Citations 2024

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: 4; SCOPUS citations: 2; other citations: 4

1. [1.1] TEH, H.Y. – LAM, M.K. – CHAI, Y.H. – LIM, J.W. – WONG, V.L. – TAN, I.S. – LAU, S.Y. – CHENG, Y.W. Green synthesis of silver nanoparticles by algae: Advancements, challenges and sustainable prospects. In MATERIALS TODAY CHEMISTRY. ISSN 2468-5194, DEC 2024, vol. 42. https://doi.org/10.1016/j.mtchem.2024.102389., WOS

2. [1.1] ALMATROUDI, A. Unlocking the Potential of Silver Nanoparticles: From Synthesis to Versatile Bio-Applications. In PHARMACEUTICS. SEP 2024, vol. 16, no. 9. https://doi.org/10.3390/pharmaceutics16091232., WOS

3. [1.1] ONGTANASUP, T. – KAMDENLEK, P. – MANASPON, C. – EAWSAKUL, K. Green-synthesized silver nanoparticles from Zingiber officinale extract: antioxidant potential, biocompatibility, anti-LOX properties, and in silico analysis. In BMC COMPLEMENTARY MEDICINE AND THERAPIES. FEB 13 2024, vol. 24, no. 1. https://doi.org/10.1186/s12906-024-04381-w., WOS

4. [1.1] YUAN, W.W. – LI, M.Y. – CHEN, H.P. – LIU, G.L. – LIU, D. – CHEN, X.P. – SONG, W.W. – SU, Y.H. Preparation of porous CuS/modified-diatomite composite via a facile in situ loading process for efficient recovery of silver ion from aqueous solution. In APPLIED SURFACE SCIENCE. ISSN 0169-4332, JAN 30 2024, vol. 644. https://doi.org/10.1016/j.apsusc.2023.158753., WOS

5. [1.2] FAR, B.F. – TEHRANIAN, A. – NAHAVANDI, R. Metal-Organic Frameworks in Cardiac Regeneration. In ACS SYMPOSIUM SERIES. ISSN 0097-6156, 2024, vol. 1463, p. 201-232. https://doi.org/10.1021/bk-2024-1463.ch009., SCOPUS

6. [1.2] ELBEHIRY, F. – ELBASIOUNY, H. Status and opportunities of visible detection of heavy metal ions in irrigation water using nanomaterials. In NANOTECHNOLOGY FOR ABIOTIC STRESS TOLERANCE AND MANAGEMENT IN CROP PLANTS. 2024, p. 141-151. https://doi.org/10.1016/B978-0-443-18500-7.00009-0., SCOPUS

7. [3.1] ALAMELU, S. – VENKATESAN, K.B. – SHAGIRTHA, K. – SRINIVASAN, M.K. – PANNEERSELVAM, C. – AZIZ, A.T. – ALI ALSHEHRI, M. – SEYED, M.A. – PACHAIAPPAN, P. Breast Cancer Treatment: The Potential of Organic and Inorganic Nanocarriers in Targeted Drug Delivery. In DRUGS AND DRUG CANDIDATES. 2024, vol. 3, no. 4, p. 813-837. https://doi.org/10.3390/ddc3040046.

8. [3.1] ASHRAF, S. – NAZIR, M. – KHAN, M.H. – FAZIL, I. – AHMED, A. – FATIMA, M. – SAFDAR, M. – JUNEJO, Y. Nanotechnology in microbiology: bridging tiny worlds for big impacts. In CURRENT STUDIES IN HEALTH AND LIFE SCIENCES. 2024, p. 74-101. ISBN 78-625-6959-59-0.

9. [3.1] BARBON, F. – TAJOLI, F. – SPOLAORE, F. – GROSS, S. Further Sustainable and/or Unconventional Low-temperature Wet-chemical Synthetic Methods. In UNCONVENTIONAL GREEN SYNTHESIS OF INORGANIC NANOMATERIALS. 2024, p. 315-429. https://doi.org/10.1039/9781839165757-00315.

10. [3.1] THIMMAPPA, B.H.S. Essential nanoscience in graduate education: An outline. In AFRICAN JOURNAL OF CHEMICAL EDUCATION. 2024, vol. 14, no. 1. https://www.ajol.info/index.php/ajce/article/view/262759.

 

• 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: 2; SCOPUS citations: 4

1. [1.1] CLOTHIER, G.K.K. – GUIMARAES, T.R. – THOMPSON, S.W. – HOWARD, S.C. – MUIR, B.W. – MOAD, G. – ZETTERLUND, P.B. Streamlining the Generation of Advanced Polymer Materials Through the Marriage of Automation and Multiblock Copolymer Synthesis in Emulsion. In ANGEWANDTE CHEMIE-INTERNATIONAL EDITION. ISSN 1433-7851, JUL 22 2024, vol. 63, no. 30. https://doi.org/10.1002/anie.202320154., WOS

2. [1.1] CHUDASAMA, M. – GOYARY, J. Nanostructured materials in food science: Current progress and future prospects. In NEXT MATERIALS. OCT 2024, vol. 5. https://doi.org/10.1016/j.nxmate.2024.100206., WOS

3. [1.2] ZHANG, L. – HUANG, B. – JIN, J. – LI, Y. – GU, N. Advances in nanoprobes-based immunoassays. In BMEMat. ISSN 2751-7438, 2024, vol. 2, no. 1. https://doi.org/10.1002/bmm2.12057., SCOPUS

4. [1.2] SKINDER, B.M. – NABI, M. Non-Carbon-Based Nano-Materials Used for Environmental Pollution Remediation. In NANO-PHYTOREMEDIATION AND ENVIRONMENTAL POLLUTION: STRATEGIES AND MECHANISMS. 2024, p. 73-83. https://doi.org/10.1201/9781003186298-4., SCOPUS

5. [1.2] MANJUNATHA, V. – MAURER, S. – RAI, R. – COLUMBUS, J. Bioactive Phytochemicals in Personalized Nutrition and Health. In PLANT FOOD PHYTOCHEMICALS AND BIOACTIVE COMPOUNDS IN NUTRITION AND HEALTH. 2024, p. 576-612. https://doi.org/10.1201/9781003340201-21., SCOPUS

