Citations in 2021 (+ supplement to 2020)

Scientific monographs

 

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

WOS citations: 11; SCOPUS citations: 1

  1. [1.1] BUONERBA, A. – GRASSI, A. Trends in Sustainable Synthesis of Organics by Gold Nanoparticles Embedded in Polymer Matrices. In CATALYSTS, 2021, vol. 11, no. 6.
  2. [1.1] EL-BORADY, O.M. – FAWZY, M. – HOSNY, M. Antioxidant, anticancer and enhanced photocatalytic potentials of gold nanoparticles biosynthesized by common reed leaf extract. In APPLIED NANOSCIENCE. ISSN 2190-5509, 2021.
  3. [1.1] FU, B. – SUN, J. – CHENG, Y. – OUYANG, H. – COMPAGNINI, G. – YIN, P. – WEI, S. – LI, S. – LI, D. – SCARDACI, V. – ZHANG, H. Recent Progress on Metal-Based Nanomaterials: Fabrications, Optical Properties, and Applications in Ultrafast Photonics. In ADVANCED FUNCTIONAL MATERIALS. ISSN 1616-301X, 2021, vol. 31, no. 49.
  4. [1.1] GUO, B. – ALIVIO, T.E.G. – FLEER, N.A. – FENG, M. – LI, Y. – BANERJEE, S. – SHARMA, V.K. Elucidating the Role of Dissolved Organic Matter and Sunlight in Mediating the Formation of Ag-Au Bimetallic Alloy Nanoparticles in the Aquatic Environment. In ENVIRONMENTAL SCIENCE & TECHNOLOGY. ISSN 0013-936X, 2021, vol. 55, no. 3, p. 1710-1720.
  5. [1.1] KOEHLER, J.M. – KLUITMANN, J. In Situ Assembly of Gold Nanoparticles in the Presence of Poly-DADMAC Resulting in Hierarchical and Highly Fractal Nanostructures. In APPLIED SCIENCES-BASEL, 2021, vol. 11, no. 3.
  6. [1.1] LI SIP, Y.Y. – FOX, D.W. – SHULTZ, L.R. – DAVY, M. – CHUNG, H.-S. – ANTONY, D.-X. – JUNG, Y. – JURCA, T. – ZHAI, L. Cu-Ag Alloy Nanoparticles in Hydrogel Nanofibers for the Catalytic Reduction of Organic Compounds. In ACS APPLIED NANO MATERIALS, 2021, vol. 4, no. 6, p. 6045-6056.
  7. [1.1] NAJAFZADEH, F. – TANOMAND, A. – HADDADI, A. – MAJIDI, J. Preparation and immunological properties of a nanovaccine against Pseudomonas aeruginosa based on gold nanoparticles and detoxified lipopolysaccharide. In IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES. ISSN 2008-3866, 2021, vol. 24, no. 2, p. 203-212.
  8. [1.1] NIETO-ARGUELLO, A. – TORRES-CASTRO, A. – VILLAURRUTIA-ARENAS, R. – MARTINEZ-SANMIGUEL, J.J. – GONZALEZ, M.U. – GARCIA-MARTIN, J.M. – CHOLULA-DIAZ, J.L. Green synthesis and characterization of gold-based anisotropic nanostructures using bimetallic nanoparticles as seeds. In DALTON TRANSACTIONS. ISSN 1477-9226, 2021, vol. 50, no. 46.
  9. [1.1] SCARDACI, V. – CONDORELLI, M. – BARCELLONA, M. – SALEMI, L. – PULVIRENTI, M. – FRAGALA, M.E. – COMPAGNINI, G. Fast One-Step Synthesis of Anisotropic Silver Nanoparticles. In APPLIED SCIENCES-BASEL, 2021, vol. 11, no. 19.
  10. [1.1] SCARDACI, V. Anisotropic Silver Nanomaterials by Photochemical Reactions: Synthesis and Applications. In NANOMATERIALS, 2021, vol. 11, no. 9.
  11. [1.1] ZHANG, Y. – LI, A. – SAJAD, M. – FULAJTAROVA, K. – MAZUR, M. – KUBU, M. – SHAMZHY, M. – HRONEC, M. – BULANEK, R. – CEJKA, J. Imidazolium-type ionic liquid-assisted formation of the MFI zeolite loaded with metal nanoparticles for hydrogenation reactions. In CHEMICAL ENGINEERING JOURNAL. ISSN 1385-8947, 2021, vol. 412.
  12. [1.2] CONDORELLI, M. – SCARDACI, V. – PULVIRENTI, M. – D’URSO, L. – NERI, F. – COMPAGNINI, G. – FAZIO, E. Surface plasmon resonance dependent third‐order optical nonlinearities of silver nanoplates. In PHOTONICS, 2021, vol. 8, no. 8.

