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Tom Heskes
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Computer Science
Netherlands
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 59 3417 3321 36 34 347 14154

Tom Heskes publications per year

The chart shows the history of publications by Tom Heskes between 1970 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tom Heskes published across 56 years, from 1970 to 2025, averaging 7.3 papers a year. Output peaked at 39 publications in 2010. 24 of the 410 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1970 to 2025. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2010. 1970: 1 publication 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 2 publications 1992: 5 publications 1993: 4 publications 1994: 6 publications 1995: 5 publications 1996: 5 publications 1997: 7 publications 1998: 3 publications 1999: 8 publications 2000: 12 publications 2001: 4 publications 2002: 12 publications 2003: 14 publications 2004: 7 publications 2005: 8 publications 2006: 9 publications 2007: 7 publications 2008: 8 publications 2009: 11 publications 2010: 39 publications 2011: 20 publications 2012: 12 publications 2013: 22 publications 2014: 19 publications 2015: 13 publications 2016: 12 publications 2017: 16 publications 2018: 14 publications 2019: 16 publications 2020: 16 publications 2021: 18 publications 2022: 21 publications 2023: 10 publications 2024: 11 publications 2025: 13 publications
1970 2025

410 publications in total across all disciplines

View publications per year as a table
Tom Heskes: publications per year, 1970 to 2025
Year Publications
1970 1
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 2
1992 5
1993 4
1994 6
1995 5
1996 5
1997 7
1998 3
1999 8
2000 12
2001 4
2002 12
2003 14
2004 7
2005 8
2006 9
2007 7
2008 8
2009 11
2010 39
2011 20
2012 12
2013 22
2014 19
2015 13
2016 12
2017 16
2018 14
2019 16
2020 16
2021 18
2022 21
2023 10
2024 11
2025 13
Total 410
Download as CSV

Tom Heskes 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 Tom Heskes 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, 342–351 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: 347 publications — 81st percentile

81% 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
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
342–351 208 347
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

Tom Heskes 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 Tom Heskes 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, 58–59 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: 59 D-Index — 77th percentile

77% 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
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 59
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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Tom Heskes is affiliated with Radboud University in the Netherlands. Their research predominantly spans the field of computer science, with a focus on specialized subfields such as artificial intelligence, neurology, computer vision and pattern recognition, genetics, and molecular biology.

The main topics covered in Tom Heskes's work include:

  • Balance, Gait, and Falls Prevention
  • Adversarial Robustness in Machine Learning
  • Parkinson's Disease Mechanisms and Treatments
  • Genetic and phenotypic traits in livestock
  • Bayesian Modeling and Causal Inference
  • Machine Learning and Data Classification
  • Fault Detection and Control Systems

Frequent co-authors collaborating with Tom Heskes include:

  • Ioan Gabriel Bucur (14 joint publications)
  • Tom Claassen (10 joint publications)
  • Laurens Sluijterman (10 joint publications)
  • Eric Cator (10 joint publications)
  • Mariëlle Stoelinga (9 joint publications)

The preferred publication venues where Tom Heskes has contributed are:

  • arXiv (Cornell University) - 23 publications
  • Zenodo (CERN European Organization for Nuclear Research) - 4 publications
  • European Neuropsychopharmacology - 3 publications
  • bioRxiv (Cold Spring Harbor Laboratory) - 3 publications
  • Movement Disorders - 2 publications

Recent papers authored or co-authored by Tom Heskes highlight a blend of machine learning, causal inference, and biomedical applications:

  • Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models (2020), arXiv (Cornell University)
  • Understanding the assumptions underlying Mendelian randomization (2022), European Journal of Human Genetics
  • Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study (2020), Journal of Medical Internet Research
  • How to evaluate uncertainty estimates in machine learning for regression? (2024), Neural Networks

Tom Heskes's research integrates advanced computational techniques with clinical and biological aspects, focusing on both theoretical and practical challenges.

Best Publications

  • MAGMA: Generalized Gene-Set Analysis of GWAS Data

    Christiaan A. de Leeuw;Joris M. Mooij;Tom Heskes;Danielle Posthuma

  • Task clustering and gating for bayesian multitask learning

    Bart Bakker;Tom Heskes

  • Practical confidence and prediction intervals for prediction tasks

    T. Heskes;W.A.J.J. Wiegerinck;H.J. Kappen

  • The statistical properties of gene-set analysis

    Christiaan A. de Leeuw;Christiaan A. de Leeuw;Benjamin M. Neale;Benjamin M. Neale;Tom Heskes;Danielle Posthuma

  • Practical Confidence and Prediction Intervals

    Tom Heskes

  • Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.