6. [1.2] SIVA, V. – KANNAN, S. – MURUGAN, A. – SHAMEEM, A.S. – THANGARASU, S. – RAJA, A. Evaluation of zero-dimensional buckyball-based fullerene molecules in targeted drug delivery applications in dreaded diseases. In CARBON-BASED NANOMATERIALS IN BIOSYSTEMS: BIOPHYSICAL INTERFACE AT LOWER DIMENSIONS. 2024, p. 301-330. https://doi.org/10.1016/B978-0-443-15508-6.00018-X., SCOPUS

 

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: 1

1. [1.1] SURENDRAN, V. – MADHESWARAGUPTHA, P. – RAVULA, P. – RAJAVEL, P. – PRABAHAR, A.E. Chemometrics Assisted Formulation of Glimepiride Nanosuspension for Solubility Enhancement in Diabetic Therapy-A Systematic Approach. In MACROMOLECULAR SYMPOSIA. ISSN 1022-1360, FEB 2024, vol. 413, no. 1. https://doi.org/10.1002/masy.202300114., WOS

 

Chapters in scientific monographs

 

• CAPEK, Ignác. Dispersions based on carbon nanotubes – biomolecules conjugates. In Carbon Nanotubes : Growth and Applications. – Rijeka, Croatia : InTech, 2011, p. 75-96. ISBN 978-953-307-566-2.

SCOPUS citations: 1

1. [1.2] SARKAR, S. – PAL, P. – GHOSH, N.K. Enhancing the thermal conductivity and viscosity of ethylene glycol-based single-walled carbon nanotube (SWCNT) nanofluid: An investigation utilizing equilibrium molecular dynamics simulation. In CHEMICAL THERMODYNAMICS AND THERMAL ANALYSIS. 2024, vol. 16. https://doi.org/10.1016/j.ctta.2024.100142., SCOPUS

 

• 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. Mechanical properties of ignimbrites of Tenerife Island employed as building stone and their correlation with some physical properties. In JOURNAL OF BUILDING ENGINEERING. APR 1 2024, vol. 82. https://doi.org/10.1016/j.jobe.2023.108222., 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

1. [1.1] MAO, X.W. – PECAUT, M.J. – STANBOULY, S. – NELSON, G. Oxidative stress, neuroinflammation, and the blood-brain barrier biomarkers on the brain response to spaceflight. In LIFE SCIENCES IN SPACE RESEARCH. ISSN 2214-5524, NOV 2024, vol. 43, p. 22-28. https://doi.org/10.1016/j.lssr.2024.08.001., 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: 2

1. [1.1] KALLOU, E. – PERRON, C. – BAGDATLI, B. – MAVRIS, D. Tackling the dimensionality increase in multi-level, set-based aircraft design space exploration. In AIAA SCITECH 2024 FORUM. 2024. https://doi.org/10.2514/6.2024-0048., WOS

2. [1.1] ZHAO, Z.J. – YAN, G.W. – LI, R. – XIAO, S.Y. – WANG, F. – REN, M.F. – CHENG, L. Instance transfer partial least squares for semi-supervised adaptive soft sensor. In CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. ISSN 0169-7439, FEB 15 2024, vol. 245. https://doi.org/10.1016/j.chemolab.2024.105062., WOS

3. [1.1] LI, L.Y. – PAPAIOANNOU, I. – STRAUB, D. Efficient global sensitivity analysis method for dynamic models in high dimensions. In INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING. ISSN 0029-5981, AUG 15 2024, vol. 125, no. 15. https://doi.org/10.1002/nme.7494., WOS

4. [1.1] MATULA, R. – MARUTA, M. The Emission Balance of Selected Groups of Fuels Used in Households to Generate Pollution in the Małopolskie Voivodeship. In SUSTAINABILITY. NOV 2024, vol. 16, no. 22. https://doi.org/10.3390/su16229818., WOS

5. [1.1] MIYANO, T. – HIROUCHI, M. – YOSHIMURA, N. – HATTORI, K. – MIKKAICHI, T. – KIYOSAWA, N. Plasma microRNAs Associate Positive, Negative, and Cognitive Symptoms with Inflammation in Schizophrenia. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. ISSN 1661-6596, DEC 2024, vol. 25, no. 24. https://doi.org/10.3390/ijms252413522., WOS

6. [1.2] COOK, R.D. – FORZANI, L. Partial Least Squares Regression: And Related Dimension Reduction Methods. 2024, ISBN 978-104005132-0. https://doi.org/10.1201/9781003482475., SCOPUS

7. [1.2] CAO, W. – LI, S. – ZHAO, J. Advance and Challenge of Component-Effect Relationship in the Discovery of Active Components from Chinese Medicines. In QUALITY CONTROL OF CHINESE MEDICINES: STRATEGIES AND METHODS. 2024, p. 89-155. https://doi.org/10.1007/978-981-99-9871-5_5., SCOPUS

 

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

 

• 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

Other citations: 1

1. [3.1] GUINNESS, A. – BEATON, A.A. – FRANCK, J.M. Separate and Detailed Treatment of Absolute Signal and Noise Enables NMR Under Adverse Circumstances. In arXiv, 2024, https://doi.org/10.48550/arXiv.2403.03943.

 

• 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

Other citations: 1

1. [3.1] GUINNESS, A. – BEATON, A.A. – FRANCK, J.M. Separate and Detailed Treatment of Absolute Signal and Noise Enables NMR Under Adverse Circumstances. In arXiv, 2024, https://doi.org/10.48550/arXiv.2403.03943.

 

• ANDRIS, Peter – EMERY, E.F. – FROLLO, Ivan. Analysis of NMR spectrometer receiver noise figure. In Mathematical Problems in Engineering, 2019, vol. 2019, art. no. 1083706. (2018: 1.179 – IF, Q3 – JCR, 0.270 – SJR, Q2 – SJR). ISSN 1024-123X. https://doi.org/10.1155/2019/1083706

Other citations: 1

1. [3.1] GUINNESS, A. – BEATON, A.A. – FRANCK, J.M. Separate and Detailed Treatment of Absolute Signal and Noise Enables NMR Under Adverse Circumstances. In arXiv, 2024, https://doi.org/10.48550/arXiv.2403.03943.