 

WOS citations: 4; SCOPUS citations: 2

  1. [1.1] BONACCORSO, A. – RUSSO, G. – PAPPALARDO, F. – CARBONE, C. – PUGLISI, G. – PIGNATELLO, R. – MUSUMECI, T. Quality by design tools reducing the gap from bench to bedside for nanomedicine. In EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS. ISSN 0939-6411, DEC 2021, vol. 169, p. 144-155.
  2. [1.1] DE AVILA GONCALVES, S. – R. RODRIGUES, P. – PIOLI VIEIRA, R. Metal-Free Organocatalyzed Atom Transfer Radical Polymerization: Synthesis, Applications, and Future Perspectives. In MACROMOLECULAR RAPID COMMUNICATIONS. ISSN 1022-1336, 2021, vol. 42, no. 15.
  3. [1.1] DODOO-ARHIN, D. – BOWEN-DODOO, E. – AGYEI-TUFFOUR, B. – NYANKSON, E. – OBAYEMI, J.D. – SALIFU, A.A. – YAYA, A. – AGBE, H. – SOBOYEJO, W.O. Modified nanostructured titania photocatalysts for aquatic disinfection applications. In MATERIALS TODAY-PROCEEDINGS. ISSN 2214-7853, 2021, vol. 38, p. 1183-1190.
  4. [1.1] NQAKALA, Z.B. – SIBUYI, N.R.S. – FADAKA, A.O. – MEYER, M. – ONANI, M.O. – MADIEHE, A.M. Advances in Nanotechnology towards Development of Silver Nanoparticle-Based Wound-Healing Agents. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. OCT 2021, vol. 22, no. 20.
  5. [1.2] KUMAR, N. – PHANI, M.K. – CHAMOLI, P. – MANOJ, M.K. – SHARMA, A. – AHMED, W. – SRIVASTAVA, A.K. – KUMAR, S. Nanomaterials for advanced photovoltaic cells. In EMERGING NANOTECHNOLOGIES FOR RENEWABLE ENERGY, 2021, p. 239-258.
  6. [1.2] LEE, J.H. – NGUYEN, T.T.T. – NGUYEN, L.H.T. – PHAN, T.B. – KIM, S.S. – DOAN, T.L.H. Functionalization of zirconium-based metal–organic frameworks for gas sensing applications. In JOURNAL OF HAZARDOUS MATERIALS. ISSN 0304-3894, 2021, vol. 403.

 

  • WIMMER, G. – PALENČÁR, R. – WITKOVSKÝ, Viktor. Stochastické modely merania. Bratislava : Grafické štúdio Ing. Peter Juriga, 2001. 115 s. ISBN 80-968449-2-X.

SCOPUS citations: 1; other citations: 1

  1. [1.2] KELEMENOVA, T. – DOVICA, M. – STEJSKAL, T. – TOTH, T. – KOLARIKOVA, I. – BENEDIK, O. Evaluation of Distance Sensor for Length Measurement Device. In 13TH INTERNATIONAL CONFERENCE ON MEASUREMENT, MEASUREMENT 2021, 2021, p. 63-66.
  2. [3.1] KELEMENOVA, T. – KOLARIKOVA, I. – BENEDIK, O. Calibration of optical displacement sensor system. In TECHNICAL SCIENCES AND TECHNOLOGIES. ISSN 2411-5363, 2021, vol. 24, no. 2, p. 179-187.

 

Chapters in scientific monographs 

 

  • BAJLA, I. – SOUKUP, D. – ŠTOLC, Svorad. Occluded image object recognition using localized nonnegative matrix factorization methods. In Object Recognition. – Rijeka, Croatia : InTech, 2011, p. 83-106. ISBN 978-953-307-222-7.

Other citations: 2

  1. [3.1] KOZAK, E.V. Complex algorithm for recovering binary images based on morphological methods of graphic dataprocessing. In NAUKOVI NOTATKI. ISSN 2415-3966, 2021, no. 71, p. 35-42. (in Russian)
  2. [3.1] MOSTOVSHCHIKOV, D.N. – MOGYLATOV, R.K. – BABKIN, O.V. Complex algorithms for the classification of visual objects based on machine learning methods. In PROBLEMY SOVREMENNOJ NAUKI I OBRAZOVANIA. ISSN 2304-2338, 2021, no. 6, p. 163. (in Russian)

 

  • BILLIK, Peter – ČAPLOVIČOVÁ, M. Mechanochemical synthesis of oxide nanopowders. In Advances in Nanotechnology : Volume 8. – Hauppauge NY, USA : Nova Science Publishers, 2012, p. 111-164. ISBN 978-1-61324-062-5.

