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Vladimir Cherkassky

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 39 9505 9231 4026 3858 170 12671

Vladimir Cherkassky publications per year

The chart shows the history of publications by Vladimir Cherkassky between 1984 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Vladimir Cherkassky published across 42 years, from 1984 to 2025, averaging 4.2 papers a year. Output peaked at 14 publications in 2007. 3 of the 176 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1984 to 2025. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2007. 1984: 2 publications 1985: 3 publications 1986: 2 publications 1987: 2 publications 1988: 6 publications 1989: 3 publications 1990: 7 publications 1991: 9 publications 1992: 9 publications 1993: 3 publications 1994: 11 publications 1995: 4 publications 1996: 2 publications 1997: 3 publications 1998: 7 publications 1999: 4 publications 2000: 5 publications 2001: 4 publications 2002: 3 publications 2003: 4 publications 2004: 5 publications 2005: 7 publications 2006: 7 publications 2007: 14 publications 2008: 2 publications 2009: 6 publications 2010: 2 publications 2011: 4 publications 2012: 5 publications 2013: 1 publication 2014: 3 publications 2015: 8 publications 2016: 2 publications 2017: 2 publications 2018: 4 publications 2019: 3 publications 2020: 1 publication 2021: 1 publication 2022: 2 publications 2023: 1 publication 2024: 2 publications 2025: 1 publication
1984 2025

176 publications in total across all disciplines

View publications per year as a table
Vladimir Cherkassky: publications per year, 1984 to 2025
Year Publications
1984 2
1985 3
1986 2
1987 2
1988 6
1989 3
1990 7
1991 9
1992 9
1993 3
1994 11
1995 4
1996 2
1997 3
1998 7
1999 4
2000 5
2001 4
2002 3
2003 4
2004 5
2005 7
2006 7
2007 14
2008 2
2009 6
2010 2
2011 4
2012 5
2013 1
2014 3
2015 8
2016 2
2017 2
2018 4
2019 3
2020 1
2021 1
2022 2
2023 1
2024 2
2025 1
Total 176
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Vladimir Cherkassky publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Vladimir Cherkassky sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 162–171 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 170 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534 170
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Vladimir Cherkassky D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Vladimir Cherkassky sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 38–39 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968 39
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Vladimir Cherkassky is affiliated with the University of Minnesota in the United States and has a research profile spanning several interconnected fields, chiefly computer science and materials science. Their work bridges theoretical and applied aspects of artificial intelligence and materials chemistry, with contributions in cognitive neuroscience, signal processing, and cardiovascular medicine as well.

Their research topics cover a variety of areas, including EEG and brain-computer interfaces, blind source separation techniques, ECG monitoring and analysis, advanced chemical sensor technologies, currency recognition and detection, machine learning applications in materials science, and X-ray diffraction in crystallography. This multidisciplinary focus underscores a broad approach to both computational and experimental methodologies.

Recent publications authored or co-authored by Vladimir Cherkassky include:

  • Performance metrics for online seizure prediction, 2020, Neural Networks
  • Online Prediction of Lead Seizures from iEEG Data, 2021, Brain Sciences
  • Methodological framework for materials discovery using machine learning, 2022, Physical Review Materials
  • To understand double descent, we need to understand VC theory, 2023, Neural Networks
  • Understanding Double Descent Using VC-Theoretical Framework, 2024, IEEE Transactions on Neural Networks and Learning Systems

Frequent co-authors collaborating with Cherkassky include Eng Hock Lee, Hsiang-Han Chen, Han-Tai Shiao, Tony Low, and Wei Jiang. These collaborations have contributed to several papers, often focusing on machine learning, neuroscience, and materials science topics.

Their work appears primarily in journals such as Neural Networks, Brain Sciences, Physical Review Materials, and preprint repositories like arXiv (Cornell University) and Preprints.org. Neural Networks is among the venues with more than one publication, reflecting a recurring engagement with this journal.

Cherkassky's main fields of study incorporate:

  • Computer Science (8 publications)
  • Materials Science (5 publications)

Key subfields in their research involve:

  • Materials Chemistry (4 publications)
  • Artificial Intelligence (4 publications)
  • Cognitive Neuroscience (3 publications)
  • Signal Processing (3 publications)
  • Cardiology and Cardiovascular Medicine (1 publication)

This profile highlights a scholar working at the intersection of computational theories and practical applications in neuroscience and materials science, with a consistent output in high-impact interdisciplinary venues.

