – SJR, Q3 – SJR). ISSN 1335-3632. https://doi.org/10.2478/jee-2018-0017

Citácie WOS: 2

1. [1.1] HANISCH, S. – ARIAS-CABARCOS, P. – PARRA-ARNAU, J. – STRUFE, T. Anonymization Techniques for Behavioral Biometric Data: A Survey. In ACM COMPUTING SURVEYS. ISSN 0360-0300, NOV 2025, vol. 57, no. 11, art. no. 272. https://doi.org/10.1145/3729418. WOS

2. [1.1] MILLOT, C. – PONCHARD, C. – GENDROT, C. – BONASTRE, J.F. – DUFOUR, O. Using gender, phonation and age to interpret automatically discovered speech attributes for explainable speaker recognition. In INTERSPEECH 2025. ISSN 2308-457X, 2025, p. 3638-3642. https://doi.org/10.21437/Interspeech.2025-1963. WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, Anna – DERMEK, Tomáš. Wearable PPG optical sensor enabling contact pressure and skin temperature measurement. In Journal of Electrical Engineering, 2025, vol. 76, no. 2, p. 134-146. (2024: 1.2 – IF, Q4 – JCR, 0.225 – SJR, Q3 – SJR). ISSN 1335-3632. https://doi.org/10.2478/jee-2025-0014

Citácie WOS: 1

1. [1.1] CVETKOVIC, S. – STANKOVIC, S. – STANCIC, G. Modular deep residual network for driver stress detection based on photoplethysmography. In JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS. ISSN 1335-3632, AUG 1 2025, vol. 76, no. 4, p. 344-355. https://doi.org/10.2478/jee-2025-0035. WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, Anna – MATOUŠEK, J. Automatic statistical evaluation of quality of unit selection speech synthesis with different prosody manipulations. In Journal of Electrical Engineering, 2020, vol. 71, no. 2, p. 78-86. (2019: 0.686 – IF, Q4 – JCR, 0.204 – SJR, Q3 – SJR). ISSN 1335-3632. https://doi.org/10.2478/jee-2020-0012

Citácie SCOPUS: 1

1. [1.2] GALDINO, J.C. – MATOS, A.N. – SVARTMAN, F.R.F. – ALUISIO, S.M. The evaluation of prosody in speech synthesis: a systematic review. In JOURNAL OF THE BRAZILIAN COMPUTER SOCIETY. ISSN 0104-6500, 2025, vol. 31, no. 1, p. 466-487. https://doi.org/10.5753/jbcs.2025.5468. SCOPUS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. – MATOUŠEK, J. GMM-based speaker age and gender classification in Czech and Slovak. In Journal of Electrical Engineering, 2017, vol. 68, no. 1, p. 3-12. (2016: 0.483 – IF, Q4 – JCR, 0.311 – SJR, Q2 – SJR). ISSN 1335-3632. https://doi.org/10.1515/jee-2017-0001

Citácie SCOPUS: 1

1. [1.2] BADAWI, A. – SABER, A. – MOHAMED, B. – SHAHIN, M. – ABDELRAHMAN, A. Gender classification using dorsal NIR hand veins imaging. In NEURAL COMPUTING AND APPLICATIONS. ISSN 1433-3058, 2025, vol. 37, no. 22, p. 18275-18301. https://doi.org/10.1007/s00521-025-11363-7. SCOPUS

 

• STEIN, G.J. – CHMÚRNY, R. – ROSÍK, Vladimír. Compact vibration measuring system for in-vehicle applications. In Measurement Science Review, 2011, vol. 11, no. 5, p. 154-159. (2010: 0.400 – IF, Q4 – JCR, 0.209 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/v10048-011-0030-1

Citácie WOS: 1

1. [2.1] DJURIC, A. – PERIC, S. – DRAKULIC, M. – BUKVIC, A. – JOVANOVIC, S. Contribution of using Vibration Diagnostic Tools in Assessing the Condition of Gear Elements in Off-Road Vehicle Gearboxes. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, APR 1 2025, vol. 25, no. 2, p. 53-63. https://doi.org/10.2478/msr-2025-0008. WOS

 