WOS citations: 1

  1. [1.1] TSUZUKI, T. Mechanochemical synthesis of metal oxide nanoparticles. In COMMUNICATIONS CHEMISTRY. ISSN 2399-3669, 2021, vol. 4, no. 1.

 

  • 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

Other citations: 1

  1. [3.1] LI, Y. – QU, L. Stress (Including Oxidative Stress). In HANDBOOK OF BIOASTRONAUTICS. Springer, ISBN 978-3-319-12190-1, 2021, p. 239–253.

 

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

WOS citations: 1; SCOPUS citations: 1

  1. [1.1] KULKARNI, P. – UMARANI, S. – DIWAN, V. – KORDE, V. – REGE, P.P. Child Cry Classification An Analysis of Features and Models. In 2021 6TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2021.
  2. [1.2] NASR, M.C.B. – JEBARA, S.B. – OTIS, S. – ABDULRAZAK, B. – MEZGHANI, N. Article a spectral-based approach for bcg signal content classification. In SENSORS (Switzerland). ISSN 1424-8220, 2021, vol. 21, no. 3, p. 1-19.

 

  • 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: 4; SCOPUS citations: 1; other citations: 2

  1. [1.1] CAPITAIN, C. – WELLER, P. Non-Targeted Screening Approaches for Profiling of Volatile Organic Compounds Based on Gas Chromatography-Ion Mobility Spectroscopy (GC-IMS) and Machine Learning. In MOLECULES. SEP 2021, vol. 26, no. 18.
  2. [1.1] ECHTERMEYER, A. – MARKS, C. – MITSOS, A. – VIELL, J. Inline Raman Spectroscopy and Indirect Hard Modeling for Concentration Monitoring of Dissociated Acid Species. In APPLIED SPECTROSCOPY. ISSN 0003-7028, MAY 2021, vol. 75, no. 5, p. 506-519.
  3. [1.1] KURBAN, H. – KURBAN, M. Rare-class learning over Mg-doped ZnO nanoparticles. In CHEMICAL PHYSICS. ISSN 0301-0104, JUN 1 2021, vol. 546.
  4. [1.1] SILALAHI, D.D. – MIDI, H. – ARASAN, J. – MUSTAFA, M.S. – CALIMAN, J.P. Kernel Partial Least Square Regression with High Resistance to Multiple Outliers and Bad Leverage Points on Near-Infrared Spectral Data Analysis. In SYMMETRY-BASEL. APR 2021, vol. 13, no. 4.
  5. [1.2] OUAZZA, A. – RHOMARI, N. – ZARROUK, Z. Kernel method to estimate nonlinear structural equation models. In QUALITY AND QUANTITY. ISSN 0033-5177, 2021.
  6. [3.1] CHAUVIN, J. – DURAN, R. – NG, S. – BURKE, T. – BARTON, K. – MACKINNON, N. – TAVAKOLIAN, K. – AKHBARDEH, A. – VASEFI, F. Advanced Optical Technologies in Food Quality and Waste Management. In INNOVATION IN THE FOOD SECTOR THROUGH THE VALORIZATION OF FOOD AND AGRO-FOOD BY-PRODUCTS. IntechOpen, 2021, ISBN 978-1-83880-682-8, p. 92.
  7. [3.1] YAUSHEV, F.Y. – ISACHENKO, R.V. – STRIJOV, V.V. Concordant models for latent space projections in forecasting. In SYSTEMS AND MEANS OF INFORMATICS. ISSN 0869-6527, 2021, vol. 31, no. 1, p. 4-16.

 

  • VALKOVIČ, Ladislav – KLEPOCHOVÁ, R. – KRŠŠÁK, M. Multinuclear magnetic resonance spectroscopy of human skeletal muscle metabolism in training and disease. In Muscle Cell and Tissue : Current Status of Research Field. – London : IntechOpen, 2018, p. 33-62. ISBN 978-1-78984-006-3. https://doi.org/10.5772/intechopen.77107

SCOPUS citations: 1

  1. [1.2] HIDAYAH RUSLI, N. – ZAKARIA, F. – ABDUL RAZAK, H. Quantification of muscle metabolites using proton magnetic resonance spectroscopy (1H-MRS) for incomplete spinal cord injury patients: Preliminary study. In MALAYSIAN JOURNAL OF MEDICINE AND HEALTH SCIENCES. ISSN 1675-8544, 2021, vol. 17, no. 2, p. 4-10.

 

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

 

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

WOS citations: 1

  1. [1.1] BARBARACI, G. Control flow strategy in a receiver coil for nuclear magnetic resonance for imaging. In JOURNAL OF VIBRATION AND CONTROL. ISSN 1077-5463, 2021, vol. 27, no. 23-24, p. 2711-2723.