Best Publications

  • Practical selection of SVM parameters and noise estimation for SVM regression

    Vladimir Cherkassky;Yunqian Ma

  • Learning from Data: Concepts, Theory, and Methods

    Vladimir Cherkassky;Filip M. Mulier

  • A combined SVM and LDA approach for classification

    Tao Xiong;V. Cherkassky

  • Learning from data

    Vladimir S Cherkassky;Filip Mulier

  • The Nature Of Statistical Learning Theory

    V. Cherkassky

  • Support vector machines for temporal classification of block design fMRI data

    Stephen LaConte;Stephen C. Strother;Vladimir Cherkassky;Jon R. Anderson

  • Comparison of adaptive methods for function estimation from samples

    V. Cherkassky;D. Gehring;F. Mulier

  • Model complexity control for regression using VC generalization bounds

    V. Cherkassky;Xuhui Shao;F.M. Mulier;V.N. Vapnik

  • Self-organization as an iterative kernel smoothing process

    Filip Mulier;Vladimir Cherkassky

  • Comparison of model selection for regression

    Vladimir Cherkassky;Yunqian Ma

  • From Statistics to Neural Networks: Theory and Pattern Recognition Applications

    Vladimir Cherkassky;Jerome H. Friedman;Harry Wechsler

  • SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal

    Han-Tai Shiao;Vladimir Cherkassky;Jieun Lee;Brandon Veber

  • Constrained topological mapping for nonparametric regression analysis

    Vladimir Cherkassky;Hossein Lari-Najafi

  • Finding the right ATM switch for the market

    Unknown

  • Selection of meta-parameters for support vector regression

    Vladimir Cherkassky;Yunqian Ma

  • Image denoising using wavelet thresholding and model selection

    Shi Zhong;V. Cherkassky

  • From Statistics to Neural Networks

    Vladimir Cherkassky;Jerome H. Friedman;Harry Wechsler

  • A neural network approach to job-shop scheduling

    D.N. Zhou;V. Cherkassky;T.R. Baldwin;D.E. Olson

  • 2006 Special issue: Computational intelligence in earth sciences and environmental applications: Issues and challenges

    V. Cherkassky;V. Krasnopolsky;D. P. Solomatine;J. Valdes

  • Fuzzy Inference Systems: A Critical Review

    Vladimir Cherkassky

  • Generalized SMO Algorithm for SVM-Based Multitask Learning

    Feng Cai;V. Cherkassky

  • Support Vector Machines

    Vladimir Cherkassky;Filip M. Mulier

Frequent Co-Authors

Harry Wechsler
Harry Wechsler George Mason University
Martin Maiers
Martin Maiers Medical College of Wisconsin
Dimitri Solomatine
Dimitri Solomatine IHE Delft Institute for Water Education
Benjamin H. Brinkmann
Benjamin H. Brinkmann Mayo Clinic
Gregory A. Worrell
Gregory A. Worrell Mayo Clinic
Nikolaos Papanikolopoulos
Nikolaos Papanikolopoulos University of Minnesota
Jieping Ye
Jieping Ye Alibaba Group (China)
Jerome H. Friedman
Jerome H. Friedman Stanford University
Brian Litt
Brian Litt University of Pennsylvania
Matt Stead
Matt Stead Mayo Clinic

External Links

Personal website of Vladimir Cherkassky

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Best Scientists Citing Vladimir Cherkassky

Olvi L. Mangasarian

Olvi L. Mangasarian

University of Wisconsin–Madison

Publications: 35

Ignacio Rojas

Ignacio Rojas

University of Granada

Publications: 29

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 28

Paulo Cortez

Paulo Cortez

University of Minho

Publications: 26

Héctor Pomares

Héctor Pomares

University of Granada

Publications: 22

Sung-Kwun Oh

Sung-Kwun Oh

University of Suwon

Publications: 22

Johan A. K. Suykens

Johan A. K. Suykens

KU Leuven

Publications: 18

Janaina Mourao-Miranda

Janaina Mourao-Miranda

University College London

Publications: 18

Stephen C. Strother

Stephen C. Strother

University of Toronto

Publications: 17

Glenn Fung

Glenn Fung

American Family Insurance

Publications: 17

Wei-Chiang Hong

Wei-Chiang Hong

Asia Eastern University of Science and Technology

Publications: 17

Harry Wechsler

Harry Wechsler

George Mason University

Publications: 15

William W. Hsieh

William W. Hsieh

University of British Columbia

Publications: 14

Davide Anguita

Davide Anguita

University of Genoa

Publications: 14

Ajith Abraham

Ajith Abraham

Sai University

Publications: 14

Ranganatha Sitaram

Ranganatha Sitaram

St. Jude Children's Research Hospital

Publications: 14

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