Citations 2023

Scientific monographs

 

  • 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

WOS citations: 1; SCOPUS citations: 1; other citations: 1

1. [1.1] AWAN, A.N. – KHALID, R. – JAVED, A. – SHAH, M.R. – ALI, S.A. Anti-Hepatitis C Virus (HCV) and Cytotoxic Activity of Sofosbuvir Decorated Dextran Stabilized Silver Nanoparticles. In PLASMONICS. ISSN 1557-1955, JUN 2023, vol. 18, no. 3, p. 1181-1193. https://doi.org/10.1007/s11468-023-01817-w., WOS

2. [1.2] DUTTA, U. – GOSWAMI, M.J. – KAKATI, D. Environmentally benign synthesis of bioconjugated materials. In COMPREHENSIVE ANALYTICAL CHEMISTRY, 2023, vol. 102, p. 93-121. ISSN 0166-526X. https://doi.org/10.1016/bs.coac.2023.02.008., SCOPUS

3. [3.1] PALEM, V.V. – PARAMASIVAM, G. – DEY, N. – ANANTHAN, A.S. Processes of Synthesis and Characterization of Silver Nanoparticles with Antimicrobial Action and their Future Prospective. In MATERIALS RESEARCH PROCEEDINGS, 2023, vol. 145, p. 131-161. https://doi.org/10.21741/9781644902370-5.

 

  • 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

WOS citations: 1

1. [1.1] PEREZ-BEJARANO, J.V. – FAJARDO-ROJAS, F. – ALVAREZ, O. – BURGOS, J.C. – REYES, L.H. – PRADILLA, D. Novel biosurfactants: Rationally designed surface-active peptides and in silico evaluation at the decane-water interface. In PROCESS BIOCHEMISTRY. ISSN 1359-5113, FEB 2023, vol. 125, p. 84-95. https://doi.org/10.1016/j.procbio.2022.11.012., WOS

 

Monographic studies in journals and proceedings

 

  • 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

WOS citations: 2

1. [1.1] JADHAV, S.T. – SALUNKHE, V.R. – BHINGE, S.D. Nanoemulsion drug delivery system loaded with imiquimod: a QbD-based strategy for augmenting anti-cancer effects. In FUTURE JOURNAL OF PHARMACEUTICAL SCIENCES. ISSN 2314-7245, DEC 20 2023, vol. 9, no. 1. https://doi.org/10.1186/s43094-023-00568-z., WOS

2. [1.1] AYE, K.C. – ROJANARATA, T. – NGAWHIRUNPAT, T. – OPANASOPIT, P. – PORNPITCHANARONG, C. – PATROJANASOPHON, P. Development and optimization of curcumin-nanosuspensions with improved wound healing effect. In JOURNAL OF DRUG DELIVERY SCIENCE AND TECHNOLOGY. ISSN 1773-2247, NOV 2023, vol. 89. https://doi.org/10.1016/j.jddst.2023.104997., WOS

 

Chapters in scientific monographs

 

  • DURMEKOVÁ, T. – RUŽIČKA, P. – HAIN, Miroslav – ČAPLOVIČOVÁ, M. Changes in marble quality after sodium sulphate crystallization and long-lasting freeze-thaw testing. In Engineering Geology for Society and Territory – Volume 5 : Urban Geology, Sustainable Planning and Landscape Exploitation. – Springer, 2015, p. 237-241. ISBN 978-3-319-09047-4. https://doi.org/10.1007/978-3-319-09048-1_46

WOS citations: 1

1. [1.1] VALIDO, J.A. – CÁCERES, J.M. – SOUSA, L. A characterisation study of ignimbrites of Tenerife Island employed as building stone. In ENVIRONMENTAL EARTH SCIENCES. ISSN 1866-6280, JUN 2023, vol. 82, no. 11. https://doi.org/10.1007/s12665-023-10957-5., 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

WOS citations: 1; SCOPUS citations: 1

1. [1.1] DUBAYLE, D. – VANDEN-BOSSCHE, A. – PEIXOTO, T. – JEAN-LUC, M. Hypergravity Increases Blood-Brain Barrier Permeability to Fluorescent Dextran and Antisense Oligonucleotide in Mice. In CELLS. MAR 2023, vol. 12, no. 5. https://doi.org/10.3390/cells12050734., WOS

2. [1.2] MOROZ, G.A. – KRIVENTSOV, M.A. – KUTIA, S.A. Effect Of Systematic Gravitational Overloads On Structural Organization Of The Adrenals And Thymus In An Experiment. In AVIAKOSMICHESKAYA I EKOLOGICHESKAYA MEDITSINA, 2023, vol. 57, no. 4, p. 78-86. ISSN 0233-528X. https://doi.org/10.21687/0233-528X-2023-57-4-78-86., SCOPUS

 

  • PŘIBIL, Jiří – PŘIBILOVÁ, A. Microintonation analysis of emotional speech. In Development of Multimodal Interfaces : Active Listening and Synchrony. – Berlin : Springer-Verlag, 2010, lNCS 5967, p. 268-279. ISBN 978-3-642-12396-2. https://doi.org/10.1007/978-3-642-12397-9-22

Other citations: 1

1. [3.1] GARCIA, M.N.D. Speech and participants in communicative interaction: when the interlocutor is artificial. In BIBLIOTECA DE BABEL: REVISTA DE FILOLOGÍA HISPÁNICA. ISSN 2695-6349, 2023, vol. 1, p. 409–431. https://doi.org/10.15366/bibliotecababel2023.extra1.017.

 

  • PŘIBIL, Jiří – PŘIBILOVÁ, A. – FROLLO, Ivan. Analysis of energy relations between noise and vibration produced by a low-field MRI device. In Noise and Vibration Control : From Theory to Practice. – IntechOpen, 2019, p. 89-110. ISBN 978-1-78984-771-0. https://doi.org/10.5772/intechopen.85275

WOS citations: 1

1. [1.1] COUNSELLER, Q. – ABOELKASSEM, Y. Recent technologies in cardiac imaging. In FRONTIERS IN MEDICAL TECHNOLOGY. JAN 10 2023, vol. 4. https://doi.org/10.3389/fmedt.2022.984492., 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

WOS citations: 5; SCOPUS citations: 1; other citations: 4

1. [1.1] NIE, B. – DU, Y.W. – DU, J.Q. – RAO, Y. – ZHANG, Y.C. – ZHENG, X.P. – YE, N.H. – JIN, H.K. A novel regression method: Partial least distance square regression methodology. In CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. ISSN 0169-7439, JUN 15 2023, vol. 237. https://doi.org/10.1016/j.chemolab.2023.104827., WOS

2. [1.1] WANG, P.W. – MENDES, I. – FRANIC, R. Investigating the Relationship between Aquaculture Investments, Training, and Environmental Factors in Guangdong: An Alternative Perspective. In FISHES. MAY 1 2023, vol. 8, no. 5. https://doi.org/10.3390/fishes8050237., WOS

3. [1.1] YEO, W.S. – SAPTORO, A. – KUMAR, P. – KANO, M. Just-in-time based soft sensors for process industries: A status report and recommendations. In JOURNAL OF PROCESS CONTROL. ISSN 0959-1524, AUG 2023, vol. 128. https://doi.org/10.1016/j.jprocont.2023.103025., WOS

4. [1.1] KHATAMI, S. – FRANTZ, C. Copatrec: A correlation pattern recognizer Python package for nonlinear relations. In SOFTWAREX. ISSN 2352-7110, JUL 2023, vol. 23. https://doi.org/10.1016/j.softx.2023.101456., WOS

5. [1.1] CHEN, H.R. – WANG, J.F. – TAO, H.W. – LI, Z.H. – WANG, Y.Y. Parameter-free nonlinear partial least squares regression model for image classification. In JOURNAL OF ELECTRONIC IMAGING. ISSN 1017-9909, NOV 1 2023, vol. 32, no. 6. https://doi.org/10.1117/1.JEI.32.6.063024., WOS

6. [1.2] CAO, J.J. – NIE, Z.B. – ZHENG, Q.B. – LÜ, G.J. – ZENG, Z.X. Survey on Cross-modal Data Entity Resolution. In RUAN JIAN XUE BAO/JOURNAL OF SOFTWARE, 2023, vol. 34, no. 12, p. 5822-5847. ISSN 1000-9825. https://doi.org/10.13328/j.cnki.jos.006764., SCOPUS

7. [3.1] MUFTI, B. – PERRON, C. – GAUTIER, R. – MAVRIS, D.N. Design Space Reduction using Multi-Fidelity Model-Based Active Subspaces. In AIAA AVIATION 2023 FORUM, 2023. https://doi.org/10.2514/6.2023-3592.

8. [3.1] LI, W. – SHAO, Y. – WANG, Y. – WANG, S. – BAI, X. – LI, D. IDLL: Inverse Depth Line based Visual Localization in Challenging Environments. In arXiv, 2023, https://doi.org/10.48550/arXiv.2304.11748.

9. [3.1] TRINDADE, T.M.L.S., COLARES, C.J.G., DE SOUZA, N.L.G.D. Detection and characterization of adulterants in baru and soursop oils. In FOOD SCIENCE AND TECHNOLOGY. ISSN 1678-457X, 2023, vol. 43. https://doi.org/10.5327/fst.122722.

10. [3.1] ZHONG, R. – WANG, D. – ZHANG, J. Kernel partial least squares regression for functional nonlinear models. In arXiv, 2023, https://doi.org/10.48550/arXiv.2301.05998.