• TEPLAN, Michal – KRAKOVSKÁ, Anna – ŠPAJDEL, M. Spectral EEG features of a short psycho-physiological relaxation. In Measurement Science Review, 2014, vol. 14, no. 4, p. 237-242. (2013: 1.162 – IF, Q3 – JCR, 0.340 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2014-0032

Citácie WOS: 1; citácie SCOPUS: 1

1. [1.1] MOHAMMADI, A. – SEIFZADEH, S. – TORKAMANI, F. – SALEHI, S. An experimental EEG study of brain activities underlying the Autonomous Sensory Meridian Response. In IBRO NEUROSCIENCE REPORTS. ISSN 2667-2421, JUN 2025, vol. 18, p. 6-15. https://doi.org/10.1016/j.ibneur.2024.12.001. WOS

2. [1.2] KUYUCU M. – SARIKAYA M.A. – KARAKAŞ T. – ÖZKAN D.Y. – DEMIR Y. – BILEN Ö. – INCE G. Emotion recognition in Virtual Reality using sensor fusion with eye tracking. In COMPUTERS IN BIOLOGY AND MEDICINE. 2025, vol. 197, art. no. 111070. https://doi.org/10.1016/j.compbiomed.2025.111070. SCOPUS

 

• VOJTÍŠEK, Lubomír – FROLLO, Ivan – VALKOVIČ, Ladislav – GOGOLA, Daniel – JURÁŠ, Vladimír. Phased array receiving coils for low field lungs MRI: Design and optimization. In Measurement Science Review, 2011, vol. 11, no. 2, p. 61-66. (2010: 0.400 – IF, Q4 – JCR, 0.209 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/v10048-011-0012-3

Citácie WOS: 2

1. [1.1] HORNUNG, T.P.P. – KOONJOO, N. – SHEN, S. – LONGARINO, F.K. – KEENAN, K.E. – YAN, S.S. – BORTFELD, T.R. – ROSEN, M.S. Klinisches Management von Patienten mit Kavernomen des zentralen Nervensystems: Ein Update und Empfehlungen für die klinische Praxis. In IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. ISSN 0018-9294, MAY 2025, vol. 72, no. 5, p. 1750-1765. https://doi.org/10.1109/TBME.2024.3520895. WOS

2. [1.1] YANG, L. – HE, W. – SHEN, S. – HE, Y.C. – WU, J.M. – XU, Z. An Exploration of Parallel Imaging System for Very-Low-Field (50 mT) MRI Scanner. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, 2025, vol. 74, art. no. 4003713. https://doi.org/10.1109/TIM.2025.3546402. WOS

 

• WITKOVSKÝ, Viktor. Estimation, testing, and prediction regions of the fixed and random effects by solving the Henderson‘;s mixed model equations. In Measurement Science Review, 2012, vol. 12, no. 6, p. 234-248. (2011: 0.418 – IF, Q4 – JCR, 0.271 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/v10048-012-0033-6