 

• 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: 5

1. [1.1] CHEN, X. – YOU, M.K. – LIAO, K. – ZHANG, M.Q. – WANG, L.C. – ZHOU, K. – CHEN, G. – LI, J. Quantitative Magnetic Resonance Imaging Had Greater Sensitivity in Diagnosing Chondral Lesions of the Knee: A Systematic Review and Meta-analysis. In ARTHROSCOPY-THE JOURNAL OF ARTHROSCOPIC AND RELATED SURGERY. ISSN 0749-8063, NOV 2024, vol. 40, no. 11. https://doi.org/10.1016/j.arthro.2024.01.035., WOS

2. [1.1] SAKAI, T. – YONEYAMA, M. – ZHANG, S. – KITSUKAWA, K. – YOKOTA, H. – ICHIKAWA, R. – AOKI, Y. – WATANABE, A. – SATO, Y. – YANAGAWA, N. – MURAYAMA, D. – ITO, H. – OCHI, S. – MIYATI, T. Clinical evaluation of 3D high-resolution isotropic knee MRI using Multi-Interleaved X-prepared TSE with inTUitive RElaxometry (MIXTURE) for simultaneous morphology and T2 mapping. In EUROPEAN JOURNAL OF RADIOLOGY. ISSN 0720-048X, AUG 2024, vol. 177. https://doi.org/10.1016/j.ejrad.2024.111579., WOS

3. [1.1] ZHANG, Y. – DENG, C.H. – XIA, W. – RAN, J. – LI, X.M. Quantitative Evaluation of Knee Cartilage in Professional Martial Arts Athletes Using T2 Mapping: A Comparative Study. In JOURNAL OF ATHLETIC TRAINING. ISSN 1062-6050, OCT 2024, vol. 59, no. 10, p. 1012-1018. https://doi.org/10.4085/1062-6050-0127.23., WOS

4. [1.1] MOSTAFA, A. – MOHAMED, A.M. – OSMAN, A.M. – EL DIN, N.M.H. The value of adding T2 mapping sequence to the routine MRI protocol in the evaluation of cartilage lesions of the ankle joint. In EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE. APR 4 2024, vol. 55, no. 1. https://doi.org/10.1186/s43055-024-01245-8., WOS

5. [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, 2024, vol. 33. https://doi.org/10.1177/09636897241303275., 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

WOS citations: 2

1. [1.1] GAO, S. – PENG, C.B. – WANG, G. – DENG, C.B. – ZHANG, Z. – LIU, X.Y. Cartilage T2 mapping-based radiomics in knee osteoarthritis research: Status, progress and future outlook. In EUROPEAN JOURNAL OF RADIOLOGY. ISSN 0720-048X, DEC 2024, vol. 181. https://doi.org/10.1016/j.ejrad.2024.111826., WOS

2. [1.1] LöFFLER, M.T. – AKKAYA, Z. – BHATTACHARJEE, R. – LINK, T.M. Biomarkers of Cartilage Composition. In SEMINARS IN MUSCULOSKELETAL RADIOLOGY. ISSN 1089-7860, FEB 2024, vol. 28, no. 01, p. 26-38. https://doi.org/10.1055/s-0043-1776429., 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: 1

1. [1.1] LOPEZ-SCHENK, R. – COLLINS, N.L. – SCHENK, N.A. – BEARD, D.A. Integrated Functions of Cardiac Energetics, Mechanics, and Purine Nucleotide Metabolism. In COMPREHENSIVE PHYSIOLOGY. ISSN 2040-4603, JAN 2024, vol. 14, no. 1, p. 5345-5369. https://doi.org/10.1002/cphy.c230011., WOS

 

• ARENDACKÁ, Barbora. Generalized confidence intervals on the variance component in mixed linear models with two variance components. In Statistics, 2005, vol. 39, no. 4, p. 275-286. (2004: 0.323 – IF). ISSN 0233-1888.

SCOPUS citations: 1

1. [1.2] YE, R. – LUO, K. – ZHU, W. – QI, Y. Skew-Normal Model Theories and Their Applications. In SKEW-NORMAL MODEL THEORIES AND THEIR APPLICATIONS. 2024, ISBN 978-104015538-7. https://doi.org/10.1201/9781032711478., SCOPUS

 

• BACHAROVA, L. – SZATHMÁRY, V. – ŠVEHLÍKOVÁ, Jana – MATEASIK, A. – GYHAGEN, J. – TYŠLER, Milan. The effect of conduction velocity slowing in left ventricular midwall on the QRS complex morphology: A simulation study. In Journal of Electrocardiology, 2016, vol. 49, no. 2, p. 164-170. (2015: 1.290 – IF, Q4 – JCR, 0.559 – SJR, Q2 – SJR). ISSN 0022-0736. https://doi.org/10.1016/j.jelectrocard.2015.12.009

WOS citations: 1

1. [1.1] REVATHI, J. – ANITHA, J. Hybrid LSTM models-based detection of left ventricular hypertrophy in electrocardiogram signals. In INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS. ISSN 1872-4981, 2024, vol. 18, no. 3, p. 2621-2641. https://doi.org/10.3233/IDT-240649., WOS

 

• BACHAROVA, L. – CHEVALIER, P. – GORENEK, B. – JONS, C. – LI, Y.-G. – LOCATI, E.T. – MAANJA, M. – PÉREZ-RIERA, A.R. – PLATONOV, P.G. – RIBEIRO, A.L.P. – SCHOCKEN, D. – SOLIMAN, E.Z. – ŠVEHLÍKOVÁ, Jana – TERESHCHENKO, L.G. – UGANDER, M. – VARMA, N. – ZAKLYAZMINSKAYA, E. – IKEDA, T. ISE/ISHNE expert consensus statement on ECG diagnosis of left ventricular hypertrophy: The change of the paradigm. The joint paper of the International Society of Electrocardiology and the International Society for Holter Monitoring and Noninvasive Electrocardiology. In Journal of Electrocardiology, 2023, vol. 81, p. 85-93. (2022: 1.3 – IF, Q4 – JCR, 0.417 – SJR, Q3 – SJR). ISSN 0022-0736. https://doi.org/10.1016/j.jelectrocard.2023.08.005

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

1. [1.1] ABIODUN, O.O. – ANYA, T. – ADEKANMBI, V.T. Electrocardiographic Abnormalities in Nigerian Hypertensives With Echocardiographic Left Ventricular Hypertrophy. In CUREUS JOURNAL OF MEDICAL SCIENCE. MAY 12 2024, vol. 16, no. 5. https://doi.org/10.7759/cureus.60170., WOS

2. [1.2] TARADIN, G.G. – RAKITSKAYA, I.V. – PRIKOLOTA, A.V. – MONOGAROVA, N.E. – BAGRIY, V.A. – MARTYNENKO, A.Y. Significant regression of left ventricular hypertrophy in patient with arterial hypertension during antihypertensive treatment with perindopril and atorvastatin. In MEDITSINSKIY SOVET. ISSN 2079-701X, 2024, vol. 18, no. 16, p. 20-26. https://doi.org/10.21518/ms2024-436., SCOPUS

3. [3.1] GUPTA, A. – HARVEY, C.J. – DEBAUGE, A. – SHOMAJI, S. – YAO, Z. – NOHERIA, A. Machine learning to classify left ventricular hypertrophy using ECG feature extraction by variational autoencoder. In medRxiv, 2024, https://doi.org/10.1101/2024.10.14.24315460.