 

Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted)

 

  • 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

WOS citations: 6; SCOPUS citations: 1

1. [1.1] IMAMURA, R. – TERAMOTO, A. – MURAHASHI, Y. – OKADA, Y. – OKIMURA, S. – AKATSUKA, Y. – WATANABE, K. – YAMASHITA, T. Ultra-Short Echo Time-MRI T2*Mapping of Articular Cartilage Layers Is Associated with Histological Early Degeneration. In CARTILAGE. ISSN 1947-6035, 2023 OCT 16 2023. https://doi.org/10.1177/19476035231205685., WOS

2. [1.1] ZAGARIA, D. – COSTANTINI, P. – PERCIVALE, I. – ABRUZZESE, F. – GHILARDI, G. – LANDRINO, M. – PORTA, M. – LEIGHEB, M. – CARRIERO, A. Early patello-femoral condropathy assessment through quantitative analyses via T2 mapping magnetic resonance after anterior cruciate ligament reconstruction. In RADIOLOGIA MEDICA. ISSN 0033-8362, NOV 2023, vol. 128, no. 11, p. 1415-1422. https://doi.org/10.1007/s11547-023-01716-4., WOS

3. [1.1] CAROL, H.A. – CHAUVIN, N.A. – WEISS, P.F. Imaging in pediatric spondyloarthritis. In CURRENT OPINION IN RHEUMATOLOGY. ISSN 1040-8711, JUL 2023, vol. 35, no. 4, p. 226-234. https://doi.org/10.1097/BOR.0000000000000942., WOS

4. [1.1] LESKINEN, H.P.P. – HAENNINEN, N.E. – NISSI, M.J. T2 orientation anisotropy mapping of articular cartilage using qMRI. In PHYSICS IN MEDICINE AND BIOLOGY. ISSN 0031-9155, APR 21 2023, vol. 68, no. 8. https://doi.org/10.1088/1361-6560/acc169., WOS

5. [1.1] KÜPPER, J.C. – KLINE, A. – FELFELIYAN, B. – JAREMKO, J. – RONSKY, J.L. Comparison of Dynamic Knee Contact Mechanics with T2 Imaging in Different Ages of Healthy Participants. In ANNALS OF BIOMEDICAL ENGINEERING. ISSN 0090-6964, NOV 2023, vol. 51, no. 11, p. 2465-2478. https://doi.org/10.1007/s10439-023-03277-z., WOS

6. [1.1] MARTEL-PELLETIER, J. – PAIEMENT, P. – PELLETIER, J.P. Magnetic resonance imaging assessments for knee segmentation and their use in combination with machine/deep learning as predictors of early osteoarthritis diagnosis and prognosis. In THERAPEUTIC ADVANCES IN MUSCULOSKELETAL DISEASE. ISSN 1759-720X, 2023, vol. 15. https://doi.org/10.1177/1759720X231165560., WOS

7. [1.2] ZHAOYANG, W. – WENFEI, G. – YIMING, S. – YICHUAN, G. – XUESHAN, X. – BINGJIE, L. – MINGSHENG, Z. Clinical evaluation of platelet-rich plasma in the treatment of early and middle stage knee osteoarthritis under 3.0T MRI T2 mapping sequence. In ZHONGHUA WAI KE ZA ZHI / CHINESE JOURNAL OF SURGERY, 2023, vol. 61, no. 2, p. 138-144. ISSN 0529-5815. https://doi.org/10.3760/cma.j.cn112139-20220703-00296., SCOPUS

 

  • 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

WOS citations: 3

1. [1.1] LINK, T.M. – JOSEPH, G.B. – LI, X.J. MRI-based T1rho and T2 cartilage compositional imaging in osteoarthritis: what have we learned and what is needed to apply it clinically and in a trial setting?. In SKELETAL RADIOLOGY. ISSN 0364-2348, NOV 2023, vol. 52, no. 11, SI, p. 2137-2147. https://doi.org/10.1007/s00256-023-04310-x., WOS

2. [1.1] FARROW, L.D. – ELIAS, J.J. – LI, M. – YANG, M.R. – LARTEY, R. – HRON, A.J. – WINALSKI, C.S. – LI, X.J. Patellar Dislocation in Adolescent Patients: Influence on Cartilage Properties Based on T1ρ Relaxation Times. In AMERICAN JOURNAL OF SPORTS MEDICINE. ISSN 0363-5465, DEC 2023, vol. 51, no. 14, p. 3714-3723. https://doi.org/10.1177/03635465231205562., WOS

3. [1.1] SCHRENKER, S. – CUCCHIARINI, M. – GOEBEL, L. – OLáH, T. – VENKATESAN, J.K. – SCHMITT, G. – SPEICHER-MENTGES, S. – MAIHöFER, J. – GAO, L. – ZURAKOWSKI, D. – MENGER, M.D. – LASCHKE, M.W. – MADRY, H. In vivo rAAV-mediated human TGF-β overexpression reduces perifocal osteoarthritis and improves osteochondral repair in a large animal model at one year. In OSTEOARTHRITIS AND CARTILAGE. ISSN 1063-4584, APR 2023, vol. 31, no. 4, p. 467-481. https://doi.org/10.1016/j.joca.2022.11.010., 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

WOS citations: 6

1. [1.1] WAWRZYNIAK, P. – HEBDA, A. – AWRAMIENKO-WLOCZEK, A. – MAZGAJ, P. – HEINZE, S. – BOBEK-BILLEWICZ, B. Assessment of sodium (23Na) brain MRI at 3T-preliminary results. In POLISH JOURNAL OF RADIOLOGY. ISSN 0137-7183, JUL 28 2023, vol. 88, p. E343-E348. https://doi.org/10.5114/pjr.2023.130252., WOS

2. [1.1] SCHREIBER, L.M. – LOHR, D. – BALTES, S. – VOGEL, U. – ELABYAD, I.A. – BILLE, M. – REITER, T. – KOSMALA, A. – GASSENMAIER, T. – STEFANESCU, M.R. – KOLLMANN, A. – AURES, J. – SCHNITTER, F. – PALI, M. – UEDA, Y. – WILLIAMS, T. – CHRISTA, M. – HOFMANN, U. – BAUER, W. – GERULL, B. – ZERNECKE, A. – ERGüN, S. – TEREKHOV, M. Ultra-high field cardiac MRI in large animals and humans for translational cardiovascular research. In FRONTIERS IN CARDIOVASCULAR MEDICINE. ISSN 2297-055X, MAY 15 2023, vol. 10. https://doi.org/10.3389/fcvm.2023.1068390., WOS

3. [1.1] SCHMIDT, R. – KEBAN, E. – BOLLMANN, S. – WIGGINS, C.J. – NIENDORF, T. Scaling the mountains: what lies above 7 Tesla magnetic resonance?. In MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE. ISSN 1352-8661, 2023 APR 2023, vol. 36, no. 2, SI, p. 151-157. https://doi.org/10.1007/s10334-023-01087-x., WOS

4. [1.1] JENNINGS, M.L. Role of transporters in regulating mammalian intracellular inorganic phosphate. In FRONTIERS IN PHARMACOLOGY. MAR 30 2023, vol. 14. https://doi.org/10.3389/fphar.2023.1163442., WOS

5. [1.1] GUPTA, A. Cardiac SUP31/SUPP MR spectroscopy: development of the past five decades and future vision-will it be of diagnostic use in clinics?. In HEART FAILURE REVIEWS. ISSN 1382-4147, 2023 MAR 2023, vol. 28, no. 2, SI, p. 485-532. https://doi.org/10.1007/s10741-022-10287-x., WOS

6. [1.1] NURZED, B. – KUEHNE, A. – AIGNER, C.S. – SCHMITTER, S. – NIENDORF, T. – EIGENTLER, T.W. Radiofrequency antenna concepts for human cardiac MR at 14.0 T. In MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE. ISSN 1352-8661, 2023 APR 2023, vol. 36, no. 2, SI, p. 257-277. https://doi.org/10.1007/s10334-023-01075-1., 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

WOS citations: 1

1. [1.1] HAYIROGLU, M.I. – CINAR, T. – CINIER, G. – YUKSEL, G. – AYAN, G. – PAY, L. – COSKUN, C. – KESKIN, K. – CITEK, V. – TEKKESIN, A.I. Left Ventricular Mass Index Predicts Pacemaker-Induced Cardiomyopathy in Patients with Dual Chamber Permanent Pacemakers Implanted Due to Complete Atrioventricular Block. In ACTA CARDIOLOGICA SINICA. ISSN 1011-6842, MAY 2023, vol. 39, no. 3, p. 416-423., WOS

 

  • BALÁŽ, P. – ACHIMOVIČOVÁ, M. – BALÁŽ, M. – BILLIK, Peter – CHERKEZOVA-ZHELEVA, Z. – CRAIDO, J.M. – DELOGU, F. – DUTKOVÁ, E. – GAFFET, E. – GOTOR, F.J. – KUMAR, R. – MITOV, I. – ROJAC, T. – SENNA, M. – STRELETSKII, A. – WIECZOREK-CIUROWA, K. Hallmarks of mechanochemistry: From nanoparticles to technology. In Chemical Society Reviews, 2013, vol. 42, p. 7571-7637. (2012: 24.892 – IF, Q1 – JCR, 15.022 – SJR, Q1 – SJR). ISSN 0306-0012. https://doi.org/10.1039/c3cs35468g

WOS citations: 74; SCOPUS citations: 17; other citations: 8

1. [1.1] WANG, W.F. – PENG, Y.Q. Mechanochemical organic synthesis in a rotary evaporator beyond conventional application: Proof-of-concept reactions. In SYNTHETIC COMMUNICATIONS. ISSN 0039-7911, MAY 3 2023, vol. 53, no. 9, p. 625-639. https://doi.org/10.1080/00397911.2023.2188463., WOS

2. [1.1] QIU, R.S. – WANG, W. – WANG, Z. – WANG, H.W. Advancement of modification engineering in lean methane combustion catalysts based on defect chemistry. In CATALYSIS SCIENCE & TECHNOLOGY. ISSN 2044-4753, APR 24 2023, vol. 13, no. 8, p. 2566-2584. https://doi.org/10.1039/d3cy00087g., WOS

3. [1.1] BILISKOV, N. – MILANOVIC, I. – MILOVIC, M. – TAKáTS, V. – ERDéLYI, Z. Ammonia borane assisted mechanochemical boost of electrochemical performance of basal planes of MoS2-type materials. In JOURNAL OF ALLOYS AND COMPOUNDS. ISSN 0925-8388, JUN 5 2023, vol. 945. https://doi.org/10.1016/j.jallcom.2023.169293., WOS

4. [1.1] HONG, J. – MUTALIK, S. – MIOLA, M. – GERLACH, D. – MEHRABI, K.R. – AHMADI, M. – KOOI, B.J. – PORTALE, G. – RUDOLF, P. – PESCARMONA, P.P. – PROTESESCU, L. Nickel Boride (NiXB) Nanocrystals: From Solid-State Synthesis to Highly Colloidally Stable Inks. In CHEMISTRY OF MATERIALS. ISSN 0897-4756, 2023 FEB 10 2023. https://doi.org/10.1021/acs.chemmater.2c03478., WOS