Citácie WOS: 1

1. [1.1] MATHALON, D.H. – NICHOLAS, S. – ROACH, B.J. – BILLAH, T. – LAVOIE, S. – WHITFORD, T. – HAMILTON, H.K. – ADDAMO, L. – ANOHKIN, A. – BEKINSCHTEIN, T. – BELGER, A. – BUCCILLI, K. – CAHILL, J. – CARRION, R.E. – DAMIANI, S. – DZAFIC, I. – EBDRUP, B.H. – IZYUROV, I. – JARCHO, J. – JENNI, R. – JO, A. – KERINS, S. – LEE, C.R.C. – MARTIN, E.A. – MAYOL-TRONCOSO, R. – NIZNIKIEWICZ, M.A. – PARVAZ, M. – POGARELL, O. – PRIETO-MONTALVO, J. – RABIN, R. – ROALF, D.R. – ROGERS, J. – SALISBURY, D.F. – SHAIK, R. – SHANKMAN, S. – STEVENS, M.C. – SUEN, Y.N. – SWANN, N.C. – TANG, X.C. – THOMPSON, J.L. – TSO, I. – WENZEL, J. – ZHOU, J.H. – ADDINGTON, J. – ALAMEDA, L. – ARANGO, C. – BREITBORDE, N.J.K. – BROOME, M.R. – CADENHEAD, K.S. – CALKINS, M.E. – CASTILLO-PASSI, R.I. – CHEN, E.Y.H. – CHOI, J. – CONUS, P. – CORCORAN, C.M. – CORNBLATT, B.A. – DIAZ-CANEJA, C.M. – ELLMAN, L.M. – FUSAR-POLI, P. – GASPAR, P.A. – GERBER, C. – GLENTHOJ, L.B. – HORTON, L.E. – HUI, C.L.M. – KAMBEITZ, J. – KAMBEITZ-ILANKOVIC, L. – KESHAVAN, M.S. – KIM, M. – KIM, S.W. – KOUTSOULERIS, N. – KWON, J.S. – LANGBEIN, K. – MAMAH, D. – MITTAL, V.A. – NORDENTOFT, M. – PEARLSON, G.D. – PEREZ, J. – PERKINS, D.O. – POWERS, A.R. – SABB, F.W. – SCHIFFMAN, J. – SHAH, J.L. – SILVERSTEIN, S.M. – SMESNY, S. – STONE, W.S. – STRAUSS, G.P. – UPTHEGROVE, R. – VERMA, S.K. – WANG, J.J. – WOLF, D.H. – ZHANG, T.H. – BOUIX, S. – PASTERNAK, O. – CHO, K.I.K. – COLEMAN, M.J. – DWYER, D. – NUNEZ, A. – TAMAYO, Z. – WOOD, S.J. – KAHN, R.S. – KANE, J.M. – MCGORRY, P.D. – BEARDEN, C.E. – NELSON, B. – WOODS, S.W. – SHENTON, M.E. – LIGHT, G.A. The electroencephalography protocol for the Accelerating Medicines Partnership® Schizophrenia Program: Reliability and stability of measures. In SCHIZOPHRENIA. JUN 6 2025, vol. 11, no. 1, art. no. 85. https://doi.org/10.1038/s41537-025-00622-0. WOS

 

Vedecké práce v domácich neimpaktovaných časopisoch registrovaných v databázach WOS alebo SCOPUS

• COCHEROVÁ, Elena – TYŠLER, Milan. Simulation of body surface potentials during ventricular pacing. In Proceedings of the 14th International Conference on Measurement. 1. vyd. – Bratislava : Institute of Measurement Science, SAS, 2023, 2023, p. 105-108. ISBN 978-80-972629-7-6. https://doi.org/10.23919/MEASUREMENT59122.2023.10164321

Citácie WOS: 1

1. [1.1] TIAN, K.Q. – ZHANG, X. – YANG, J.Z. – HU, Y.Q. – ZHANG, A. – XIANG, M. – ZHENG, S.Q. – LIU, G. Advanced Simulation and Measurement of the Magnetocardiography Forward Problem Based on a Novel Electromagnetic Conversion Analytical Model. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, 2025, vol. 74, art. no. 1505117. https://doi.org/10.1109/TIM.2025.3562994. WOS

 

• GOGOLA, Daniel – KRAFČÍK, Andrej – FROLLO, Ivan – SZOMOLÁNYI, Pavol. Eddy currents compensation in MRI. In Proceedings of the 14th International Conference on Measurement. 1. vyd. – Bratislava : Institute of Measurement Science, SAS, 2023, 2023, p. 247-250. ISBN 978-80-972629-7-6. https://doi.org/10.23919/MEASUREMENT59122.2023.10164524

Citácie SCOPUS: 1

1. [1.2] DING, H. – GAO, J. – LIU, Y. – HU, L. – ZHANG, Z. – XU, J. Model-Based Simulation of Eddy Current Effects and Correction Methods in MRI Gradient Systems. In 2025 IEEE 5TH INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, MODELING AND COMPUTER SIMULATION, AMMCS 2025. ISBN 979-833154410-2, 2025. https://doi.org/10.1109/AMMCS65761.2025.11459848. SCOPUS

 

• HAIN, Miroslav – BARTL, Ján – JACKO, Vlado. Use of X-ray microtomography and radiography in cultural heritage testing. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 119-122. ISBN 978-80-972629-0-7. https://doi.org/10.23919/MEASUREMENT.2017.7983550