    Mohsen Ghafoorian;Nico Karssemeijer;Tom Heskes;Inge W. M. van Uden

  • Energy functions for self-organizing maps

    Tom Heskes

  • Stable Fixed Points of Loopy Belief Propagation Are Local Minima of the Bethe Free Energy

    Tom Heskes

  • Self-organizing maps, vector quantization, and mixture modeling

    T. Heskes

  • On the uniqueness of loopy belief propagation fixed points

    Tom Heskes

  • Learning processes in neural networks

    Tom M. Heskes;Bert Kappen

  • Clustering ensembles of neural network models

    Bart Bakker;Tom Heskes

  • Exact p -values for pairwise comparison of Friedman rank sums, with application to comparing classifiers

    Rob Eisinga;Tom Heskes;Ben Pelzer;Manfred Te Grotenhuis

  • Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin

    Mohsen Ghafoorian;Nico Karssemeijer;Tom Heskes;Mayra Bergkamp

  • A Causal and Mediation Analysis of the Comorbidity Between Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD)

    Elena Sokolova;Anoek M. Oerlemans;Anoek M. Oerlemans;Nanda N. Rommelse;Perry Groot

  • Linear reconstruction of perceived images from human brain activity

    Sanne Schoenmakers;Markus Barth;Tom Heskes;Marcel van Gerven

  • Expectation propagation for approximate inference in dynamic bayesian networks

    Tom Heskes;Onno Zoeter

  • RankProd 2.0: a refactored bioconductor package for detecting differentially expressed features in molecular profiling datasets.

    Francesco Del Carratore;Andris Jankevics;Rob Eisinga;Tom Heskes

  • Premise Selection for Mathematics by Corpus Analysis and Kernel Methods

    Jesse Alama;Tom Heskes;Daniel Kühlwein;Evgeni Tsivtsivadze

  • Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies.

    Payam Piray;Amir Dezfouli;Tom Heskes;Michael J. Frank

  • Empirical Bayes for Learning to Learn

    Tom Heskes

  • Expectation Propogation for approximate inference in dynamic Bayesian networks

    Tom Heskes;Onno Zoeter

  • Expectation propagation for approximate inference m dynamic Bayesian networks

    Tom Heskes;Onno Zoeter

Frequent Co-Authors

Marcel A. J. van Gerven
Marcel A. J. van Gerven Radboud University
Hilbert J. Kappen
Hilbert J. Kappen Radboud University
Elena Marchiori
Elena Marchiori Radboud University
Jan K. Buitelaar
Jan K. Buitelaar Radboud University
Joris M. Mooij
Joris M. Mooij University of Amsterdam
Barbara Franke
Barbara Franke Radboud University
Hans Knoop
Hans Knoop Amsterdam University Medical Centers
Nico Karssemeijer
Nico Karssemeijer Radboud University
Danielle Posthuma
Danielle Posthuma Vrije Universiteit Amsterdam
Josef Urban
Josef Urban Czech Technical University in Prague

External Links

Personal website of Tom Heskes Google Scholar page

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Best Scientists Citing Tom Heskes

Gerome Breen

Gerome Breen

King's College London

Publications: 84

Anders D. Børglum

Anders D. Børglum

Aarhus University

Publications: 83

Stephan Ripke

Stephan Ripke

Massachusetts General Hospital

Publications: 75

Andrew M. McIntosh

Andrew M. McIntosh

University of Edinburgh

Publications: 72

Ole A. Andreassen

Ole A. Andreassen

Oslo University Hospital

Publications: 70

Patrick F. Sullivan

Patrick F. Sullivan

University of North Carolina at Chapel Hill

Publications: 69

Josef Urban

Josef Urban

Czech Technical University in Prague

Publications: 66

Danielle Posthuma

Danielle Posthuma

Vrije Universiteit Amsterdam

Publications: 64

Thomas Werge

Thomas Werge

University of Copenhagen

Publications: 64

Benjamin M. Neale

Benjamin M. Neale

Harvard University

Publications: 62

Ole Mors

Ole Mors

Aarhus University

Publications: 61

Joel Gelernter

Joel Gelernter

Yale University

Publications: 52

Gail Davies

Gail Davies

University of Edinburgh

Publications: 51

Nicholas G. Martin

Nicholas G. Martin

QIMR Berghofer Medical Research Institute

Publications: 50

Merete Nordentoft

Merete Nordentoft

University of Copenhagen

Publications: 50

Srdjan Djurovic

Srdjan Djurovic

Oslo University Hospital

Publications: 50

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