 

  • ANDRIS, PeterFROLLO, Ivan. Simple and accurate unwrapping phase of MR data. In Measurement, 2009, vol. 42, p. 737-741. (2008: 0.662 – IF, Q3 – JCR, 0.398 – SJR, Q2 – SJR). ISSN 0263-2241. https://doi.org/10.1016/j.measurement.2008.12.003

WOS citations: 1

  1. [1.1] ZHANG, Q.B. – WANG, S.F. – YUAN, Y.F. – LI, A.Y. Phase unwrapping based on accumulation of residual maps with local denoising. In OPTICAL ENGINEERING. ISSN 0091-3286, JAN 2021, vol. 60, no. 1.

 

  • ANDRIS, PeterFROLLO, 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

SCOPUS citations: 1; other citations: 1

  1. [1.2] AWANG, M.K. – KAMIL, N.K.M. – ZAMRI, M.H. Homomorphic Denoising Filtering for 3D Face Recognition. In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATICS. ISSN 2155-6830, 2021.
  2. [3.1] ANISIMOV, N.V. – TARASOVA, A. – AUSANOV, I.A. – PAVLOVA, O.S. – CHESHKOV, D.A. – PIROGOV, YU.A. NMR signal detection in the presence of external interference. ELECTROMAGNETIC WAVES AND ELECTRONIC SYSTEMS. ISSN 1560-4128, 2021, vol. 26, no. 5, p. 50-59. (in Russian)

 

  • 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: 7; SCOPUS citations: 1

  1. [1.1] ALSAYYAD, M.A.I. – SHEHATA, K.A.A. – KHATTAB, R.T. Role of adding T2 mapping sequence to the routine MR imaging protocol in the assessment of articular knee cartilage in osteoarthritis. In EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE. MAR 17 2021, vol. 52, no. 1.
  2. [1.1] BELLISARI, F.C. – DE MARINO, L. – ARRIGONI, F. – MARIANI, S. – BRUNO, F. – PALUMBO, P. – DE CATALDO, C. – SGALAMBRO, F. – CATALLO, N. – ZUGARO, L. – DI CESARE, E. – SPLENDIANI, A. – MASCIOCCHI, C. – GIOVAGNONI, A. – BARILE, A. T2-mapping MRI evaluation of patellofemoral cartilage in patients submitted to intra-articular platelet-rich plasma (PRP) injections. In RADIOLOGIA MEDICA. ISSN 0033-8362, AUG 2021, vol. 126, no. 8, p. 1085-1094.
  3. [1.1] GRONDIN, M.M. – LIU, F. – VIGNOS, M.F. – SAMSONOV, A. – LI, W.J. – KIJOWSKI, R. – HENAK, C.R. Bi-component T2 mapping correlates with articular cartilage material properties. In JOURNAL OF BIOMECHANICS. ISSN 0021-9290, FEB 12 2021, vol. 116.
  4. [1.1] MARTEL-PELLETIER, J. – TARDIF, G. – PAIEMENT, P. – PELLETIER, J.P. Common Biochemical and Magnetic Resonance Imaging Biomarkers of Early Knee Osteoarthritis and of Exercise/Training in Athletes: A Narrative Review. In DIAGNOSTICS. AUG 2021, vol. 11, no. 8.
  5. [1.1] MATCUK, G.R. – JONES, I.A. – MCINTYRE, J.A. – BURT, R. – HWANG, D. – CEN, S. – SCHEIN, A.J. – VANGSNESS, C.T. Evaluation of Knee Cartilage Diurnal, Activity, and BMI-Related Variations Using Quantitative T2 Mapping MRI and Fitbit Activity Tracking. In JOURNAL OF KNEE SURGERY. ISSN 1538-8506, FEB 2021, vol. 34, no. 03, p. 251-257.
  6. [1.1] VOGRIG, C. – LOUIS, J.S. – AVILA, F. – GILLET, R. – HOSSU, G. – BLUM-MOYSE, A. – TEIXEIRA, P.A.G. Synthetic MRI is not yet ready for morphologic and functional assessment of patellar cartilage at 1.5 Tesla. In DIAGNOSTIC AND INTERVENTIONAL IMAGING. ISSN 2211-5684, MAR 2021, vol. 102, no. 3, p. 181-187.
  7. [1.1] WILLIAMS, A.A. – DEADWILER, B.C. – DRAGOO, J.L. – CHU, C.R. Cartilage Matrix Degeneration Occurs within the First Year after ACLR and Is Associated with Impaired Clinical Outcome. In CARTILAGE. ISSN 1947-6035, DEC 2021, vol. 13, no. 2_SUPPL, SI, p. 1809S-1818S.
  8. [1.2] KRAKOWSKI, P. – KARPINSKI, R. – MACIEJEWSKI, R. – JONAK, J. Evaluation of the diagnostic accuracy of MRI in detection of knee cartilage lesions using Receiver Operating Characteristic curves. In JOURNAL OF PHYSICS: CONFERENCE SERIES. ISSN 1742-6588, 2021, vol. 1736, no. 1.