4. [3.1] SOBOLEV, A.V. – BLINOVA, E.V. – SAKHNOVA, T.A. – DROZDOV, D.V. Electrocardiography in pulmonary hypertension: search for new diagnostic possibilities (literature review). In MEDICAL ALPHABET. 2024, vol. 30, p. 28-35. https://doi.org/10.33667/2078-5631-2024-30-28-35.

 

• 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: 76; SCOPUS citations: 10; other citations: 5

1. [1.1] MITANI, R. – YAMANAKA, H. – ISHIGAKI, Y. – NAKAYAMA, D. – SAKAMOTO, M. – WATANABE, C. – MORI, T. – OKUDA, T. Microbiostatic effect of indoor air quality management with low-concentration gaseous chlorine dioxide on fungal growth. In ASIAN JOURNAL OF ATMOSPHERIC ENVIRONMENT. ISSN 1976-6912, DEC 19 2024, vol. 18, no. 1. https://doi.org/10.1007/s44273-024-00047-8., WOS

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• ZARIC, O. – BEIGLBÖCK, H. – JANACOVA, V. – SZOMOLÁNYI, Pavol – WOLF, P. – KREBS, M. – TRATTNIG, S. – KRŠŠÁK, M. – JURAS, V. Repeatability assessment of sodium (23Na) MRI at 7.0 T in healthy human calf muscle and preliminary results on tissue sodium concentrations in subjects with Addison’s disease. In BMC Musculoskeletal Disorders, 2022, vol. 23, art. no. 925. (2021: 2.562 – IF, Q3 – JCR, 0.669 – SJR, Q2 – SJR). ISSN 1471-2474. https://doi.org/10.1186/s12891-022-05879-5

WOS citations: 3

1. [1.1] LICHT, C. – REICHERT, S. – GUYE, M. – SCHAD, L.R. – RAPACCHI, S. Multidimensional compressed sensing to advance SUP23/SUPNa multi-quantum coherences MRI. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, MAR 2024, vol. 91, no. 3, p. 926-941. https://doi.org/10.1002/mrm.29902., WOS

2. [1.1] LICHT, C. – REICHERT, S. – BYDDER, M. – ZAPP, J. – CORELLA, S. – GUYE, M. – ZöLLNER, F.G. – SCHAD, L.R. – RAPACCHI, S. Low-rank reconstruction for simultaneous double half-echo SUP23/SUPNa and undersampled SUP23/SUPNa multi-quantum coherences MRI. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, OCT 2024, vol. 92, no. 4, p. 1440-1455. https://doi.org/10.1002/mrm.30132., WOS

3. [1.1] GERHALTER, T. – SCHILLING, F. – ZEITOUNI, N. – LINZ, P. – BAUDIN, P.Y. – KANNENKERIL, D. – KOPP, C. – DAHLMANN, A. – SCHMIEDER, R. – UDER, M. – NAGEL, A.M. – GAST, L.V. Sodium quantification in skeletal muscle: comparison between Cartesian gradient-echo and radial ultra-short echo time SUP23/SUPNa MRI techniques. In EUROPEAN RADIOLOGY EXPERIMENTAL. MAY 22 2024, vol. 8, no. 1. https://doi.org/10.1186/s41747-024-00461-1., WOS

 

• 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: 2; SCOPUS citations: 1

1. [1.1] BUTLER, J.J. – WINGO, T. – KENNEDY, J.G. Presurgical and Postsurgical MRI Evaluation of Osteochondral Lesions of the Foot and Ankle: A Primer. In CLINICS IN PODIATRIC MEDICINE AND SURGERY. ISSN 0891-8422, OCT 2024, vol. 41, no. 4, p. 759-773. https://doi.org/10.1016/j.cpm.2024.04.008., WOS

2. [1.1] LUO, P. – LU, L. – XU, R. – JIANG, L. – LI, G.W. Gaining Insight into Updated MR Imaging for Quantitative Assessment of Cartilage Injury in Knee Osteoarthritis. In CURRENT RHEUMATOLOGY REPORTS. ISSN 1523-3774, SEP 2024, vol. 26, no. 9, p. 311-320. https://doi.org/10.1007/s11926-024-01152-x., WOS

3. [1.2] HONG, G. – LI, S. Development and future prospects of arthritis imaging. In CHINESE JOURNAL OF RADIOLOGY. ISSN 1005-1201, 2024, vol. 58, no. 11, p. 1286-1291. https://doi.org/10.3760/cma.j.cn112149-20240715-00407., SCOPUS

 

• 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

WOS citations: 4; SCOPUS citations: 1

1. [1.1] ALBANO, D. – VIGLINO, U. – ESPOSITO, F. – RIZZO, A. – MESSINA, C. – GITTO, S. – FUSCO, S. – SERPI, F. – KAMP, B. – MüLLER-LUTZ, A. – D’AMBROSI, R. – SCONFIENZA, L.M. – SEWERIN, P. Quantitative and Compositional MRI of the Articular Cartilage: A Narrative Review. In TOMOGRAPHY. ISSN 2379-1381, JUL 2024, vol. 10, no. 7, p. 949-969. https://doi.org/10.3390/tomography10070072., WOS

2. [1.1] CASULA, V. – KAJABI, A.W. Quantitative MRI methods for the assessment of structure, composition, and function of musculoskeletal tissues in basic research and preclinical applications. In MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE. ISSN 1352-8661, DEC 2024, vol. 37, no. 6, p. 949-967. https://doi.org/10.1007/s10334-024-01174-7., WOS

