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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
59
Citations
14154
World Ranking
3417
National Ranking
36

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.

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 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.

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.

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 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.

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

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