World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
15618
World Ranking
7007
National Ranking
113

David M. J. Tax 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 David M. J. Tax 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

David M. J. Tax 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 David M. J. Tax 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

David M. J. Tax is affiliated with Delft University of Technology in the Netherlands. Their research spans multiple fields including Computer Science and Engineering, with a focus on several subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Cardiology and Cardiovascular Medicine, and Statistical and Nonlinear Physics.

Their main research topics cover a range of specialized areas: anomaly detection techniques and applications, non-invasive vital sign monitoring, ECG monitoring and analysis, model reduction and neural networks, advanced neural network applications, astro and planetary science, as well as domain adaptation and few-shot learning.

Among the recent publications by David M. J. Tax are:

  • Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course, 2022, Journal of Medical Internet Research
  • Detecting outliers from pairwise proximities: Proximity isolation forests, 2023, Pattern Recognition
  • Unexplored Antarctic meteorite collection sites revealed through machine learning, 2022, Science Advances
  • iPINNs: incremental learning for Physics-informed neural networks, 2024, Engineering With Computers
  • Continual prune-and-select: class-incremental learning with specialized subnetworks, 2023, Applied Intelligence

Their publications are frequently found in venues including arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Journal of Medical Internet Research, Pattern Recognition, and Science Advances.

Frequent collaborators of David M. J. Tax include Marcel Reinders, Aleksandr Dekhovich, Marcel H. F. Sluiter, Miguel A. Bessa, and Ramin Ghorbani.

Best Publications

  • Support Vector Data Description

    David M. J. Tax;Robert P. W. Duin

  • Support vector domain description

    David M. J. Tax;Robert P. W. Duin

  • One-class classification

    D.M.J. Tax

  • Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB

    Ferdinand van der Heijden;Robert Duin;Dick de Ridder;David M J Tax

  • Data domain description using support vectors.

    David M. J. Tax;Robert P. W. Duin

  • Combining multiple classifiers by averaging or by multiplying

    David M.J. Tax;Martijn van Breukelen;Robert P.W. Duin;Josef Kittler

  • Uniform object generation for optimizing one-class classifiers

    David M. J. Tax;Robert P. W. Duin

  • Experiments with Classifier Combining Rules

    Robert P. W. Duin;David M. J. Tax

  • STATISTICAL PATTERN RECOGNITION

    Unknown

  • Using two-class classifiers for multiclass classification

    D.M.J. Tax;R.P.W. Duin

  • Combining One-Class Classifiers

    David M. J. Tax;Robert P. W. Duin

  • Handwritten digit recognition by combined classifiers

    Martijn van Breukelen;Robert P. W. Duin;David M. J. Tax;J. E. den Hartog

  • Online SVM learning: from classification to data description and back

    D.M.J. Tax;P. Laskov

  • Minimum spanning tree based one-class classifier

    Piotr Juszczak;David M. J. Tax;Elbieta Pekalska;Robert P. W. Duin

  • Growing a multi-class classifier with a reject option

    D. M. J. Tax;R. P. W. Duin

  • Multiple instance learning with bag dissimilarities

    Veronika Cheplygina;David M.J. Tax;Marco Loog

  • Subclass Problem-Dependent Design for Error-Correcting Output Codes

    S. Escalera;D.M.J. Tax;O. Pujol;P. Radeva

  • Outlier Detection Using Classifier Instability

    David M. J. Tax;Robert P. W. Duin

  • From outliers to prototypes: Ordering data

    Stefan Harmeling;Guido Dornhege;David Tax;Frank Meinecke

  • The interaction between classification and reject performance for distance-based reject-option classifiers

    Thomas C. W. Landgrebe;David M. J. Tax;Pavel Paclík;Robert P. W. Duin

  • Classifier Conditional Posterior Probabilities

    Robert P. W. Duin;David M. J. Tax

Frequent Co-Authors

Robert P. W. Duin
Robert P. W. Duin Delft University of Technology
Marco Loog
Marco Loog Radboud University
Marleen de Bruijne
Marleen de Bruijne Erasmus University Rotterdam
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Laurens van der Maaten
Laurens van der Maaten Facebook (United States)
Tadas Baltrusaitis
Tadas Baltrusaitis Microsoft (United States)
Pavel Laskov
Pavel Laskov University of Liechtenstein
Bram van Ginneken
Bram van Ginneken Radboud University
Petia Radeva
Petia Radeva University of Barcelona
Louis-Philippe Morency
Louis-Philippe Morency Carnegie Mellon University

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