 

  • 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] KIM, B.R. – YOO, H.J. – CHAE, H.-D. – HONG, S.H. – CHOI, J.-Y. Fat-suppressed T2 mapping of human knee femoral articular cartilage: comparison with conventional T2 mapping. In BMC MUSCULOSKELETAL DISORDERS, 2021, vol. 22, no. 1.
  2. [1.1] SHI, L. – WANG, K. – YU, J. – LI, M. – MEN, G. – MA, G. – WANG, X. Relationship Between Magnetic Resonance T2-Mapping and Matrix Metalloproteinase 1,3 in Knee Osteoarthritis. In INDIAN JOURNAL OF ORTHOPAEDICS. ISSN 0019-5413, 2021, vol. 55, no. 4, p. 974-982.

 

  • 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] PRUDHOMME, T. – MULVEY, J.F. – YOUNG, L.A.J. – MESNARD, B. – LO FARO, M.L. – OGBEMUDIA, A.E. – DENGU, F. – FRIEND, P.J. – PLOEG, R. – HUNTER, J.P. – BRANCHEREAU, J. Ischemia-Reperfusion Injuries Assessment during Pancreas Preservation. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, vol. 22, no. 10.

 

  • 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: 2; SCOPUS citations: 2

  1. [1.1] MADIAS, J.E. Apparent electrocardiogram left ventricular hypertrophy during tachycardia. In JOURNAL OF ELECTROCARDIOLOGY. ISSN 0022-0736, MAR-APR 2021, vol. 65, p. 3-7.
  2. [1.1] SAEED, S. – WASIM, D. – ALI, A.M. – BLEIE, O. – CHAMBERS, J.B. The electrocardiogram: Still a useful marker for LV fibrosis in aortic stenosis. In JOURNAL OF ELECTROCARDIOLOGY. ISSN 0022-0736, MAR-APR 2021, vol. 65, p. 82-87.
  3. [1.2] COCHEROVA, E. Activation Propagation in Cardiac Ventricles Using the Model of the Normal and Disrupted Conduction System. In PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON MEASUREMENT, 2021, p. 110-113.
  4. [1.2] NIROSHANA, S. M.I. – ZHU, X. – NAKAMURA, K. – CHEN, W. A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network. In PLoS ONE, 2021-04-01, vol. 16, no. 4, art. no. e0250618.

 

  • 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] WU, L. – XIE, X.Y. – WANG, Y.L. ECG Enhancement and R-Peak Detection Based on Window Variability. In HEALTHCARE. FEB 2021, vol. 9, no. 2, art. no. 227.

 

  • 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: 110; SCOPUS citations: 9; other citations: 9

  1. [1.1] AKOPOVA, T.A. – DEMINA, T.S. – KHAVPACHEV, M.A. – POPYRINA, T.N. – GRACHEV, A.V. – IVANOV, P.L. – ZELENETSKII, A.N. Hydrophobic Modification of Chitosan via Reactive Solvent-Free Extrusion. In POLYMERS. AUG 2021, vol. 13, no. 16.
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  • 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: 3; SCOPUS citations: 1

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  • 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: 2

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  • ZRUBEC, VladimírMAŇKA, Ján. Measurement of beam intensity of electrically charged particles in superconductive accelerators using SQM. In Journal of Low Temperature Physics, 1997, vol. 106, p. 539–544. (1996: 1.448 – IF). ISSN 0022-2291. https://doi.org/10.1007/BF02399665

WOS citations: 1

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

 

  • BAČIAK, L. – MELICHERCIK, L. – MATÉ, V. – MURGOCI, A.-N. – 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

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  • FARKAŠOVÁ, T. – GURSKÁ, S. – WITKOVSKÝ, Viktor – GÁBELOVÁ, A. Significance of amino acid substitution variants of DNA repair genes in radiosusceptibility of cervical cancer patients; a pilot study. In Neoplasma, 2008, vol. 55, no. 4, p. 330-337. (2007: 1.208 – IF, Q4 – JCR, 0.527 – SJR, Q3 – SJR). ISSN 0028-2685.