3. [1.1] LI, Y.Q. – TANG, Y. – WANG, Z.Y. – ZHENG, G. – CHEN, Y.H. – LIAO, Y.T. – YUAN, C.S. – CHEN, W. Improved Results From Medium- and Long-Term Outcomes of Autogenous Osteoperiosteal Grafting for Large Cystic Lesions of the Talus. In ARTHROSCOPY-THE JOURNAL OF ARTHROSCOPIC AND RELATED SURGERY. ISSN 0749-8063, MAY 2024, vol. 40, no. 5, p. 1613-1622. https://doi.org/10.1016/j.arthro.2023.09.022., WOS

4. [1.1] LöFFLER, M.T. – AKKAYA, Z. – BHATTACHARJEE, R. – LINK, T.M. Biomarkers of Cartilage Composition. In SEMINARS IN MUSCULOSKELETAL RADIOLOGY. ISSN 1089-7860, FEB 2024, vol. 28, no. 01, p. 26-38. https://doi.org/10.1055/s-0043-1776429., WOS

5. [1.2] JANG, H. – SHIN, S.H. – CARL, M. – MA, Y. – DU, J. Ramped Hybrid Encoding. In MRI OF SHORT- AND ULTRASHORT-T2 TISSUES: MAKING THE INVISIBLE VISIBLE. 2024, p. 77-90. https://doi.org/10.1007/978-3-031-35197-6_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

WOS citations: 4

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, JUN 2024, vol. 59, no. 6, p. 1902-1913. https://doi.org/10.1002/jmri.29019., WOS

2. [1.1] SUO, J.L. – GAN, Y.B. – XIE, Y.L. – XU, S.Q. – WANG, J.F. – CHEN, D. – CHEN, L. – DENG, L.F. – FENG, S.Q. – HAN, J.J. – JIANG, Q. – LEI, G.H. – LIU, P. – LUO, X.H. – MA, X. – QU, J. – SONG, C.L. – TANG, P.F. – TANG, T.T. – WANG, S.J. – WEI, X.C. – WU, C.T. – XIAO, G.Z. – YANG, L. – ZHANG, L.C. – ZHANG, W.Q. – ZHANG, Z.L. – LIU, G.H. – ZHANG, C.Q. – PEI, G. – LUO, J. – YUE, R. – ZOU, W.G. A framework of biomarkers for skeletal aging: a consensus statement by the Aging Biomarker Consortium. In LIFE MEDICINE. JAN 17 2024, vol. 2, no. 6. https://doi.org/10.1093/lifemedi/lnad045., WOS

3. [1.1] LöFFLER, M.T. – AKKAYA, Z. – BHATTACHARJEE, R. – LINK, T.M. Biomarkers of Cartilage Composition. In SEMINARS IN MUSCULOSKELETAL RADIOLOGY. ISSN 1089-7860, FEB 2024, vol. 28, no. 01, p. 26-38. https://doi.org/10.1055/s-0043-1776429., WOS

4. [1.1] LUO, P. – LU, L. – XU, R. – JIANG, L. – LI, G.W. Gaining Insight into Updated MR Imaging for Quantitative Assessment of Cartilage Injury in Knee Osteoarthritis. In CURRENT RHEUMATOLOGY REPORTS. ISSN 1523-3774, SEP 2024, vol. 26, no. 9, p. 311-320. https://doi.org/10.1007/s11926-024-01152-x., WOS

 

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

 

• BAČIAK, L. – MELICHERCIK, L. – MATÉ, V. – MURGOCI, A. – SMOLEK, T. – JURÁNEK, I. – GOGOLA, Daniel – HUDÁKOVÁ, N. – ČÍŽEK, M. – ČÍŽKOVÁ, D. Improved tissue integrity after alginate treatment in rat spinal cord injury: evidence from ex vivo diffusion tensor imaging. In General Physiology and Biophysics, 2021, vol. 40, no. 6, p. 561-568. (2020: 1.512 – IF, Q4 – JCR, 0.376 – SJR, Q3 – SJR). ISSN 0231-5882. https://doi.org/10.4149/gpb_2021030

WOS citations: 1

1. [1.1] MIHAILOVIC, J.M. – SANGANAHALLI, B.G. – HYDER, F. – CHITTURI, J. – ELKABES, S. – HEARY, R.F. – KANNURPATTI, S.S. Cross-hemicord spinal fiber reorganization associates with cortical sensory and motor network expansion in the rat model of hemicontusion cervical spinal cord injury. In NEUROSCIENCE LETTERS, 2024, vol. 820. ISSN 0304-3940. https://doi.org/10.1016/j.neulet.2023.137607., WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, Anna – FROLLO, Ivan. Analysis of heart pulse transmission parameters determined from multi-channel PPG signals acquired by a wearable optical sensor. In Measurement Science Review, 2023, vol. 23, no. 5, p. 217-226. (2022: 0.9 – IF, Q4 – JCR, 0.306 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2023-0028

WOS citations: 2

1. [1.1] GLADIS, K.P.A. – AHILAN, A. – MUTHUKUMARAN, N. – JENIFER, L. ECG Arrhythmia Measurement and Classification for Portable Monitoring. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, AUG 1 2024, vol. 24, no. 4, p. 118-128. https://doi.org/10.2478/msr-2024-0017., WOS

2. [1.1] MARTINCEK, I. – TARJANYIOVA, G. Optical Fiber Fabry-Perot Interferometer for Arterial Pulse Waveform Measurement. In IEEE SENSORS JOURNAL. ISSN 1530-437X, AUG 15 2024, vol. 24, no. 16, p. 25742-25747. https://doi.org/10.1109/JSEN.2024.3418456., WOS

 

• 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

SCOPUS citations: 1

1. [1.2] SATHISHKUMAR, R. – GOVINDARAJAN, M. – DHIVYASRI, R. Detection and Classification of Neuro-Degenerative Disease via EfficientNetB7. In LECTURE NOTES IN NETWORKS AND SYSTEMS. ISSN 2367-3370, 2024, vol. 915, p. 223-234. https://doi.org/10.1007/978-981-97-0700-3_17., SCOPUS

 

• 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

WOS citations: 1

1. [1.1] OGAWA, K. – HIRATA, A. Source Localization and Classification of Pulmonary Valve-Originated Electrocardiograms Using Volume Conductor Modeling with Anatomical Models. In BIOSENSORS-BASEL. OCT 2024, vol. 14, no. 10. https://doi.org/10.3390/bios14100513., WOS