5. [1.1] ROSU-FINSEN, A. – DAVIES, M.B. – AMON, A. – WU, H. – SELLA, A. – MICHAELIDES, A. – SALZMANN, C.G. Medium-density amorphous ice. In SCIENCE. ISSN 0036-8075, FEB 3 2023, vol. 379, no. 6631, p. 474-478. https://doi.org/10.1126/science.abq2105., WOS

6. [1.1] ZHANG, X.Z. – LU, Q. – YAN, Y.J. – ZHANG, T.T. – LIU, S.J. – CAI, M.R. – YE, Q. – ZHOU, F. – LIU, W.M. Tribochemical synthesis of functionalized covalent organic frameworks for anti-wear and friction reduction. In FRICTION. ISSN 2223-7690, OCT 2023, vol. 11, no. 10, p. 1804-1814. https://doi.org/10.1007/s40544-022-0696-4., WOS

7. [1.1] LEJDA, K. – JANIK, J.F. – PERZANOWSKI, M. – STELMAKH, S. – PALOSZ, B. Oxygen Aspects in the High-Pressure and High-Temperature Sintering of Semiconductor Kesterite Cusub2/subZnSnSsub4/sub Nanopowders Prepared by a Mechanochemically-Assisted Synthesis Method. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. FEB 2023, vol. 24, no. 4. https://doi.org/10.3390/ijms24043159., WOS

8. [1.1] MUREDDU, M. – BARTOLOMé, J.F. – LOPEZ-ESTEBAN, S. – DORE, M. – ENZO, S. – GARCíA, A. – GARRONI, S. – PARDO, L. Solid State Processing of BCZT Piezoceramics Using Ultra Low Synthesis and Sintering Temperatures. In MATERIALS. FEB 2023, vol. 16, no. 3. https://doi.org/10.3390/ma16030945., WOS

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  • ZBÝŇ, Š. – STELZENEDER, D. – WELSCH, G.H. – NEGRIN, L.L. – JURÁŠ, Vladimír – MAYERHOEFER, M.E. – SZOMOLÁNYI, Pavol – BOGNER, W. – DOMAYER, S. – WEBER, M. – TRATTNIG, S. Evaluation of native hyaline cartilage and repair tissue after two cartilage repair surgery techniques with 23Na MR imaging at 7 T: Initial experience. In Osteoarthritis and Cartilage, 2012, vol. 20, p. 837-845. (2011: 3.904 – IF, Q1 – JCR, 2.035 – SJR, Q1 – SJR). ISSN 1063-4584. https://doi.org/10.1016/j.joca.2012.04.020

WOS citations: 1; SCOPUS citations: 2

1. [1.2] LINEHAM, B. – WIJAYATHUNGA, H. – MORAN, E. – SHUWEIHDI, F. – GUPTA, H. – PANDIT, H. – WIJAYATHUNGA, N. A systematic review demonstrating correlation of MRI compositional parameters with clinical outcomes following articular cartilage repair interventions in the knee. In OSTEOARTHRITIS AND CARTILAGE OPEN, 2023, vol. 5, no. 3. https://doi.org/10.1016/j.ocarto.2023.100388., SCOPUS
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  • ZBÝŇ, Š. – BRIX, M.O. – JURÁŠ, Vladimír – DOMAYER, S. – WALZER, S.M. – MLYNÁRIK, V. – APPRICH, S. – BUCKENMAIER, K. – WINDHAGER, R. – TRATTNIG, S. Sodium magnetic resonance imaging of ankle joint in cadaver specimens, volunteers, and patients after different cartilage repair techniques at 7 T : Initial results. In Investigative Radiology, 2015, vol. 50, no. 4, p. 246-254. (2014: 4.437 – IF, Q1 – JCR, 2.982 – SJR, Q1 – SJR). ISSN 0020-9996. https://doi.org/10.1097/RLI.0000000000000117

WOS citations: 1; SCOPUS citations: 1

1. [1.1] GAST, L.V. – PLATT, T. – NAGEL, A.M. – GERHALTER, T. Recent technical developments and clinical research applications of sodium (23Na) MRI. In PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY. ISSN 0079-6565, NOV-DEC 2023, vol. 138-139, p. 1-51. https://doi.org/10.1016/j.pnmrs.2023.04.002., WOS

2. [1.2] LI, L. – ZHAO, J. – QI, S. – LI, D. AIDS-Related Musculoskeletal Diseases. In RADIOLOGY OF INFECTIOUS AND INFLAMMATORY DISEASES – VOLUME 5. ISBN 978-981165003-1, 2022, p. 217-233. https://doi.org/10.1007/978-981-16-5003-1_7., SCOPUS

 

  • ZBÝŇ, Š. – MLYNÁRIK, V. – JURÁŠ, VladimírSZOMOLÁNYI, 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

WOS citations: 2; SCOPUS citations: 2

1. [1.1] ZHANG, Q. – GUO, J.J. Author Reply to “The Importance of Synovial Cytokine Assessment in the Course of Open-Wedge High Tibial Osteotomy Associated With PostTreatments Using Biologics in Patients With Knee Osteoarthritis”. In ARTHROSCOPY-THE JOURNAL OF ARTHROSCOPIC AND RELATED SURGERY. ISSN 0749-8063, SEP 2023, vol. 39, no. 9, p. 1960-1961. https://doi.org/10.1016/j.arthro.2023.06.005., WOS

2. [1.1] GAST, L.V. – PLATT, T. – NAGEL, A.M. – GERHALTER, T. Recent technical developments and clinical research applications of sodium (23Na) MRI. In PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY. ISSN 0079-6565, NOV-DEC 2023, vol. 138-139, p. 1-51. https://doi.org/10.1016/j.pnmrs.2023.04.002., WOS

3. [1.2] YANG, H. – DIN, R.U. 3D geometric analysis of the knee with magnetic resonance imaging. In CARTILAGE TISSUE AND KNEE JOINT BIOMECHANICS: FUNDAMENTALS, CHARACTERIZATION AND MODELLING. ISBN 9780323905978, 2023, p. 201. https://doi.org/10.1016/B978-0-323-90597-8.00024-4., SCOPUS

4. [1.2] LI, L. – ZHAO, J. – QI, S. – LI, D. AIDS-Related Musculoskeletal Diseases. In RADIOLOGY OF INFECTIOUS AND INFLAMMATORY DISEASES – VOLUME 5. ISBN 978-981165003-1, 2022, p. 217-233. https://doi.org/10.1007/978-981-16-5003-1_7., SCOPUS

 

  • ZBÝŇ, Š. – SCHREINER, M. – JURÁŠ, Vladimír – MLYNÁRIK, V. – SZOMOLÁNYI, Pavol – LAURENT, D. – SCOTTI, C. – HABER, H. – DELIGIANNI, X. – BIERI, O. – NIEMINEN, M.T. – TRATTNIG, S. Assessment of low-grade focal cartilage lesions in the knee with sodium MRI at 7 T: Reproducibility and short-term, 6-month follow-up data. In Investigative Radiology, 2020, vol. 55, no. 7, p. 430-437. (2019: 5.156 – IF, Q1 – JCR, 2.564 – SJR, Q1 – SJR). ISSN 0020-9996. https://doi.org/10.1097/RLI.0000000000000652

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1. [1.1] RUBIN, E.B. – SCHMIDT, A.M. – KOFF, M.F. – KOGAN, F. – GAO, K. – MAJUMDAR, S. – POTTER, H. – GOLD, G.E. Advanced MRI Approaches for Evaluating Common Lower Extremity Injuries in Basketball Players: Current and Emerging Techniques. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, 2023 OCT 18 2023. https://doi.org/10.1002/jmri.29019., WOS

2. [1.1] KIJOWSKI, R. – FRITZ, J. Emerging Technology in Musculoskeletal MRI and CT. In RADIOLOGY. ISSN 0033-8419, JAN 2023, vol. 306, no. 1, p. 6-19. https://doi.org/10.1148/radiol.220634., WOS

3. [1.1] GAST, L.V. – PLATT, T. – NAGEL, A.M. – GERHALTER, T. Recent technical developments and clinical research applications of sodium (23Na) MRI. In PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY. ISSN 0079-6565, NOV-DEC 2023, vol. 138-139, p. 1-51. https://doi.org/10.1016/j.pnmrs.2023.04.002., WOS

4. [1.1] PAZAHR, S. – NANZ, D. – SUTTER, R. 7 T Musculoskeletal MRI Fundamentals and Clinical Implementation. In INVESTIGATIVE RADIOLOGY. ISSN 0020-9996, JAN 2023, vol. 58, no. 1, p. 88-98. https://doi.org/10.1097/RLI.0000000000000896., WOS

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6. [3.1] AGING BIOMARKER CONSORTIUM. A framework of biomarkers for skeletal aging: a consensus statement by the Aging Biomarker Consortium. In LIFE MEDICINE. ISSN 2755-1733, 2023, vol. 2, no. 6. https://doi.org/10.1093/lifemedi/lnad045.

 

Scientific papers in domestic journals registered in Current Contents Connect with IF (impacted)

 

  • GOGOLA, DanielSZOMOLÁNYI, PavolŠKRÁTEK, MartinFROLLO, Ivan. Design and construction of novel instrumentation for low-field MR tomography. In Measurement Science Review, 2018, vol. 18, no. 3, p. 107-112. (2017: 1.345 – IF, Q3 – JCR, 0.441 – SJR, Q2 – SJR). ISSN 1335-8871. https://doi.org/10.1515/msr-2018-0016

WOS citations: 2

1. [1.1] GIOVANNETTI, G. – FLORI, A. – FRIJIA, F. Conductor Losses in Radiofrequency Coils for Magnetic Resonance below 3T: Estimation Methods and Minimization Strategies. In SENSORS. JUN 2023, vol. 23, no. 12. https://doi.org/10.3390/s23125586., WOS

2. [1.1] PERRON, S. – OURIADOV, A. Hyperpolarized 129Xe MRI at low field: Current status and future directions. In JOURNAL OF MAGNETIC RESONANCE. ISSN 1090-7807, MAR 2023, vol. 348. https://doi.org/10.1016/j.jmr.2023.107387., WOS

 

  • CHVOSTEKOVÁ, Martina. Multiple use confidence intervals for a univariate statistical calibration. In Measurement Science Review, 2019, vol. 19, no. 6, p. 264-270. (2018: 1.122 – IF, Q4 – JCR, 0.325 – SJR, Q2 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2019-0034