WOS citations: 1

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  • CHUDÝ, LuciusFARKAŠ, Igor. Models of horizontal regional financial equalization. In Ekonomický časopis, 2000, roč. 48, č. 5, s. 634-649. (1999: 0.112 – IF). ISSN 0013-3035.

WOS citations: 1

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  • KRAFČÍK, Andrej – BABINEC, P. – BABINCOVÁ, M. – FROLLO, Ivan. Importance of basset history force for the description of magnetically driven motion of magnetic particles in air. In Measurement Science Review, 2020, vol. 20, no. 2, p. 50-58. (2019: 0.900 – IF, Q4 – JCR, 0.326 – SJR, Q3 – SJR). ISSN 1335-8871. https://doi.org/10.2478/msr-2020-0007

WOS citations: 1

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  • 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: 3; SCOPUS citations: 1

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

WOS citations: 5

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  • 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: 4; SCOPUS citations: 1

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Scientific papers in other foreign journals not registered in WOS or Scopus with IF (impacted)

 

  • 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

WOS citations: 2

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

 

  • CIMERMANOVÁ, Katarína. Estimation of confidence intervals for the log-normal means and for the ratio and difference of log-normal means. In Measurement Science Review, 2007, vol. 7, no. 3, p. 31-34. ISSN 1335-8871.

WOS citations: 1

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  • CAPEK, Ignác. On biodecorated gold nanoparticles distributed within tissues and cells. In Journal of Nanomedicine Research, 2015, vol. 2, iss. 1, art.no. 00020. ISSN 2377-4282.

WOS citations: 2

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  • CAPEK, Ignác. Noble metal nanoparticles and their (bio) conjugates. I. Preparation. In International Journal of Chemistry, 2016, vol. 8, no. 1, p. 74-85. ISSN 1916-9701.

WOS citations: 1

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  • 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: 6; other citations: 5

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WOS citations: 21; other citations: 3; other citations: 3

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

 

  • BAJLA, Ivan – HOLLÄNDER, I. – BURG, K. Improvement of electrophoretic gel image analysis. In Measurement Science Review, 2001, vol. 1, no. 1, p. 5-10. ISSN 1335-8871.

SCOPUS citations: 1

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SCOPUS citations: 1

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  • 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: 5

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  • 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: 7; SCOPUS citations: 1; other citations: 1

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WOS citations: 1

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Other citations: 1

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WOS citations: 2

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

 

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WOS citations: 11; SCOPUS citations: 2; other citations: 1

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WOS citations: 3

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  1. [1.1] LIEBISCH, A.P. – EGGERT, T. – SHINDY, A. – VALENTINI, E. – IRVING, S. – STANKEWITZ, A. – SCHULZ, E. A novel tool for the removal of muscle artefacts from EEG: Improving data quality in the gamma frequency range. In JOURNAL OF NEUROSCIENCE METHODS. ISSN 0165-0270, JUL 1 2021, vol. 358.

 

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

 

  • FROLLO, IvanANDRIS, PeterPŘIBIL, JiříVOJTÍŠEK, LubomírDERMEK, TomášVALKOVIČ, Ladislav. Measurement and imaging of planar electromagnetic phantoms based on NMR imaging methods. In Measurement Science Review, 2010, vol. 10, no. 3, p. 97-101. (2009: 0.115 – SJR, Q4 – SJR). ISSN 1335-8871. https://doi.org/10.2478/v10048-010-0013-7

WOS citations: 1

  1. [1.1] ISHIKAWA, Y. – KOIZUMI, Y. – FUJII, Y. – OIDA, T. – FUKUDA, A. – LEE, S. – KOBAYASHI, E. – KIKUCHI, H. – JARVINEN, J. – VASILIEV, S. – MITSUDO, S. Millimeter-Wave Band Resonator with Surface Coil for DNP-NMR Measurements. In APPLIED MAGNETIC RESONANCE. ISSN 0937-9347, APR 2021, vol. 52, no. 4, SI, p. 317-335.

 

  • 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

  1. [1.1] KORENEK, J. – HLINKA, J. Causality in Reversed Time Series: Reversed or Conserved? In ENTROPY, 2021, vol. 23, no. 8.

 

  • PALENČÁR, R. – WIMMER, G. – KLVÁČOVÁ, S. – WITKOVSKÝ, Viktor. Two approaches to obtain the calibration line. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 43-46. ISBN 978-80-972629-0-7. https://doi.org/10.23919/MEASUREMENT.2017.7983532

WOS citations: 1

  1. [1.1] GAJDOSIK, T. – KUCERA, L. – GAJDAC, I. – FRIC, A. – MARKOVIC, J. Metrological equipment for verification and calibration of non-automatic weighing instruments – axle and crane weighting instrument. In METROLOGY AND MEASUREMENT SYSTEMS. ISSN 0860-8229, 2021, vol. 28, no. 2, p. 397-407.