 

• TVRDÍK, T. – MELICHERČÍK, Ľ. – ŠEBEKOVÁ, K. – SZABÓ, J. – MAKOVÁ, M. – GOGOLA, Daniel – KAŠPAROVÁ, S. In vivo volumetric, DTI and 1H MRS rat brain protocol for monitoring early neurodegeneration and efficacy of the used therapy. In Measurement Science Review, 2023, vol. 23, no. 5, p. 237-247. (2022: 0.9 – IF, Q4 – JCR, 0.306 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2023-0030

SCOPUS citations: 1

1. [1.2] PRIOR, M.J.W. NMR in living systems. In NUCLEAR MAGNETIC RESONANCE. ISSN 0305-9804, 2024, vol. 50, p. 251-269. https://doi.org/10.1039/9781837675630-00231., SCOPUS

 

• 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: 3

1. [1.1] ZHANG, J.M. – CHEN, L. – LUO, C.H. Cockroach Clypeblattula panda gen. et sp. n. (Blattaria: Blattulidae) from the Lower Cretaceous Laiyang Formation of China. In CRETACEOUS RESEARCH. ISSN 0195-6671, AUG 2024, vol. 160. https://doi.org/10.1016/j.cretres.2024.105907., WOS

2. [1.1] SENDI, H. Vitisma coriacea sp.n. (Insecta: Dictyoptera) from the mid-Cretaceous in northern Myanmar, first record of the genus in amber. In ZOOTAXA. ISSN 1175-5326, APR 12 2024, vol. 5437, no. 2, p. 294-300. https://doi.org/10.11646/zootaxa.5437.2.8., WOS

3. [1.1] SENDI, H. Nigropterix cummingi sp. n., an umenocoleid (Insecta: Dictyoptera) from mid-Cretaceous northern Myanmar amber. In ZOOTAXA. ISSN 1175-5326, MAR 15 2024, vol. 5424, no. 4, p. 476-482. https://doi.org/10.11646/zootaxa.5424.4.6., WOS

 

• 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

WOS citations: 1

1. [1.1] MALEK, M.T. – KOCZYK, H. Influence of Temperature Sensor (PT100) Accuracy on the Interpretation of Experimental Results of Measuring Temperature on the Surface. In CIVIL AND ENVIRONMENTAL ENGINEERING REPORTS. ISSN 2080-5187, DEC 2024, vol. 34, no. 4, p. 1-21. https://doi.org/10.59440/ceer/192146., WOS

 

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

WOS citations: 1

1. [1.1] CHEN, T.Z. – GE, Y.L. – CHU, B.W. – ZHANG, P. – MA, Q.X. – HE, H. Applications of environmental mass spectrometry in atmospheric haze chemistry. In TRAC-TRENDS IN ANALYTICAL CHEMISTRY. ISSN 0165-9936, MAR 2024, vol. 172. https://doi.org/10.1016/j.trac.2024.117614., 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: 1; other citations: 6

1. [1.1] HU, W.B. – BIAN, G.B. – HUANG, L.F. – PI, Y. – ZHANG, X.B. – ZHANG, X.Y. – DE ALBUQUERQUE, V.H.C. – WU, W.Q. Constructing Bodily Emotion Maps Based on High-Density Body Surface Potentials for Psychophysiological Computing. In IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. ISSN 2168-2194, MAY 2024, vol. 28, no. 5, p. 2500-2511. https://doi.org/10.1109/JBHI.2023.3339382., WOS

2. [1.1] NOHERIA, A. – SHAHAB, A. – ANDREWS, C. – CUCULICH, P.S. – RUDY, Y. Pilot study to evaluate left-to-right ventricular offset in biventricular pacing-comparison of electrocardiographic imaging and ECG. In JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY. ISSN 1045-3873, JUN 2024, vol. 35, no. 6, p. 1185-1195. https://doi.org/10.1111/jce.16272., WOS

3. [1.1] RAN, A. – CHENG, L.S. – XIE, S.T. – LIU, M.Q. – PU, C.L. – HU, H.J. – LIU, H.F. Nonlocal based FISTA network for noninvasive cardiac transmembrane potential imaging. In PHYSICS IN MEDICINE AND BIOLOGY. ISSN 0031-9155, APR 7 2024, vol. 69, no. 7. https://doi.org/10.1088/1361-6560/ad2e6d., WOS

4. [1.1] GOLDIE, F.C. – LEE, M.M.Y. – COATS, C.J. – NORDIN, S. Advances in Multi-Modality Imaging in Hypertrophic Cardiomyopathy. In JOURNAL OF CLINICAL MEDICINE. FEB 2024, vol. 13, no. 3. https://doi.org/10.3390/jcm13030842., WOS

5. [1.1] SHU, Y. – SMITH, T.G. – ARUNACHALAM, S.P. – TOLKACHEVA, E.G. – CHENG, C.Q. Image-Decomposition-Enhanced Deep Learning for Detection of Rotor Cores in Cardiac Fibrillation. In IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. ISSN 0018-9294, JAN 2024, vol. 71, no. 1, p. 68-76. https://doi.org/10.1109/TBME.2023.3292383., WOS

6. [1.2] ALZAKI, A.N.A. – AL-TAMIMI, M.S.H. An analytical study on the most important methods and data sets used to identify people through ECG: review. In JOURNAL OF APPLIED ENGINEERING AND TECHNOLOGICAL SCIENCE. ISSN 2715-6087, 2024, vol. 5, no. 2, p. 842-859. https://doi.org/10.37385/jaets.v5i2.3992., SCOPUS

7. [3.1] BAZHUTINA, A. – KHAMZIN, S. – SINITCA, A. – CHMELEVSKY, M. – BUDANOVA, M. – DOKUCHAEV, A. – APARINA, O. – RIMSKAYA, E. – STUKALOVA, O. – TERNOVOY, S. – GOLITSYN, S. Assessment of 12-lead ECG-based Noninvasive Electro-Anatomical Mapping Accuracy: Incorporating Fibrosis Data in Advanced Computational Algorithms. In COMPUTING IN CARDIOLOGY. ISSN 2325-887X, 2024, vol. 51. https://doi.org/10.22489/CinC.2024.342.