WOS citations: 1; SCOPUS citations: 1

1. [1.2] NATALINOVA, N. – NIZKII, S. – VLADISLAV, A. Control Method for Calibration Interval Adjustment of Speed Meters Based on the Statistical Analysis of Previous Calibrations Data. In STUDIES IN SYSTEMS, DECISION AND CONTROL. ISSN 2198-4182, 2023, vol. 433, p. 19-28., SCOPUS

2. [1.1] HAN, Y. – SUN, Y.J. – WANG, L.J. – LIU, W. – BRETZ, F. Statistical calibration for infinite many future values in linear regression: simultaneous or pointwise tolerance intervals or what else?. In JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS. ISSN 0035-9254, MAR 6 2023, vol. 72, no. 1, p. 37-47. https://doi.org/10.1093/jrsssc/qlac004., WOS

 

  • ROŠŤÁKOVÁ, ZuzanaROSIPAL, RomanSEIFPOUR, 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

WOS citations: 2; other citations:1

1. [1.1] GUPTA, T. – WAGH, N. – RAWAL, S. – BERRY, B. – WORRELL, G. – VARATHARAJAH, Y. Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. In 11TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING, 2023. https://doi.org/10.1109/NER52421.2023.10123800., WOS

2. [1.1] TAGHIBEYGLOU, B. – SHAMSOLLAHI, M.B. ETucker: a constrained tensor decomposition for single trial ERP extraction. In PHYSIOLOGICAL MEASUREMENT, ISSN 0967-3334, 2023, vol. 44, no. 7. https://doi.org/10.1088/1361-6579/ace510., WOS

3. [3.1] SATHISHKUMAR, R. – DHIVYASRI, R. – JOTHIKA, P. – SURYA, G. Detection and Classification of Neuro-degenerative Disease via EfficientNetB7. In RESEARCH SQUARE, 2023, https://doi.org/10.21203/rs.3.rs-2944070/v1.

 

  • ŠVEHLÍKOVÁ, JanaPŘIBILOVÁ, AnnaZELINKA, JánONDRUŠOVÁ, 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. 5, p. 202-208. (2021: 1.697 – IF, Q3 – JCR, 0.376 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2022-0031

WOS citations: 1

1. [1.1] BEAR, L.R. – BERGQUIST, J.A. – ABELL, E. – COCHET, H. – MACLEOD, R.S. – DUBOIS, R. – SERINAGAOGLU, Y. Investigation into the importance of using natural PVCs and pathological models for potential-based ECGI validation. In FRONTIERS IN PHYSIOLOGY. MAY 18 2023, vol. 14. https://doi.org/10.3389/fphys.2023.1198002., WOS

 

  • 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

WOS citations: 2

1. [1.1] KOVÁCOVÁ, Z. – MAJTANÍK, M. – QUICKE, D.L.J. Possibly Oxfordian (Upper Jurassic) cockroach assemblage (Insecta: Blattaria) from the Phra Wihan Formation in Thailand. In BIOLOGIA. ISSN 0006-3088, JUN 2023, vol. 78, no. 6, SI, p. 1433-1446. http://dx.doi.org/10.1007/s11756-022-01294-2., WOS

2. [1.1] KOVÁCOVÁ, Z. New cockroach (Insecta: Blattaria) from North Myanmar amber. In BIOLOGIA. ISSN 0006-3088, JUN 2023, vol. 78, no. 6, SI, p. 1679-1693. https://doi.org/10.1007/s11756-022-01295-1., WOS

 

  • 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

WOS citations: 4

1. [1.1] KOVÁCOVÁ, Z. – MAJTANÍK, M. – QUICKE, D.L.J. Possibly Oxfordian (Upper Jurassic) cockroach assemblage (Insecta: Blattaria) from the Phra Wihan Formation in Thailand. In BIOLOGIA. ISSN 0006-3088, JUN 2023, vol. 78, no. 6, SI, p. 1433-1446. http://dx.doi.org/10.1007/s11756-022-01294-2., WOS

2. [1.1] KOVÁCOVÁ, Z. New cockroach (Insecta: Blattaria) from North Myanmar amber. In BIOLOGIA. ISSN 0006-3088, JUN 2023, vol. 78, no. 6, SI, p. 1679-1693. https://doi.org/10.1007/s11756-022-01295-1., WOS

3. [1.1] RASNITSYN, A.P. – STOROZHENKO, S.Y. To memory of Daniil Sergeevich Aristov (1979-2022): biography and list of publications. In PALAEOENTOMOLOGY. ISSN 2624-2826, APR 2023, vol. 6, no. 2, p. 104-116. https://doi.org/10.11646/palaeoentomology.6.2.1., WOS

4. [1.1] NEL, A. – GARROUSTE, R. – JOUAULT, C. New insects (Paoliida, Dictyoptera) from the Carboniferous outcrop of Tante Victoire in Var, France. In ALCHERINGA. ISSN 0311-5518, JUL 3 2023, vol. 47, no. 3, p. 305-314. http://dx.doi.org/10.1080/03115518.2023.2258977., WOS

 

  • WITKOVSKÝ, ViktorFROLLO, 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

WOS citations: 1

1. [1.1] MAJUMDER, B.D. – ROY, J.K. Multifunctional Sensors: Design, Construction, Methodology and Uses. In MULTIFUNCTIONAL SENSORS: DESIGN, CONSTRUCTION, METHODOLOGY AND USES. ISBN 978-100092907-2, 2023, p. 1-96. https://doi.org/10.1201/9781003350484., SCOPUS

 

Scientific papers in foreign impacted journals registered in Web of Sciences or Scopus

 

  • AMANN, A. – SCHWARZ, K. – WIMMER, G. – WITKOVSKÝ, Viktor. Model based determination of detection limits for proton transfer reaction mass spectrometer. In Measurement Science Review, 2010, vol. 10, no. 6, p. 180-188. (2009: 0.115 – SJR, Q4 – SJR). ISSN 1335-8871. https://doi.org/10.2478/v10048-010-0031-5

Other citations: 1

1. [3.1] KISTENEV, Y.V. – TRIMASSOV, I. – SHKURINOV, A.P. Approaches to non-contact diagnostics of stress conditions using infra-red and terahertz spectroscopy. In LIFE SAFETY / SECURITY TECHNOLOGIES. ISSN 2949-1673, 2023, no. 1. р. 71–81. (in Russian) https://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000998028.

 

  • ARENDACKÁ, Barbora. Approximate interval for the between-group variance under heteroscedasticity. In Journal of Statistical Computation and Simulation, 2012, vol. 82, no. 2, p. 209-218. (2011: 0.497 – IF, Q4 – JCR, 0.494 – SJR, Q2 – SJR). ISSN 0094-9655. https://doi.org/10.1080/00949655.2011.606548

WOS citations: 1

1. [1.1] YE, R.D. – DU, W.X. – LU, Y.T. Bootstrap inference for skew-normal unbalanced heteroscedastic one-way classification random effects model. In JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. ISSN 0094-9655, OCT 13 2023, vol. 93, no. 15, p. 2672-2702. https://doi.org/10.1080/00949655.2023.2202400., 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

WOS citations: 5; SCOPUS citations: 3; other citations: 1

1. [1.1] VAN DER WAAL, J. – MEIJBORG, V. – CORONEL, R. – DUBOIS, R. – OOSTENDORP, T. Basis and applicability of noninvasive inverse electrocardiography: a comparison between cardiac source models. In FRONTIERS IN PHYSIOLOGY. DEC 13 2023, vol. 14. https://doi.org/10.3389/fphys.2023.1295103., WOS

2. [1.1] PARREIRA, L. – CARMO, P. – NUNES, S. – MARINHEIRO, R. – MESQUITA, D. – ZUBAREV, S. – CHMELEVSKY, M. – HITCHEN, R. – FERREIRA, A. – PINHO, J. – MARQUES, L. – CHAMBEL, D. – AMADOR, P. – CARIA, R. – ADRAGAO, P. Electrocardiographic imaging to guide ablation of ventricular arrhythmias and agreement between two different systems. In JOURNAL OF ELECTROCARDIOLOGY. ISSN 0022-0736, SEP-OCT 2023, vol. 80, p. 143-150. https://doi.org/10.1016/j.jelectrocard.2023.06.003., WOS

3. [1.1] YADAN, Z. – JIAN, L. – JIAN, W. – YIFU, L. – HAIYING, L. – HAIRUI, L. An expert review of the inverse problem in electrocardiographic imaging for the non-invasive identification of atrial fibrillation drivers. In COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. ISSN 0169-2607, OCT 2023, vol. 240. https://doi.org/10.1016/j.cmpb.2023.107676., WOS

4. [1.1] TALEVI, G. – PANNONE, L. – MONACO, C. – BORI, E. – CAPPELLO, I.A. – CANDELARI, M. – WYNS, M. – RAMAK, R. – LA MEIR, M. – GHARAVIRI, A. – CHIERCHIA, G.B. – INNOCENTI, B. – DE ASMUNDIS, C. Evaluation of photogrammetry for medical application in cardiology. In FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY. ISSN 2296-4185, JAN 13 2023, vol. 11. https://doi.org/10.3389/fbioe.2023.1044647., WOS

5. [1.2] YOUSIAF, T.H. – AL-TAMIMI, M.S.H. The role of artificial intelligence in diagnosing heart disease in humans: A review. In JOURNAL OF APPLIED ENGINEERING AND TECHNOLOGICAL SCIENCE, 2023, vol. 5, no. 1, p. 321-338. ISSN 2715-6087. https://doi.org/10.37385/jaets.v5i1.3413., SCOPUS

6. [1.1] KALININ, V. – SHLAPUNOV, A. – USHENIN, K. On uniqueness theorems for the inverse problem of electrocardiography in the Sobolev spaces. In ZAMM-ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK. ISSN 0044-2267, JAN 2023, vol. 103, no. 1. https://doi.org/10.1002/zamm.202100217., WOS

7. [1.2] LEE, A.W.C. – STROCCHI, M. – RODERO, C. – MENDONCA COSTA, C. – NIEDERER, S.A. Computational Biomechanics of Ventricular Dyssynchrony and Resynchronization Therapy. In CARDIAC AND VASCULAR BIOLOGY, 2023, vol. 9, p. 299-336. ISSN 2509-7830. https://doi.org/10.1007/978-3-031-23965-6_12., SCOPUS