 

  • PIGOŠOVÁ, JanaCIGÁŇ, AlexanderMAŇKA, Ján. Thermal synthesis of bismuth-doped yttrium iron garnet for magneto-optical imaging. In Measurement Science Review, 2008, vol. 8, no. 5, p. 126-128. ISSN 1335-8871. https://doi.org/10.2478/v10048-008-0030-y

WOS citations: 1

  1. [1.1] RAJA, A. – GAZZALI, P.M.M. – CHANDRASEKARAN, G. Enhanced electrical and ferrimagnetic properties of bismuth substituted yttrium iron garnets. In PHYSICA B-CONDENSED MATTER. ISSN 0921-4526, JUL 15 2021, vol. 613.

 

  • PŘIBIL, Jiří – PŘIBILOVÁ, A. An experiment with evaluation of emotional speech conversion by spectrograms. In Measurement Science Review, 2010, vol. 10, no. 3, p. 72-77. (2009: 0.115 – SJR, Q4 – SJR). ISSN 1335-8871. https://doi.org/10.2478/v10048-010-0017-3

WOS citations: 1

  1. [1.1] LECH, M. – STOLAR, M. – BEST, C. – BOLIA, R. Real-Time Speech Emotion Recognition Using a Pre-trained Image Classification Network: Effects of Bandwidth Reduction and Companding. In FRONTIERS IN COMPUTER SCIENCE. MAY 26 2020, vol. 2.

 

Other citations: 1

  1. [3.1] UMAR, S.S. – ABDULAZEEZ, S.A. – BAKO, S.S. – SAMUEL, A.N. – KOLAWOLE, I.A. Application of Multivariate Non-parametric Change-point Control Charts to Children with Bronchial Pneumonia. In INTERNATIONAL JOURNAL OF INTELLECTUAL DISCOURSE. ISSN 2636-4832, 2021, vol. 4, no. 1, p. 43–54.

 

  • SZOMOLÁNYI, Pavol – RÖHRICH, S. – FROLLO, IvanJURÁŠ, Vladimír – SCHREINER, M. – HEULE, R. – BIERI, O. – TRATTNIG, S. Evaluation of compression properties of human knee cartilage – in-vivo study at 7T MRI. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 185-188. ISBN 978-80-972629-0-7. https://doi.org/10.23919/MEASUREMENT.2017.7983567

WOS citations: 1

  1. [1.1] JERBAN, S. – MA, Y. – KASIBHATLA, A. – WU, M. – SZEVERENYI, N. – GUMA, M. – COVEY, D. – D’;LIMA, D. – WARD, S.R. – SAH, R.L. – CHANG, E.Y. – DU, J. – CHUNG, C.B. Ultrashort echo time adiabatic T-1 rho (UTE-Adiab-T-1 rho) is sensitive to human cadaveric knee joint deformation induced by mechanical loading and unloading. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, 2021, vol. 80, p. 98-105.

 

  • WITKOVSKÝ, Viktor – WIMMER, G. Exact confidence intervals for parameters in linear models with parameter constraints. In MEASUREMENT 2021 : Proceedings of the 13th International Conference on Measurement. – Bratislava : Institute of Measurement Science, SAS, 2021, 2021, p. 22-25. ISBN 978-80-972629-4-5. https://doi.org/10.23919/Measurement52780.2021.9446783

WOS citations: 1

  1. [1.1] WAN, J.W. – XU, C. – QIAO, Y.D. – ZHANG, X.T. Error Constraint Enhanced Particle Filter Using Quantum Particle Swarm Optimization. In IEEE SENSORS JOURNAL. ISSN 1530-437X, NOV 1 2021, vol. 21, no. 21, p. 24431-24439.

 

  • 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: 4; SCOPUS citations: 3

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  4. [1.1] NA, Q. – HU, S. – TAO, J. – LUO, Y. Adaptive quasi-Monte Carlo method for uncertainty evaluation in centroid measurement of planetary rovers. In TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL. ISSN 0142-3312, 2021, vol. 43, no. 3, p. 623-634.
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  7. [1.2] SHARIFIAN, S. – SOTUDEH-GHAREBAGH, R. – ZARGHAMI, R. – TANGUY, P. – MOSTOUFI, N. Uncertainty in chemical process systems engineering: a critical review. In REVIEWS IN CHEMICAL ENGINEERING. ISSN 0167-8299, 2021, vol. 37, no. 6, p. 687-714.