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9. [3.1] QUADROS, A. – NEVES, T. – SILVA, V. – SANDOVAL, I. – PAREDES, J. – UZELAC, I. – PACHON, J. – SALINET, J. An Experimental Rabbit Torso-tank Setup for Cardiac Rhythms Investigation Using ECGi. In COMPUTING IN CARDIOLOGY. ISSN 2325-887X, 2024, vol. 51. https://doi.org/10.22489/CinC.2024.217.

10. [3.1] KHAMZIN, S. – ZUBAREV, S. – BAZHUTINA, A. – BUDANOVA, M. – DOKUCHAEV, A. – SINITCA, A. – CHMELEVSKY, M. Impact of CRT Device Settings on Interventricular Dyssynchrony: An Analysis Using Non-Invasive Activation Map Reconstruction. In COMPUTING IN CARDIOLOGY. ISSN 2325-887X, 2024, vol. 51. https://doi.org/10.22489/CinC.2024.353.

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12. [3.1] 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 arXiv, 2024, https://doi.org/10.48550/arXiv.2408.11573.

 

• 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

WOS citations: 1

1. [1.1] GUO, Y.F. – YOUNG, D.S. Approximate tolerance intervals for nonparametric regression models. In JOURNAL OF NONPARAMETRIC STATISTICS. ISSN 1048-5252, JAN 2 2024, vol. 36, no. 1, SI, p. 212-239. https://doi.org/10.1080/10485252.2023.2277260., WOS

 

• JURAS, V. – SZOMOLÁNYI, Pavol – JANACOVA, V. – KIRNER, A. – ANGELE, P. – TRATTNIG, S. Differentiation of cartilage repair techniques using texture analysis from T2 maps. In Cartilage, 2021, vol. 13, suppl. 1, p. 718S-728S. (2020: 4.634 – IF, Q1 – JCR, 0.705 – SJR, Q2 – SJR). ISSN 1947-6035. https://doi.org/10.1177/19476035211029698

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

 

• ANDRIS, Peter – FROLLO, Ivan. Optimisation of NMR coils by genetic algorithms. In Measurement Science Review, 2002, vol. 2, p. 13-22. ISSN 1335-8871.

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• BARTL, Ján – FÍRA, R. – JACKO, Vlado. Tuning of the laser diode. In Measurement Science Review, 2002, vol. 2, p. 9-15. ISSN 1335-8871.

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• BARTL, Ján – BARÁNEK, 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.

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• FROLLO, Ivan – ANDRIS, Peter – STROLKA, Igor. Measuring method and magnetic field homogeneity optimisation for magnets used in NMR-imaging. In Measurement Science Review, 2001, vol. 1, p. 9-12. ISSN 1335-8871.

WOS citations: 1; SCOPUS citations: 1

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• HAIN, Miroslav – BARTL, Ján – JACKO, Vlado. Multispectral analysis of cultural heritage artefacts. In Measurement Science Review, 2003, vol. 3, p. 9-12. ISSN 1335-8871.

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

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4. [3.1] HAN, W. – JIANG, Z. – YIN, W. – ZHOU, L. Classifying Chaotic Time Series with Siamese Large Kernel Convolutional Support Vector Machines. In SSRN, 2024, https://dx.doi.org/10.2139/ssrn.4957997.

 

• ŠRÁMEK, Miloš – WRBKA, T. Watershed based image segmentation – An effective tool for detecting landscape structure. In 6th International Workshop on Digital Image Processing and Computer Graphics (DIP-97): Applications in Humanities and Natural Sciences. Proceedings of SPIE 3346. – SPIE, 1997, p. 227-235.

SCOPUS citations: 1

1. [1.2] TILTON, J.C. – AKSOY, S. – TARABALKA, Y. Image Segmentation Algorithms for Land Categorization. In REMOTE SENSING HANDBOOK: IMAGE PROCESSING, CHANGE DETECTION, GIS, AND SPATIAL DATA ANALYSIS, SECOND EDITION. 2024, vol. 2, p. 196-232. https://doi.org/10.1201/9781003541158-11., SCOPUS

 

• 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.

Other citations: 1

1. [3.1] LIU, Q. – LIU, W. – PENG, L. – QIN, G. Uncertainty Comparison Between Value-at-Risk and Expected Shortfall. In COMMUNICATIONS IN MATHEMATICAL RESEARCH. 2024, vol. 40, no. 1, p. 102–124. http://dx.doi.org/10.4208/cmr.2022-0071.

 

Scientific papers in domestic peer-reviewed proceedings, monographs

 

• PIGOŠOVÁ, Jana – CIGÁŇ, Alexander – MAŇKA, Ján. Thermal synthesis of bismuth-doped yttrium iron garnet for magneto-optical imaging. In MEASUREMENT 2007 : 6th International Conference on Measurement. Editors I. Frollo, J. Maňka, V. Juráš. – Bratislava : Institute of Measurement Science, SAS, 2007, p. 181-184. ISBN 80-969672-0-9.

WOS citations: 1

1. [1.1] HAZAM, R. – MAITY, M. – VERMA, S. – SINGH, R. – BHOI, B. Exploring bismuth-substituted yttrium iron garnet: Insights into structural, optical, and dielectric characteristics. In CHEMICAL PHYSICS IMPACT. ISSN 2667-0224, DEC 2024, vol. 9. https://doi.org/10.1016/j.chphi.2024.100671., WOS

 

• PŘIBIL, Jiří – ZAŤKO, B. – FROLLO, Ivan – DUBECKÝ, F. – JURÁŠ, Vladimír. Experiments with application of image reconstruction method based on perspective imaging techniques in x-ray CT mini system. In Proceedings of IWSSIP 2008 : 15th International Conference on Systems, Signals and Image Processing. Editors G. Rozinaj, J. Čepko, P. Trúchly, J. Vrabec, J. Vojtko. – Bratislava : Slovak University of Technology in Publishing House STU, 2008, p. 33-36. ISBN 978-80-227-2856-0. https://doi.org/10.1109/IWSSIP.2008.4604360

WOS citations: 1

1. [1.1] WANG, X. – DONG, B.Q. – FENG, X. – HONG, S.X. – HUANG, X.M. Beam-hardening correction method for quantifying moisture content in cement paste based on X-ray radiography. In CONSTRUCTION AND BUILDING MATERIALS. ISSN 0950-0618, MAR 29 2024, vol. 421. https://doi.org/10.1016/j.conbuildmat.2024.135742., WOS

 

Published papers from foreign scientific conferences

 

• BAJLA, Ivan – MARUŠIAK, Miloš – ŠRÁMEK, Miloš. Anisotropic filtering of MRI data based upon image gradient histogram. In Computer Analysis of Images and Patterns (CAIP ’93) : 5th International Conference. – Berlin : Springer Verlag, 1993, p. 90-97.