8. [1.2] MAYORCA-TORRES, D. – LEÓN-SALAS, A.J. – PELUFFO-ORDOÑEZ, D.H. Neural Networks on Noninvasive Electrocardiographic Imaging Reconstructions: Preliminary Results. In LECTURE NOTES IN NETWORKS AND SYSTEMS, 2023, vol. 619 LNNS, p. 55-63. ISSN 2367-3370. https://doi.org/10.1007/978-3-031-25942-5_5., SCOPUS

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  • CHVOSTEKOVÁ, Martina. Simultaneous two-sided tolerance intervals for a univariate linear regression model. In Communications in Statistics : Theory and Methods, 2013, vol. 42, no. 7, p. 1145-1152. (2012: 0.298 – IF, Q4 – JCR, 0.467 – SJR). ISSN 0361-0926. https://doi.org/10.1080/03610926.2012.724502

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1. [1.1] NAKAMURA, A. – YOUNG, D.S. Simultaneous tolerance intervals for linear regression models using an adjusted product set method. In COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION. ISSN 0361-0918, 2023 APR 13 2023. https://doi.org/10.1080/03610918.2023.2201666., WOS

 

  • JANUSEK, D. – ŠVEHLÍKOVÁ, JanaZELINKA, Ján – WEIGL, W. – ZACZEK, R. – OPOLSKI, G. – TYŠLER, Milan – MANIEWSKI, R. The roles of mid-myocardial and epicardial cells in T-wave alternans development: A simulation study. In BioMedical Engineering OnLine, 2018, vol. 17, no. 1, p. 57. (2017: 1.676 – IF, Q3 – JCR, 0.542 – SJR, Q2 – SJR). ISSN 1475-925X. https://doi.org/10.1186/s12938-018-0492-6

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2. [1.1] WANG, T. – FAN, F.F. – GONG, Y.J. – GAO, L. – LIU, Z.H. – JIA, J. – LIU, M.Y. – JIANG, Y.M. – ZHANG, Y. – LI, J.P. Comparison of brachial-ankle pulse wave velocity and carotid-femoral pulse wave velocity in association with albuminuria in a community of Beijing: a cross-sectional study. In JOURNAL OF HUMAN HYPERTENSION. ISSN 0950-9240, MAY 2023, vol. 37, no. 5, p. 412-418. https://doi.org/10.1038/s41371-022-00697-7., WOS

3. [1.2] SAKAGAMI, A. – SOEDA, T. – SAITO, Y. – NAKAO, K. – OZAKI, Y. – KIMURA, K. – AKO, J. – NOGUCHI, T. – SUWA, S. – FUJIMOTO, K. – DAI, K. – MORITA, T. – SHIMIZU, W. – HIROHATA, A. – MORITA, Y. – INOUE, T. – OKAMURA, A. – MANO, T. – WAKE, M. – TANABE, K. – SHIBATA, Y. – OWA, M. – TSUJITA, K. – FUNAYAMA, H. – KOKUBU, N. – KOZUMA, K. – UEMURA, S. – TOBARU, T. – SAKU, K. – OSHIMA, S. – MIYAMOTO, Y. – OGAWA, H. – ISHIHARA, M. Clinical impact of beta-blockers at discharge on long-term clinical outcomes in patients with non-reduced ejection fraction after acute myocardial infarction. In JOURNAL OF CARDIOLOGY, 2023, vol. 81, no. 1, p. 83-90. ISSN 0914-5087. https://doi.org/10.1016/j.jjcc.2022.08.002., SCOPUS

 

  • GOGOLA, DanielKRAFČÍK, Andrej – STRBAK, O. – FROLLO, Ivan. Magnetic resonance imaging of surgical implants made from weak magnetic materials. In Measurement Science Review, 2013, vol. 13, no. 4, p. 165-168. (2012: 1.233 – IF, Q3 – JCR, 0.292 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2013-0026

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1. [1.1] MIOLA, M. – BARBERIS, F. – LAGAZZO, A. – VERNè, E. PMMA composite bone cement containing bioactive and ferrimagnetic glass-ceramic particles: Effect of temperature and of the additional phase on some physical and mechanical properties. In CERAMICS INTERNATIONAL. ISSN 0272-8842, AUG 1 2023, vol. 49, no. 15, p. 24885-24894. https://doi.org/10.1016/j.ceramint.2023.05.017., WOS

 

  • 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

WOS citations: 3; SCOPUS citations: 3

1. [1.1] VETRAB, M. – GOSZTOLYA, G. Using Hybrid HMM/DNN Embedding Extractor Models in Computational Paralinguistic Tasks. In SENSORS. MAY 30 2023, vol. 23, no. 11. https://doi.org/10.3390/s23115208., WOS

2. [1.1] VETRÁB, M. – GOSZTOLYA, G. Aggregation Strategies of Wav2vec 2.0 Embeddings for Computational Paralinguistic Tasks. In SPEECH AND COMPUTER, SPECOM 2023, PT I. ISSN 2945-9133, 2023, vol. 14338, p. 79-93. https://doi.org/10.1007/978-3-031-48309-7_7., WOS

3. [1.1] ALMOMANI, A. – ALWESHAH, M. – ALOMOUSH, W. – ALAUTHMAN, M. – JABAI, A. – ABBASS, A. – HAMAD, G. – ABDALLA, M. – GUPTA, B.B. Age and Gender Classification Using Backpropagation and Bagging Algorithms. In CMC-COMPUTERS MATERIALS & CONTINUA. ISSN 1546-2218, 2023, vol. 74, no. 2, p. 3045-3062. https://doi.org/10.32604/cmc.2023.030567., WOS

4. [1.2] OSMAN, M.M. – BÜYÜK, O. – TANGEL, A. Effect of number and position of frames in speaker age estimation. In SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES. ISSN 1304-7191, 2023, vol. 41, no. 2, p. 243–255. https://doi.org/10.14744/sigma.2023.00036., SCOPUS

5. [1.2] KHANAM, Z. – SEMAB, M.D. – ULLAH KHAN, H. – ALI SHAHID, M.M. Machine Learning based Gender Prediction by Exploring Diverse Audio Features. In 2023 INTERNATIONAL CONFERENCE ON IT AND INDUSTRIAL TECHNOLOGIES, ICIT 2023. ISBN 979-835031597-4, 2023. https://doi.org/10.1109/ICIT59216.2023.10335771., SCOPUS

6. [1.2] SINGHAL, A. – SHARMA, D.K. Precision Value, Error Rate and Accuracy of Human Gender Identification Based on Randomized Voice Signals Dataset. In INTERNATIONAL JOURNAL OF INTELLIGENT ENGINEERING AND SYSTEMS. ISSN 2185-310X, 2023, vol. 16, no. 4, p. 348-361. https://doi.org/10.22266/ijies2023.0831.28., SCOPUS

 

  • 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

WOS citations: 1

1. [1.1] RUJZL, M. – SIGMUND, M. Depersonalization of Speech Using Speaker-Specific Transform Based on Long-Term Spectrum. In RADIOENGINEERING. ISSN 1210-2512, DEC 2023, vol. 32, no. 4, p. 523-530. https://doi.org/10.13164/re.2023.0523., WOS

 

  • 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

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1. [1.1] AHMED, H.E. – SAHANDABADI, S. – AHAMED, M.J. Application of MEMS Accelerometers in Dynamic Vibration Monitoring of a Vehicle. In MICROMACHINES. APR 24 2023, vol. 14, no. 5. https://doi.org/10.3390/mi14050923., WOS

2. [1.1] MÚCKA, P. Relation Between Seated Person Vibrations and the International Roughness Index. In TRANSPORTATION RESEARCH RECORD. ISSN 0361-1981, JUN 2023, vol. 2677, no. 6, p. 351-364. https://doi.org/10.1177/03611981221147210., WOS

 

  • TEPLAN, MichalKRAKOVSKÁ, 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

WOS citations: 1; other citations: 1

1. [1.1] KUHNE, C. – KECELIOGLU, E.D. – MALTBY, S. – HOOD, R.J. – KNOTT, B. – DITTON, E. – WALKER, F.R. – KLUGE, M.G. Direct comparison of virtual reality and 2D delivery on sense of presence, emotional and physiological outcome measures. In FRONTIERS IN VIRTUAL REALITY. AUG 17 2023, vol. 4. https://doi.org/10.3389/frvir.2023.1211001., WOS

2. [3.1] ZEMLA, K. – WOJCIK, G.M. – POSTEPSKI, F. – KWASNIEWICZ, L.K. – KAWIAK, A.T. Investigating the Influence of Guided Imagery Relaxation on the Selected Electrophysiological Parameters of Human Body. In SELECTED TOPICS IN APPLIED COMPUTER SCIENCE. ISBN 978-83-227-9675-7, 2023, p. 21-37. https://wydawnictwo.umcs.eu/js/elfinder/files/Ebook/Selected.Topics.In.Applied.Computer.Science.Vol.II.pdf.

 

Scientific papers in domestic non-impacted journals registered in Web of Sciences or Scopus

 

  • COCHEROVÁ, ElenaŠVEHLÍKOVÁ, JanaZELINKA, JánTYŠLER, Milan. Activation propagation in cardiac ventricles using homogeneous monodomain model and model based on cellular automaton. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 217-220. ISBN 978-80-972629-0-7. https://doi.org/10.23919/MEASUREMENT.2017.7983575

SCOPUS citations: 1

1. [1.2] HUANG, C. – ZHU, R. – QI, X. – YANG, L. – WANG, Y. – LEI, W. A Comparison and Selecting Model for Ship Traffic Organization Schemes Based on Cellular Automata and the Serial Number Sum Theory. In 7th IEEE INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY, ICTIS 2023. ISBN 979-835030853-2, 2023, p. 726-731. https://doi.org/10.1109/ICTIS60134.2023.10243850., SCOPUS

 

  • HAIN, MiroslavBARTL, JánJACKO, 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

SCOPUS citations: 1; other citations: 1

1. [1.2] NI, H. – CHU, J. – HUANG, S. – ZHOU, J. – WANG, Y. – ZHU, W. Selecting a Suitable Portable X-ray Equipment Based on the Non-destructive Testing of Crimped Power Fittings on Transmission Lines. In 2023 IEEE 3RD INTERNATIONAL CONFERENCE ON POWER, ELECTRONICS AND COMPUTER APPLICATIONS, ICPECA 2023. ISBN 978-166547278-4, 2023, p. 781-784. https://doi.org/10.1109/ICPECA56706.2023.10075870., SCOPUS

2. [3.1] XIONG, S. – WANG, J. Research on a method of X – ray graph analysis for power equipment. In 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMMUNICATION TECHNOLOGY (AICT 2023). ISBN 978-1-961651-05-0, 2023, vol. 56. https://doi.org/10.54097/hset.v56i.10806.