 

Published papers from foreign scientific conferences

 

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

SCOPUS citations: 1

  1. [1.2] LIAO, R. – MA, L. – YANG, L. – ZHU, J. Dense Three-Dimensional Point Continuous Measurement Based on Triple Line-Scan Cameras. In PROCEEDINGS OF SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. ISSN 0277-786X, 2021, vol. 12030.

 

  • 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

  1. [1.1] KATONA, J. A Review of Human-Computer Interaction and Virtual Reality Research Fields in Cognitive InfoCommunications. In APPLIED SCIENCES-BASEL. MAR 2021, vol. 11, no. 6, art. no. 2646.

 

  • PŘIBIL, Jiří – PŘIBILOVÁ, AnnaFROLLO, Ivan. Comparative measurement of the PPG signal on different human body positions by sensors working in reflection and transmission modes. In Engineering Proceedings, 2020, vol. 2, no. 1, p. 69. ISSN 2673-4591. https://doi.org/10.3390/ecsa-7-08204

WOS citations: 2

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

WOS citations: 1; other citations: 1

  1. [1.1] ZAMAN, S.R. – SADEKEEN, D. – ALFAZ, M.A. – SHAHRIYAR, R. One Source to Detect them All: Gender, Age, and Emotion Detection from Voice. In 2021 IEEE 45TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2021). ISSN 0730-3157, 2021, p. 338-343.
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  • ROSIPAL, Roman – TREJO, L.J. – MATTHEWS, B. Kernel PLS-SVC for linear and nonlinear classification. In Twentieth International Conference on Machine Learning (ICML-2003). Editors T. Fawcett, N. Mishra. – 2003, p. 640-647. ISBN 0-1-57735-189-4.

SCOPUS citations: 1; other citations: 1

  1. [1.2] AGGRAWAL, R. – PAL, S. Multi-machine learning binary classification, feature selection and comparison technique for predicting death events related to heart disease. In INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH, 2021, vol. 13, no. 1, p. 428-439.
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  • ŠRÁMEK, Miloš. Fast surface rendering from raster data by voxel traversal using chessboard distance. In VISUALIZATION ’94. – New York : IEEE Computer Society Press, 1994, p. 188-195.

WOS citations: 1

  1. [1.1] WEISS, S. – CHU, M. – THUEREY, N. – WESTERMANN, R. Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. In IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS. ISSN 1077-2626, 2021, vol. 27, no. 6, p. 3064-3078.

 

  • ŠRÁMEK, Miloš – KAUFMAN, A. Object voxelization by filtering. In IEEE Symposium on Volume Visualization. – IEEE, 1998, p. 111-118.

WOS citations: 1

  1. [1.1] ALEKSANDROV, M. – ZLATANOVA, S. – HESLOP, D.J. Voxelisation Algorithms and Data Structures: A Review. In SENSORS. ISSN 1424-3210, 2021, vol. 21, no. 24, p. 8241.

 

Published papers from domestic scientific conferences

 

  • KRAKOVSKÁ, AnnaBUDÁČOVÁ, 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] SINHA, A.K. – LOPARO, K.A. A computational model for complex systems analysis: Causality estimation. In PHYSICA D-NONLINEAR PHENOMENA. ISSN 0167-2789, 2021, vol. 423.

 

  • ŠUŠMÁKOVÁ, KristínaKRAKOVSKÁ, Anna. Selection of measures for sleep stages classification. In MEASUREMENT 2009 : International Conference on Measurement. Editors M. Tyšler, J. Maňka, V. Witkovský. – Bratislava : Institute of Measurement Science SAS, 2009, p. 86-89. ISBN 978-80-969672-1-6.

Other citations: 1

  1. [3.1] PAVLOVICH, K.A. The new method of assessing EEG synchrony is the best instrument for identifying interindividual and intergroup differences. In NEUROLOGY & NEUROSCIENCE. ISSN 2692-7918, 2021, vol. 2, no. 3, p. 1-8.

 

Works published on the internet

 

WOS citations: 1

  1. [1.1] LAZAR, N.A. A Review of Empirical Likelihood. In ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 8, 2021. ISSN 2326-8298, 2021, vol. 8, p. 329-344.

 

  • 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

  1. [1.1] SINHA, A.K. – LOPARO, K.A.A computational model for complex systems analysis: Causality estimation. In PHYSICA D-NONLINEAR PHENOMENA. ISSN 0167-2789, 2021, vol. 423.

 

WOS citations: 1

  1. [1.1] PEDROSA, B. – CORREIA, J. – REBELO, C. – VELJKOVIC, M. – GERVASIO, H. Fatigue experimental characterization of preloaded injection bolts in a metallic bridge strengthening scenario. In ENGINEERING STRUCTURES. ISSN 0141-0296, MAY 1 2021, vol. 234.

 

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

WOS citations: 1; other citations: 2

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