WOS citations: 1

1. [1.1] ROSA, S. – VASCONCELOS, V. – CARIDADE, P.J.S.B. Evaluating the Impact of Filtering Techniques on Deep Learning-Based Brain Tumour Segmentation. In COMPUTERS. ISSN 2073-431X, SEP 2024, vol. 13, no. 9. https://doi.org/10.3390/computers13090237., WOS

 

• 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: 1; SCOPUS citations: 1

1. [1.1] BARANYI, P. – BERKI, B. – CSAPó, A. Concepts of Cognitive Infocommunications. In INFOCOMMUNICATIONS JOURNAL. ISSN 2061-2079, 2024, SI, p. 37-48. https://doi.org/10.36244/ICJ.2024.5.5., WOS

2. [1.2] GUZSVINECZ, T. – SZUCS, J. – PERGE, E. Towards Understanding Exocentric Distance Estimation Skills of University Students in Virtual Reality. In 2024 IEEE 22ND WORLD SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS. 2024, p. 481-486. https://doi.org/10.1109/SAMI60510.2024.10432814., SCOPUS

 

Published papers from domestic scientific conferences

 

• KRAKOVSKÁ, Anna – BUDÁČOVÁ, Hana. Interdependence measure based on correlation dimension. In MEASUREMENT 2013 : 9th International Conference on Measurement. Editors J. Maňka, M. Tyšler, V. Witkovský, I. Frollo. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2013, p. 31-34. ISBN 978-80-969-672-5-4.

WOS citations: 1

1. [1.1] USTA, ÖC – BOLLT, E.M. Fractal Conditional Correlation Dimension Infers Complex Causal Networks. In ENTROPY. DEC 2024, vol. 26, no. 12. https://doi.org/10.3390/e26121030., WOS

 

• ŠKOVIERA, Radoslav – BAJLA, Ivan. Image classification based on hierarchical temporal memory and color features. In MEASUREMENT 2013 : 9th International Conference on Measurement. Editors J. Maňka, M. Tyšler, V. Witkovský, I. Frollo. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2013, p. 63-66. ISBN 978-80-969-672-5-4.

WOS citations: 1

1. [1.1] LIU, Y.Q. – CHEN, J.P. – ZHOU, F.J. – ZHAN, J.W. – XU, W.L. – YAN, J.H. Delineating homogeneous domains of fractured rocks using topological manifolds and deep learning. In JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING. ISSN 1674-7755, AUG 2024, vol. 16, no. 8. https://doi.org/10.1016/j.jrmge.2023.10.0101674-7755., WOS

 

Abstracts of scientific papers published in foreign impacted journals registered in Web of Science Core Collection or Scopus

 

• JURAS, V. – TOEGEL, S. – HAGER, B. – SCHREINER, M. – JANACOVA, V. – HEULE, R. – LAURENT, D. – SAXER, F. – BIERI, O. – RAITHEL, E. – SZOMOLÁNYI, Pavol – FUCHSSTEINER, C. – WENINGER, W.J. – WINDHAGER, R. – TRATTNIG, S. Histological validation of the textural features from quantitative MRI for determination of cartilage degeneration. In Osteoarthritis and Cartilage, 2023, vol. 31, suppl. 1, p. S40-S42. (2022: 7 – IF, Q1 – JCR, 1.863 – SJR, Q1 – SJR). ISSN 1063-4584. https://doi.org/10.1016/j.joca.2023.01.532

WOS citations: 1

1. [1.1] GIRONDI, C.M. – LOPES, S.L.P.D. – OGAWA, C.M. – BRAZ-SILVA, P.H. – COSTA, A.L.F. Texture Analysis of Temporomandibular Joint Disc Changes Associated with Effusion Using Magnetic Resonance Images. In DENTISTRY JOURNAL. MAR 2024, vol. 12, no. 3. https://doi.org/10.3390/dj12030082., WOS

 

Works published on the internet

 

• KRAKOVSKÁ, Anna – JAKUBÍK, Jozef – BUDÁČOVÁ, Hana – HOLECYOVÁ, 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: 2

1. [1.1] LU, Z. – WEI, J.X. – YANG, X.F. Effects of hydraulic conductivity on simulating groundwater-land surface interactions over a typical endorheic river basin. In JOURNAL OF HYDROLOGY. ISSN 0022-1694, JUL 2024, vol. 638. https://doi.org/10.1016/j.jhydrol.2024.131542., WOS

2. [1.1] USTA, ÖC – BOLLT, E.M. Fractal Conditional Correlation Dimension Infers Complex Causal Networks. In ENTROPY. DEC 2024, vol. 26, no. 12. https://doi.org/10.3390/e26121030., WOS

 

• 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: 1; SCOPUS citations: 1

1. [1.1] DENIER, N. – GRIEDER, M. – JANN, K. – BREIT, S. – MERTSE, N. – WALTHER, S. – SORAVIA, L.M. – MEYER, A. – FEDERSPIEL, A. – WIEST, R. – BRACHT, T. Analyzing fractal dimension in electroconvulsive therapy: Unraveling complexity in structural and functional neuroimaging. In NEUROIMAGE. ISSN 1053-8119, AUG 15 2024, vol. 297. https://doi.org/10.1016/j.neuroimage.2024.120671., WOS

2. [1.2] WOLFSON, S.S. – KIRK, I. – WALDIE, K. – KING, C. EEG Complexity Analysis of Brain States, Tasks and ASD Risk. In ADVANCES IN NEUROBIOLOGY. ISSN 2190-5215, 2024, vol. 36, p. 733-759. https://doi.org/10.1007/978-3-031-47606-8_37., SCOPUS

 

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

Other citations: 1

1. [3.1] HANČ, J. – HANČOVÁ, M. – BOROVSKÝ, D. Probability distributions and calculations for Hake’s ratio statistics in measuring effect size. In arXiv, 2024, https://doi.org/10.48550/arXiv.2411.12938