 

  • CHVOSTEKOVÁ, Martina. Granger causality inference and time reversal. In MEASUREMENT 2019 : Proceedings of the 12th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, Slovak Academy of Sciences, 2019, p. 110-113. ISBN 978-80-972629-2-1. https://doi.org/10.23919/MEASUREMENT47340.2019.8779895

WOS citations: 1; other citations: 1

1. [1.1] RODRÍGUEZ-IBÁNEZ, M. – CASÁNEZ-VENTURA, A. – CASTEJÓN-MATEOS, F. – CUENCA-JIMÉNEZ, P.M. A review on sentiment analysis from social media platforms. In EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174, AUG 1 2023, vol. 223. https://doi.org/10.1016/j.eswa.2023.119862., WOS

2. [3.1] DAHIYA, R. – DHANKHAR, A. – DHANKHAR, A. Sentimental Analysis Of Social Networks: A Comprehensive review (2018-2023). In RESEARCH SQUARE, 2023, https://doi.org/10.21203/rs.3.rs-3625172/v1.

 

  • KADANEC, JanZELINKA, JánBUKOR, GabrielTYŠLER, Milan. ProCardio 8 – system for high resolution ECG mapping. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 263-266. ISBN 978-80-972629-0-7. https://doi.org/10.23919/MEASUREMENT.2017.7983586

WOS citations: 1; SCOPUS citations: 2

1. [1.1] ONDRUSOVA, B. – TINO, P. – SVEHLIKOVA, J. A two-step inverse solution for a single dipole cardiac source. In FRONTIERS IN PHYSIOLOGY. SEP 7 2023, vol. 14. https://doi.org/10.3389/fphys.2023.1264690., WOS

2. [1.2] SVEHLIKOVA, J. – RASOOLZADEH, N. – ONDRUSOVA, B. – HLIVAK, P. – DOGRUSOZ, Y.S. Two Approaches for Inverse PVC Localization from Clinical ECG Data Using Heart Surface Potentials. In COMPUTING IN CARDIOLOGY, 2023. ISSN 2325-8861. https://doi.org/10.22489/CinC.2023.374., SCOPUS

3. [1.2] DOGRUSOZ, Y.S. – RASOOLZADEH, N. – ONDRUSOVA, B. – HLIVAK, P. – SVEHLIKOVA, J. Evaluation of Inverse Electrocardiography Solutions Based on Signal-Averaged Beats to Localize the Origins of Spontaneous Premature Ventricular Contractions in Humans. In LECTURE NOTES IN COMPUTER SCIENCE, 2023, 13958 LNCS, p. 166-174. ISSN 0302-9743. https://doi.org/10.1007/978-3-031-35302-4_17., SCOPUS

 

  • KRAKOVSKÁ, Anna. Predictability improvement as a tool to detect causality. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 39-42. ISBN 978-80-972629-0-7. https://doi.org/10.23919/MEASUREMENT.2017.7983531

WOS citations: 1

1. [1.1] GUO, W.S. – SUN, S. – WILSON, A. Exploring Potential Causal Models for Climate-Society-Conflict Interaction. In PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON COMPLEXITY, FUTURE INFORMATION SYSTEMS AND RISK, COMPLEXIS 2023. ISSN 2184-5034, 2023, p. 69-76. https://doi.org/10.5220/0011968400003485., WOS

 

  • LEHOCKI, Fedor – MADEVSKA BOGDANOVA, A. – TYŠLER, MilanONDRUŠOVÁ, Beáta – SIMJANOSKA, M. – KOTESKA, B. – KOSTOSKA, M. – MAJAK, M. – MACURA, M. SmartPatch for victims management in emergency telemedicine. In MEASUREMENT 2021 : Proceedings of the 13th International Conference on Measurement. – Bratislava : Institute of Measurement Science, SAS, 2021, 2021, p. 146-149. ISBN 978-80-972629-4-5. https://doi.org/10.23919/Measurement52780.2021.9446791

SCOPUS citations: 1

1. [1.2] DIMITRIEVSKI, A. – LONCAR-TURUKALO, T. – TRAJKOVIK, V. Securing Patient Information in Connected Healthcare Systems in the Age of Pervasive Data Collection. In 2023 IEEE INTERNATIONAL MEDITERRANEAN CONFERENCE ON COMMUNICATIONS AND NETWORKING, 2023, p. 29-33. https://doi.org/10.1109/MeditCom58224.2023.10266620., SCOPUS

 

  • TIŇOVÁ, Mária – HUISKAMP, G.J. – TURZOVÁ, Marie TYŠLER, Milan. The uniform double layer model and myocardial infarction: Forward solution consideration. In Bratislavské lekárske listy, 1996, vol. 97, p. 558-561. ISSN 0006-9248.

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1. [1.1] YADAN, Z. – JIAN, L. – JIAN, W. – YIFU, L. – HAIYING, L. – HAIRUI, L. An expert review of the inverse problem in electrocardiographic imaging for the non-invasive identification of atrial fibrillation drivers. In COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. ISSN 0169-2607, OCT 2023, vol. 240. https://doi.org/10.1016/j.cmpb.2023.107676., WOS

 

  • 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

WOS citations: 3; SCOPUS citations: 1

1. [1.1] CHEN, Y.F. – CHEN, J.X. – QU, J.Y. – LI, T. – SUN, S.W. Health risk assessment of dietary cadmium intake in children aged 2-17 years in East China. In ENVIRONMENTAL GEOCHEMISTRY AND HEALTH. ISSN 0269-4042, JUL 2023, vol. 45, no. 7, p. 5311-5322. https://doi.org/10.1007/s10653-023-01562-3., WOS

2. [1.1] HUANG, H.N. A propensity-based framework for measurement uncertainty analysis. In MEASUREMENT. ISSN 0263-2241, MAY 31 2023, vol. 213. https://doi.org/10.1016/j.measurement.2023.112693., WOS

3. [1.1] GUO, C. – QIU, S. – NI, T.L. – WANG, B.J. – LIU, Q.X. Fast Phase Recognition of Mechanical Helical Phased Array Antenna Element Based on Line-Scan Machine Vision. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, 2023, vol. 72. https://doi.org/10.1109/TIM.2023.3329160., WOS

4. [1.2] CHU, Z.K. – HU, D.F. Analysis of uncertainty relationship of mechanical structure based on hole-shaft clearance fit. In JIXIE QIANGDU/JOURNAL OF MECHANICAL STRENGTH, 2023, vol. 45, no. 4, p. 850-855. ISSN 1001-9669. https://doi.org/10.16579/j.issn.1001.9669.2023.04.013., SCOPUS

 

Scientific papers in other foreign journals not registered in WOS or Scopus without IF (non-impacted)

 

  • CHVOSTEKOVÁ, Martina. Two-sided tolerance intervals in a simple linear regression. In Acta Universitatis Palackianae Olomucensis, Facultas Rerum Naturalium : Mathematica, 2013, vol. 52, no. 2, p. 31-41. ISSN 0231-9721.

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1. [1.1] ABDEL-KARIM, A.H. Bootstrap tolerance intervals for linear regression models. In ADVANCES AND APPLICATIONS IN STATISTICS. ISSN 0972-3617, JUN 2023, vol. 87, no. 2, p. 139-159. https://doi.org/10.17654/0972361723032., WOS

 

  • KRAKOVSKÁ, AnnaMEZEIOVÁ, KristínaBUDÁČOVÁ, 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.

WOS citations: 14; SCOPUS citations: 2; other citations: 2

1. [1.1] GIOIA, F. – NARDELLI, M. – SCILINGO, E.P. – GRECO, A. Autonomic Regulation of Facial Temperature during Stress: A Cross-Mapping Analysis. In SENSORS. JUL 2023, vol. 23, no. 14. https://doi.org/10.3390/s23146403., WOS

2. [1.1] SINGH, J. – SINGH, S. – GUPTA, S. – CHAVAN, B.S. Cognitive remediation and schizophrenia: Effects on brain complexity. In NEUROSCIENCE LETTERS. ISSN 0304-3940, JUN 21 2023, vol. 808. https://doi.org/10.1016/j.neulet.2023.137268., WOS

3. [1.1] MYERS, A.D. – CHUMLEY, M.M. – KHASAWNEH, F.A. – MUNCH, E. Persistent homology of coarse-grained state-space networks. In PHYSICAL REVIEW E. ISSN 2470-0045, MAR 2 2023, vol. 107, no. 3. https://doi.org/10.1103/PhysRevE.107.034303., WOS

4. [1.1] DESHMUKH, V. – MEIKLE, R. – BRADLEY, E. – MEISS, J.D. – GARLAND, J. Using scaling-region distributions to select embedding parameters. In PHYSICA D-NONLINEAR PHENOMENA. ISSN 0167-2789, APR 2023, vol. 446. https://doi.org/10.1016/j.physd.2023.133674., WOS

5. [1.1] WU, T. – AN, F. – GAO, X.Y. – LIU, S.Y. – SUN, X.T. – WANG, Z.G. – SU, Z. – KURTHS, J. Universal window size-dependent transition of correlations in complex systems. In CHAOS. ISSN 1054-1500, FEB 2023, vol. 33, no. 2. https://doi.org/10.1063/5.0134944., WOS

6. [1.1] ZHOU, R.X. – LI, T. – LI, X.Y. – LIAN, H. Characterization and predictive modeling of a trajectory-oriented dual-mode scramjet combustor. In PHYSICS OF FLUIDS. ISSN 1070-6631, FEB 2023, vol. 35, no. 2. https://doi.org/10.1063/5.0136170., WOS

7. [1.1] MARWAN, N. – KRAEMER, K.H. Trends in recurrence analysis of dynamical systems. In EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS. ISSN 1951-6355, FEB 2023, vol. 232, no. 1, SI, p. 5-27. https://doi.org/10.1140/epjs/s11734-022-00739-8., WOS

8. [1.1] WU, T. – GAO, X.Y. – AN, F. – KURTHS, J. The complex dynamics of correlations within chaotic systems. In CHAOS SOLITONS & FRACTALS. ISSN 0960-0779, FEB 2023, vol. 167. https://doi.org/10.1016/j.chaos.2022.113052., WOS