Citácie WOS: 2; iné citácie: 1

1. [1.1] PINHEIRO, A.C. – COUTINHO, M.L. – BOTTAINI, C. – ARAúJO, M. – PIRES, V. – MAIA, B.C. – MADUREIRA, J. – PEREIRA, F. The „Black Panther“: A multi-analytical study on the statue of the football player Eusébio da Silva Ferreira. In JOURNAL OF CULTURAL HERITAGE. ISSN 1296-2074, MAR-FEB 2025, vol. 72, p. 13-23. https://doi.org/10.1016/j.culher.2024.12.026. WOS

2. [1.1] VOPÁLENSKY, M. – MACHACKO, L. Twinned Orthogonal Adjustable Tomograph Device in Conservation Services: Case Studies of a Recent X-ray Investigation into Baroque Oil Paintings. In CHEMPLUSCHEM. ISSN 2192-6506, JUL 2025, vol. 90, no. 7. https://doi.org/10.1002/cplu.202500063. WOS

3. [3.1] WAYNE, A.N. Dual-purpose system for collectible card authentication, identification, and grading and anti-scanning protection. Patent US12306116B1, 2025. https://patents.google.com/patent/US12306116B1/en.

 

• CHVOSTEKOVÁ, Martina. A comparison of multiple-use confidence regions for multivariate calibration. In MEASUREMENT 2019 : Proceedings of the 12th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, Slovak Academy of Sciences, 2019, p. 244-247. ISBN 978-80-972629-2-1. https://doi.org/10.23919/MEASUREMENT47340.2019.8779940

Citácie SCOPUS: 1

1. [1.2] EREN, H. Calibrations: Artificial Intelligence and Applications. ISBN 978-103296807-0, 2025. https://doi.org/10.1201/9781003590767. SCOPUS

 

• KOŇAKOVSKÝ, Anton – CIGÁŇ, Alexander – MAŇKA, Ján – BARTKOVJAK, Jozef. Automatic apparatus for simultaneous measurement of resistance and inductance temperature transition dependences of superconductors. In Measurement Science Review, 2008, vol. 8, no. 6, p. 158-160. ISSN 1335-8871. https://doi.org/10.2478/v10048-008-0033-8

Citácie WOS: 1

1. [1.1] METSKHVARISHVILI, I.R. – MENELAOU, M. – LOBZHANIDZE, T.E. – DGEBUADZE, G.N. – SURMANIDZE, D.L. – BENDELIANI, B.G. – GABUNIA, V.M. – METSKHVARISHVILI, M.R. – JISHIASHVILI, D.A. Effect of Dy2O3 on the phase formation and electrical properties of Tl-1223 HTS. In LOW TEMPERATURE PHYSICS. ISSN 1063-777X, JAN 2025, vol. 51, no. 1, p. 55-59. https://doi.org/10.1063/10.0034645. WOS

 

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1. [1.1] ASKARZADEH, N. – SHOKROLLAHI, H. – KARIMI, L. Yttrium iron garnet: Dodecahedral substitutions. In RESULTS IN CHEMISTRY. ISSN 2211-7156, MAR 2025, vol. 14, art. no. 102061. https://doi.org/10.1016/j.rechem.2025.102061. WOS

 

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• RUBLÍK, František. Critical values for testing location-scale hypothesis. In Measurement Science Review, 2009, vol. 9, sec. 1, p. 9-15. ISSN 1335-8871. https://doi.org/10.2478/v10048-009-0004-8

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1. [1.1] OKORIE, D.I. A gentle reminder: Should returns be interpreted as log differences?. In INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS. ISSN 1057-5219, JAN 2025, vol. 97, art. no. 103864. https://doi.org/10.1016/j.irfa.2024.103864. WOS

 

• WIMMER, Gejza, ml. – WIMMER, G. Algorithm for gum-compliant uncertainty matrix in straight-line calibration. In Proceedings of the 14th International Conference on Measurement. 1. vyd. – Bratislava : Institute of Measurement Science, SAS, 2023, 2023, p. 23-26. ISBN 978-80-972629-7-6. https://doi.org/10.23919/MEASUREMENT59122.2023.10164309

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• WITKOVSKÝ, Viktor – WIMMER, G. – ĎURIŠOVÁ, Z. – ĎURIŠ, S. – PALENČÁR, R. Brief overview of methods for measurement uncertainty analysis: GUM uncertainty framework, Monte Carlo method, characteristic function approach. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 35-38. ISBN 978-80-972629-0-7. https://doi.org/10.23919/MEASUREMENT.2017.7983530