9. [1.1] SADOUN, M.S.N. – RAHMAN, M.M.U. – AL-NAFFOURI, T. – LALEG-KIRATI, T.M. EEG Epileptic Data Classification Using the Schrodinger Operator’s Spectrum. In 2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC. ISSN 1557-170X, 2023. https://doi.org/10.1109/EMBC40787.2023.10340881., WOS

10. [1.1] TAKAI, E. – NAKANE, K. – TAKADA, H. Nonlinear analyses of electrogastrograms during olfactory stimulation with Vanilla Odorant. In MECHATRONIC SYSTEMS AND CONTROL. ISSN 2561-1771, 2023, vol. 51, no. 3, p. 152-158. https://doi.org/10.2316/J.2023.201-0367., WOS

11. [1.1] ZHOU, Y. – XIE, C. – WANG, G.J. – ZHU, Y. – UDDIN, G.S. Analysing and forecasting co-movement between innovative and traditional financial assets based on complex network and machine learning. In RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE. ISSN 0275-5319, JAN 2023, vol. 64. https://doi.org/10.1016/j.ribaf.2022.101846., WOS

12. [1.1] GIRI, F. – DEVERCELLI, M. Chaos arising from the hydrological behaviour of a floodplain river during the last century. In RIVER RESEARCH AND APPLICATIONS. ISSN 1535-1459, FEB 2023, vol. 39, no. 2, p. 241-254. https://doi.org/10.1002/rra.4080., WOS

13. [1.1] SONG, Z.X. – DENG, B. – ZHU, Y.L. – CAI, L.H. – WANG, J. – YI, G.S. Probing epileptic disorders with lightweight neural network and EEG’s intrinsic geometry. In NONLINEAR DYNAMICS. ISSN 0924-090X, MAR 2023, vol. 111, no. 6, p. 5817-5832. https://doi.org/10.1007/s11071-022-08118-7., WOS

14. [1.1] MYERS, A. – KVINGE, H. – EMERSON, T. TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data. In 2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW. ISSN 2160-7508, 2023, p. 600-609. https://doi.org/10.1109/CVPRW59228.2023.00067., WOS

15. [1.2] DEACONESCU, D.B. – MARIA BUDA, A. – SUKA, D. – MICLAUS, S. Temporal Recurrence Analysis of Base Stations Emissions in 4G Mobile Communications. In 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING, 2023. https://doi.org/10.1109/ATEE58038.2023.10108282., SCOPUS

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  • ŠUŠMÁKOVÁ, Kristína. Correlation dimension versus fractal exponent during sleep onset. In Measurement Science Review, 2006, vol. 6, no. 4, p. 58-62. ISSN 1335-8871.

WOS citations: 1

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  • ROSÍK, VladimírKARAS, SlavomírHEBLÁKOVÁ, EvaTYŠLER, Milan – FILIPOVÁ, S. Portable device for high resolution ECG mapping. In Measurement Science Review, 2007, vol. 7, sec. 2, p. 57-61. ISSN 1335-8871.

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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

WOS citations: 16; SCOPUS citations: 9; other citations: 7

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  • WITKOVSKÝ, Viktor. A note on computing extreme tail probabilities of the noncentral t-distribution with large noncentrality parameter. In Acta Universitatis Palackianae Olomucensis, Facultas Rerum Naturalium : Mathematica, 2013, vol. 52, no. 2, 131-143. ISSN 0231-9721.

WOS citations: 1

1. [1.1] GIL, A. – SEGURA, J. – TEMME, N.M. New asymptotic representations of the noncentral t-distribution. In STUDIES IN APPLIED MATHEMATICS. ISSN 0022-2526, OCT 2023, vol. 151, no. 3, p. 857-882. https://doi.org/10.1111/sapm.12609., 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

WOS citations: 1; SCOPUS citations: 1; other citations: 2

1. [1.1] SILVA, M.V. – DE STEFANI, G.L. – GUEDES, G. – PALMA, D.A.P. Effective medium temperature for calculating the deformed Doppler broadening function considering the Tsallis distribution. In ANNALS OF NUCLEAR ENERGY. ISSN 0306-4549, DEC 15 2023, vol. 194. https://doi.org/10.1016/j.anucene.2023.110110., WOS

2. [1.2] SYCHEV, V.N. – BOGOMOLOV, L.M. – KOSTYLEV, D.V. – KOSTYLEVA, N.V. Nonextensive Analysis of Natural and Technogenic Seismicity of Sakhalin Island. In SPRINGER PROCEEDINGS IN EARTH AND ENVIRONMENTAL SCIENCES, 2023, part F1999, p. 255-265. ISSN 2524-342X. https://doi.org/10.1007/978-3-031-50248-4_26., SCOPUS

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4. [3.1] SPARAVIGNA, A.C. Raman Spectroscopy of the Iron Oxides in the Form of Minerals, Particles and Nanoparticles. In chemRxiv, 2023, https://doi.org/10.26434/chemrxiv-2023-22kh4-v2.

 

Scientific papers in other domestic journals not registered in WOS or Scopus without IF (non-impacted)

 

  • ANDRIS, Peter. Matching RF coils for NMR tomograph. In Journal of Electrical Engineering, 1999, vol. 50, no. 5-6, p. 147-150. ISSN 1335-3632.

WOS citations: 1

1. [1.1] DAYAN, N. – ARTZI, Y. – JBARA, M. – CRISTEA, D. – BLANK, A. Pulsed Electron-Nuclear Double Resonance in the Fourier Regime. In CHEMPHYSCHEM. ISSN 1439-4235, APR 3 2023, vol. 24, no. 7. https://doi.org/10.1002/cphc.202200624., WOS

 

  • BARTL, JánBARÁNEK, Martin. Emissivity of aluminium and its importance for radiometric measurement. In Measurement Science Review, 2004, vol. 4, sec. 3, p. 31-36. ISSN 1335-8871.

WOS citations: 6; SCOPUS citations: 1; other citations: 1

1. [1.1] CHE-PAN, M. – SIMÁ, E. – AVILA-HERNÁNDEZ, A. – URIARTE-FLORES, J. – VARGAS-LÓPEZ, R. Thermal performance of a window shutter with a phase change material as a passive system for buildings in warm and cold climates of M?xico. In ENERGY AND BUILDINGS. ISSN 0378-7788, FEB 15 2023, vol. 281. https://doi.org/10.1016/j.enbuild.2023.112775., WOS

2. [1.1] HOSSAIN, M.A. Spectral simulation and materials design for camouflage textiles coloration against materials of multidimensional combat backgrounds in visible and near infrared spectrums. In MRS COMMUNICATIONS. ISSN 2159-6859, APR 2023, vol. 13, no. 2, p. 306-319. https://doi.org/10.1557/s43579-023-00344-3., WOS

3. [1.1] RHO, S. – PARK, S.M. – PYO, J. – LEE, M. – JIN, M. – YU, S.C. LiDAR-Stereo Thermal Sensor Fusion for Indoor Disaster Environment. In IEEE SENSORS JOURNAL. ISSN 1530-437X, APR 1 2023, vol. 23, no. 7, p. 7816-7827. https://doi.org/10.1109/JSEN.2023.3245619., WOS

4. [1.1] FAN, H.Y. – WITVROUW, A. – WOLF-MONHEIM, F. – SOUSCHEK, R. – YANG, S.F. Effects of substrate surface treatments on hybrid manufacturing of AlSi7Mg using die casting and selective laser melting. In JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY. ISSN 1005-0302, SEP 1 2023, vol. 156, p. 142-156. https://doi.org/10.1016/j.jmst.2023.02.009., WOS

5. [1.1] LIN, G. – JI, P.F. – WANG, M.M. – MENG, Y. Numerical insight into heat transfer in surface melting and ablation subject to femtosecond laser processing aluminum. In INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER. ISSN 0735-1933, MAR 2023, vol. 142. https://doi.org/10.1016/j.icheatmasstransfer.2023.106649., WOS

6. [1.1] WU, Y.Z. – WANG, L.X. – ZHANG, L. – BAI, Y. – CAI, Y. – WANG, S.G. – LI, Y.Q. Improving autonomous detection in dynamic environments with robust monocular thermal SLAM system. In ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING. ISSN 0924-2716, SEP 2023, vol. 203, p. 265-284. https://doi.org/10.1016/j.isprsjprs.2023.08.002., WOS

7. [1.2] ORTLIEB, E. – MÜLLER, F. – PEDDINGHAUS, S. – PEDDINGHAUS, J. – WESTER, H. – ROTHGÄNGER, M. – MONKE, H. – RAIBLE, J. – HUBER, M. – BRUNOTTE, K. Data acquisition in industrial forging conditions. In WT WERKSTATTSTECHNIK. ISSN 1436-4980, 2023, vol. 113, no. 10, p. 419-424. https://doi.org/10.37544/1436-4980-2023-10-41., SCOPUS

8. [3.1] CHO, J.S. – JANG, W. – PARK, K.H. – WANG, D.H. Multilayered Gnp/Amorphous Alloy Strain Sensors with an Extended Operating Range and Thermal Stability. In SSRN, 2023, http://dx.doi.org/10.2139/ssrn.4642877.

 

  • HAIN, MiroslavBARTL, JánJACKO, Vlado. Multispectral analysis of cultural heritage artefacts. In Measurement Science Review, 2003, vol. 3, p. 9-12. ISSN 1335-8871.

WOS citations: 4; other citations: 1

1. [1.1] MORENO-SOTO, J. – KRIZNAR, A. – AGER, F.J. – GÓMEZ, A. – GAMERO-OSUNA, A. – MARTÍN-DE-SOTO, A. – RESPALDIZA, M.A. Material and Imaging Analysis Procedure for the Investigation of Paintings in the Archbishop’s Palace of Seville. In HERITAGE. ISSN 2571-9408, JUN 2023, vol. 6, no. 6, p. 4527-4541. https://doi.org/10.3390/heritage6060240., WOS

2. [1.1] SCHMITT, B. – SOUIDI, Z. – DUQUESNOY, F. – DONZÉ, F.V. From RGB camera to hyperspectral imaging: a breakthrough in Neolithic rock painting analysis. In HERITAGE SCIENCE. ISSN 2050-7445, MAY 8 2023, vol. 11, no. 1. https://doi.org/10.1186/s40494-023-00940-5., WOS

3. [1.1] KRIZNAR, A. – MORENO-SOTO, J. – GAMERO-OSUNA, A. – MARTÍN-DE-SOTO, A. – AGER, F.J. – RESPALDIZA, M.A. Material and Technical Analysis of La Inmaculada by Francisco Pacheco. In MINERALS. APR 2023, vol. 13, no. 4. https://doi.org/10.3390/min13040541., WOS

4. [1.1] MORENO-SOTO, J. – KRIZNAR, A. – AGER, F.J. – GÓMEZ-MORÓN, M.A. – GAMERO-OSUNA, A. – MARTIN-DE-SOTO, A. – RESPALDIZA, M.A. Zurbaran attribution hypothesis supported by pigment analysis and multiband images observation of four paintings by his workshop. In SCIENTIFIC REPORTS. ISSN 2045-2322, JAN 16 2023, vol. 13, no. 1. https://doi.org/10.1038/s41598-023-27677-2., WOS

5. [3.1] MAHMOUD, H.M. Painting on Fibers: Methods of Pigment Analysis on Ancient Egyptian Painted Textiles. IGI Global, ISBN 9781799848110, 2023. http://dx.doi.org/10.4018/978-1-7998-4811-0.ch004.

 

  • HUBKA, P. – ROSÍK, VladimírŽDIŇÁK, JaroslavTYŠLER, MilanHULÍN, Ivan. Independent component analysis of electrogastrographic signals. In Measurement Science Review, 2005, vol. 5, no. 2, p. 21-24. ISSN 1335-8871.

WOS citations: 1

1. [1.1] GRILO, M. – MORAES, C.P.A. – COELHO, B.F.O. – MASSARANDUBA, A.B.R. – FANTINATO, D. – RAMOS, R.P. – NEVES, A. Artifact removal for emotion recognition using mutual information and Epanechnikov kernel. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, MAY 2023, vol. 83. https://doi.org/10.1016/j.bspc.2023.104677., WOS

 

  • ŠUŠMÁKOVÁ, KristínaKRAKOVSKÁ, Anna. Classification of waking, sleep onset and deep sleep by single measures. In Measurement Science Review, 2007, vol. 7, no. 3, p. 34-38. ISSN 1335-8871.

WOS citations: 1

1. [1.1] CONRAD, E.C. – REVELL, A.Y. – GREENBLATT, A.S. – GALLAGHER, R.S. – PATTNAIK, A.R. – HARTMANN, N. – GUGGER, J.J. – SHINOHARA, R.T. – LITT, B. – MARSH, E.D. – DAVIS, K.A. Spike patterns surrounding sleep and seizures localize the seizure-onset zone in focal epilepsy. In EPILEPSIA. ISSN 0013-9580, MAR 2023, vol. 64, no. 3, p. 754-768. https://doi.org/10.1111/epi.17482., WOS

 

  • ŠUŠMÁKOVÁ, Kristína. Human sleep and sleep EEG. In Measurement Science Review, 2004, vol. 4, p. 59-74. ISSN 1335-8871.

WOS citations: 5; other citations: 3

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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. – SPIE, 2013. ISBN 9780819496072. ISSN 0277-786X. https://doi.org/10.1117/12.2019464

SCOPUS citations: 1

1. [1.2] MA, L. – ZHU, J. – YANG, L. – LIAO, R. – LIU, H. – FAN, Y. – YANG, S. Review of High-Resolution Shape Measurement Methods for Extendable Surfaces. In LASER AND OPTOELECTRONICS PROGRESS, 2023, vol. 60, no. 8, p. ISSN 1006-4125. https://doi.org/10.3788/LOP223445., 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

WOS citations: 4; SCOPUS citations: 1

1. [1.1] GUZSVINECZ, T. – PERGE, E. – SZUCS, J. Analyzing Accurate Egocentric Distance Estimates of University Students in Virtual Environments with a Desktop Display and Gear VR Display. In ELECTRONICS. MAY 15 2023, vol. 12, no. 10. https://doi.org/10.3390/electronics12102253., WOS

2. [1.1] GUZSVINECZ, T. – PERGE, E. – SZUCS, J. Examining the Results of Virtual Reality-Based Egocentric Distance Estimation Tests Based on Immersion Level. In SENSORS. MAR 2023, vol. 23, no. 6. https://doi.org/10.3390/s23063138., WOS

3. [1.1] D’AURIZIO, G. – DI POMPEO, I. – PASSARELLO, N. – LOPEZ, E.T. – SORRENTINO, P. – CURCIO, G. – MANDOLESI, L. Visuospatial working memory abilities in children analyzed by the bricks game task (BGT). In PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG. ISSN 0340-0727, OCT 2023, vol. 87, no. 7, p. 2111-2119. https://doi.org/10.1007/s00426-023-01803-1., WOS

4. [1.1] VOSTINÁR, P. – SROBÁR, M. Creating computer games that are controlled by EEG helmets. In IPSI BGD TRANSACTIONS ON INTERNET RESEARCH. ISSN 1820-4503, JAN 2023, vol. 19, no. 1, SI, p. 59-65., WOS

5. [1.2] PETUKHOV, I. – STESHINA, L. – KURASOV, P. – TANRYVERDIEV, I. – STESHIN, I. Intelligent Simulation-Based Training System for Harvester Operators. In 2023 3RD INTERNATIONAL CONFERENCE ON EMERGING FRONTIERS IN ELECTRICAL AND ELECTRONIC TECHNOLOGIES, ICEFEET 2023. ISBN 979-835030739-9, 2023. https://doi.org/10.1109/ICEFEET59656.2023.10452181., SCOPUS

 

  • 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

WOS citations: 1

1. [1.1] ÖZBAY, F.A. – ÖZBAY, E. A new approach for gender detection from voice data: Feature selection with optimization methods. In JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY. ISSN 1300-1884, 2023, vol. 38, no. 2, p. 1179-1192. https://doi.org/10.17341/gazimmfd.938294., WOS

 

Published papers from domestic scientific conferences

 

  • CHVÁLA, A. – NAGY, L. – MAREK, J. – PRIESOL, J. – DONOVAL, D. – VILHAN, Martin – BLAHO, M. – GREGUŠOVÁ, D. – KUZMÍK, J. – ŠATKA, A. Simulation analysis of InAlN/GaN monolithic NAND logic cell. In ASDAM 2018 : The Twelfth International Conference on Advanced Semiconductor Devices and Microsystems. – IEEE, 2018, p. 167-170. ISBN 978-1-5386-7488-8. https://doi.org/10.1109/ASDAM.2018.8544508

WOS citations: 1

1. [1.1] GMEINER, F. – YANG, H.P. – YAO, L.N. – HOLSTEIN, K. – MARTELARO, N. Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools. In PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2023. 2023. https://doi.org/10.1145/3544548.3580999., WOS

 

Works published on the internet

 

  • KRAKOVSKÁ, AnnaJAKUBÍK, JozefBUDÁČOVÁ, HanaHOLECYOVÁ, Mária. Causality studied in reconstructed state space. Examples of uni-directionally connected chaotic systems. In arXiv:1511.00505 [nlin.CD], 2015, p. 1-41.

WOS citations: 1; other citations: 2

1. [1.1] MATEOS, D.M. – RIVEAUD, L.E. – LAMBERTI, P.W. Rao-Burbea centroids applied to the statistical characterization of time series and images through ordinal patterns. In CHAOS. ISSN 1054-1500, MAR 2023, vol. 33, no. 3. https://doi.org/10.1063/5.0136240., WOS

2. [3.1] SAIKI-ISHIKAWA, A. – AGRIOS, M. – SAVYA, S. – FORREST, A. – SROUSSI, H. – HSU, S. – BASRAI, D. – XU, F. – MIRI, A. Hierarchy between forelimb premotor and primary motor cortices and its manifestation in their firing patterns. In bioRxiv, 2023, https://doi.org/10.1101/2023.09.23.559136.

3. [3.1] WANG, P. An improved approach to convergent cross mapping method for strongly coupled time series data. In RESEARCH SQUARE, 2023, https://doi.org/10.21203/rs.3.rs-4085456/v1.

 

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

WOS citations: 2; SCOPUS citations: 1

1. [1.1] SCHÄFER, B. – GORJAO, L.R. – YALCIN, G.C. – FÖRSTNER, E. – JUMAR, R. – MAASS, H. – KÜNHNAPFEL, U. – HAGENMEYER, V. Microscopic Fluctuations in Power-Grid Frequency Recordings at the Subsecond Scale. In COMPLEXITY. ISSN 1076-2787, MAR 6 2023, vol. 2023. https://doi.org/10.1155/2023/2657039., WOS

2. [1.1] ZAHEDI, M.S. – MOHAMMADI, S. – HEYDARI, A. Kaiser Window Efficiency in Calculating the Exact Fractal Dimension by the Power Spectrum Method. In JOURNAL OF MATHEMATICAL EXTENSION. ISSN 1735-8299, 2023, vol. 17, no. 2, p. 113-137. https://doi.org/10.30495/JME.2023.2503., WOS

3. [1.2] LAZORENKO, O.V. – CHERNOGOR, L.F. Fractal Radiophysics. Part 2. Fractal and Multifractal Analysis Methods of Signals and Processes. In RADIO PHYSICS AND RADIO ASTRONOMY, 2023, vol. 28, no. 1, p. 5-70. ISSN 1027-9636. https://doi.org/10.15407/rpra28.01.005., SCOPUS

 

  • WITKOVSKÝ, Viktor. FindRoots (version 1.0.0.0). In MathWorks / Matlab Central, 2024. https://www.mathworks.com/matlabcentral/fileexchange/55206-findroots

WOS citations: 1

1. [1.1] GARISO, R. – BRAGA, M.E.M. – BERNARDO, F.P. Analytical solution of volatile active ingredient release and subsequent dispersion in wind tunnel. In CHEMICAL ENGINEERING SCIENCE. ISSN 0009-2509, JUL 15 2023, vol. 276. https://doi.org/10.1016/j.ces.2023.118764., WOS

 

Other publications and documents which is not possible to categorize into classes/categories mentioned above

 

  • ROŠŤÁKOVÁ, ZuzanaROSIPAL, Roman. Multilevel functional principal component analysis for unbalanced data. In 20th European Young Statisticians Meeting. – Uppsala, Sweden : Uppsala University, 2017, p. 51-57.

WOS citations: 1

1. [1.1] YAO, J.W. – XIAN, X.C. – WANG, C. Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation. In TECHNOMETRICS. ISSN 0040-1706, 2023, vol. 65, no. 3, p. 375-387. https://dx.doi.org/10.1080/00401706.2023.2166125., WOS