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3. [1.1] WENG, F. – TIAN, J. – FANG, X.X. – CHENG, S.D. – PAN, Z.Y. – LIU, Y. Research on establishment decision of medical equipment measurement standard based on GDM-AHP. In SCIENTIFIC REPORTS. ISSN 2045-2322, MAR 18 2025, vol. 15, no. 1, art. no. 9309. https://doi.org/10.1038/s41598-025-94546-5. WOS

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6. [1.1] ZHANG, L. – SHI, M.Y. – LIU, H. – XU, Y.T. – LIU, Z.M. – ZHU, Y. Subarcsec High-Precision 3-D Spatial State Measurement System for an Optical Platform Based on Wavefront Phase Modulation. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, 2025, vol. 74, art. no. 1004615. https://doi.org/10.1109/TIM.2025.3545843. WOS

7. [1.2] EREN, H. Calibrations: Artificial Intelligence and Applications. ISBN 978-103296807-0, 2025. https://doi.org/10.1201/9781003590767. SCOPUS

8. [3.1] BENCH, C. – DESAI, V. – MOULAEIFARD, M. – STRODTHOFF, N. – ASTON, P. – THOMPSON, A. Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks. In MACHINE LEARNING: HEALTH. ISSN 2025, vol. 1, no. 1, art. no. 015013. https://doi.org/10.1088/3049-477X/ae0b74

 

Vedecké práce v zahraničných recenzovaných vedeckých zborníkoch, monografiách

• GRENDÁR, Marián – GRENDÁR, M. MiniMax entropy and maximum likelihood: Complementarity of tasks, identity of solutions. In Bayesian Inference and Maximum Entropy Methods in Science and Engineering : 20th International Workshop. Editor A. Mohammad-Djafari. – Melville : American Institute of Physics, 2001, p. 49-60. ISBN 0-7354-0004-0.

Citácie WOS: 1

1. [1.1] ZHANG, X.H. – SUN, J. – SUN, J. On the stochastic fundamental diagram: A general micro-macroscopic traffic flow modeling framework. In COMMUNICATIONS IN TRANSPORTATION RESEARCH. ISSN 2772-4247, DEC 2025, vol. 5, art. no. 100163. https://doi.org/10.1016/j.commtr.2025.100163. WOS

 

• ROSIPAL, Roman – TREJO, L.J. – MATTHEWS, B. Kernel PLS-SVC for linear and nonlinear classification. In Twentieth International Conference on Machine Learning (ICML-2003). Editors T. Fawcett, N. Mishra. – 2003, p. 640-647. ISBN 0-1-57735-189-4.

Citácie WOS: 1

1. [1.1] NICARD, C. – REBILLAT, M. – DEVOS, O. – EL MAY, M. – LETELLIER, F. – DUBENT, S. – THOMACHOT, M. – FOURNIER, M. – MASSE, P. – MECHBAL, N. In-situ monitoring of μ m-sized electrochemically generated corrosion pits using Lamb waves managed by a sparse array of piezoelectric transducers. In ULTRASONICS. ISSN 0041-624X, MAR 2025, vol. 147, art. no. 107527. https://doi.org/10.1016/j.ultras.2024.107527. WOS

 

• WITKOVSKÝ, Viktor. Matlab algorithm TDIST: The distribution of a linear combination of Student‘;s t random variables. In COMPSTAT 2004 : Proceedings in Computational Statistics. Ed. Jaromír Antoch. – Physica-Verlag, 2004, p. 1995-2002. ISBN 3-7908-1554-3.

Citácie SCOPUS: 1

1. [1.2] ZAKHAROV, I.P. – BOTSIURA, O.A. – DIAKOV, D.I. Composition of t-distribution laws. In ADVANCED MATHEMATICAL AND COMPUTATIONAL TOOLS IN METROLOGY AND TESTING XIII. ISBN 978-981980067-4, 2024, p. 338-348. https://doi.org/10.1142/9789819800674_0031

 

Vedecké práce v domácich recenzovaných vedeckých zborníkoch, monografiách

• ANDRIS, Peter – WEIS, Ján – FROLLO, Ivan. Magnetic field of spiral-shaped coil. In MEASUREMENT 2009 : 7th International Conference on Measurement. Editors M. Tyšler, J. Maňka, V. Witkovský. – Bratislava : Institute of Measurement Science SAS, 2009, p. 262-265. ISBN 978-80-969672-1-6.

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2. [1.1] LIANG, J.Y. – DAVOODI, H. – CHAU-NGUYEN, K. – BADILITA, V. – KORVINK, J.G. Split spiral broadband double channel NMR detector facilitated by LTCC technology. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUN 20 2025, vol. 15, no. 1, art. no. 20162. https://doi.org/10.1038/s41598-025-05476-1. WOS

 

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• HOLLÄNDER, B. – ŠTOLC, Svorad – HUBER-MÖRK, R. Multi-view line-scan inspection system using planar mirrors. In Videometrics, Range Imaging, and Applications XII; and Automated Visual Inspection. Editors: Fabio Remondino, Mark R. Shortis, Jürgen Beyerer, Fernando Puente León. – SPIE, 2013. ISBN 9780819496072. ISSN 0277-786X. https://doi.org/10.1117/12.2019464

Citácie SCOPUS: 1

1. [1.2] LI, S. – WU, X. – LV, J. – ZHANG, W. Real-time defect detection of photovoltaic panels based on fiber optic chromatic confocal sensor. In PROCEEDINGS OF SPIE – THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. ISSN 0277-786X, 2025, vol. 13656, art. no. 1365613. https://doi.org/10.1117/12.3068443. SCOPUS

 

• KOREČKO, Š. – HUDÁK, M. – SOBOTA, B. – MARKO, M. – CIMROVÁ, B. – FARKAŠ, I. – ROSIPAL, Roman. Assessment and training of visuospatial cognitive functions in virtual reality: Proposal and perspective. In CogInfoCom : 9th IEEE International Conference on Cognitive InfoCommunications. – IEEE, 2018, p. 39-43. ISBN 978-1-5386-7094-1. https://doi.org/10.1109/CogInfoCom.2018.8639958

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• PŘIBIL, Jiří – PŘIBILOVÁ, A. – MATOUŠEK, J. GMM-based speaker gender and age classification after voice conversion. In First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016). – Aalborg : IEEE, 2016, p. 89-93. ISBN 978-1-4673-8916-7. https://doi.org/10.1109/SPLIM.2016.7528391

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• MAJEROVÁ, Melinda – PRNOVÁ, A. – ŠKRÁTEK, Martin – KLEMENT, R. – MICHÁLKOVÁ, M. – GALUSEK, D. – BRUNEEL, E. – VAN DRIESSCHE, I. Magnetic properties of yttrium iron garnet polycrystalline material prepared by spray-drying synthesis. In MEASUREMENT 2015 : 10th International Conference on Measurement. Editors J. Maňka, M. Tyšler, V. Witkovský, I. Frollo. – Bratislava : Institute of Measurement Science, SAS, 2015, p. 285-288. ISBN 978-80-969672-9-2.

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1. [1.1] ASKARZADEH, N. – SHOKROLLAHI, H. Yttrium iron garnets: Phase study and synthesis methods. In PROGRESS IN SOLID STATE CHEMISTRY. ISSN 0079-6786, MAR 2025, vol. 77. https://doi.org/10.1016/j.progsolidstchem.2024.100507. WOS

 

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• KRAKOVSKÁ, Hana – KRAKOVSKÁ, Anna. Fractal dimension of self-affine signals: Four methods of estimation. In arXiv:1611.06190v1[math.DS], 2016, p. 1-8.

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• WITKOVSKÝ, Viktor. ToleranceFactor (version 2.0.0.1). In MathWorks / Matlab Central, 2020, https://www.mathworks.com/matlabcentral/fileexchange/24135-tolerancefactor.

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• WITKOVSKÝ, Viktor – WIMMER, G. – DUBY, T. Computing the aggregate loss distribution based on numerical inversion of the compound empirical characteristic function of frequency and severity. In arXiv:1701.08299 [stat.CO], 2017, 12 p. https://doi.org/10.48550/arXiv.1701.08299

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• WITKOVSKÝ, Viktor. CharFunTool: The characteristic functions toolbox (version 1.4.0). In MathWorks / Matlab Central, 2020, https://github.com/witkovsky/CharFunTool.

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