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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 45 7007 6804 113 104 146 15618

David M. J. Tax publications per year

The chart shows the history of publications by David M. J. Tax between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David M. J. Tax published across 30 years, from 1996 to 2025, averaging 5.8 papers a year. Output peaked at 17 publications in 2005. 16 of the 174 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2005. 1996: 1 publication 1997: 1 publication 1998: 4 publications 1999: 4 publications 2000: 3 publications 2001: 3 publications 2002: 4 publications 2003: 2 publications 2004: 8 publications 2005: 17 publications 2006: 7 publications 2007: 1 publication 2008: 5 publications 2009: 5 publications 2010: 2 publications 2011: 6 publications 2012: 6 publications 2013: 6 publications 2014: 5 publications 2015: 9 publications 2016: 11 publications 2017: 6 publications 2018: 7 publications 2019: 3 publications 2020: 4 publications 2021: 9 publications 2022: 9 publications 2023: 10 publications 2024: 11 publications 2025: 5 publications
1996 2025

174 publications in total across all disciplines

View publications per year as a table
David M. J. Tax: publications per year, 1996 to 2025
Year Publications
1996 1
1997 1
1998 4
1999 4
2000 3
2001 3
2002 4
2003 2
2004 8
2005 17
2006 7
2007 1
2008 5
2009 5
2010 2
2011 6
2012 6
2013 6
2014 5
2015 9
2016 11
2017 6
2018 7
2019 3
2020 4
2021 9
2022 9
2023 10
2024 11
2025 5
Total 174
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David M. J. Tax publications per year - data summary

  • David M. J. Tax, a Computer Science scholar from Delft University of Technology, has 174 publications recorded across 30 years, from 1996 to 2025.
  • The oldest publication on record dates to 1996 and the most recent to 2025.
  • The most productive year is 2005, with 17 publications.
  • The least productive years with any output are 1996, 1997 and 2007, with 1 publication each.
  • The rate of publication averages 5.8 papers per year over the whole span, or 5.8 per year counting only the 30 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 44 publications, 25% of the career total.
  • Split into equal eras - 1996-2005: 47 publications (4.7 per year); 2006-2015: 52 publications (5.2 per year); 2016-2025: 75 publications (7.5 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

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, 142–151 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: 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.

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
142–151 609 146
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
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
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David M. J. Tax publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • David M. J. Tax, a Computer Science scholar from Delft University of Technology, records 146 publications - the 25th percentile of the discipline.
  • 25% of ranked Computer Science scientists score the same or lower than David M. J. Tax, and about 75% score higher.
  • The median of the discipline falls in the 202–211 publications range, and David M. J. Tax ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

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.

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, 44–45 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: 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.

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 45
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
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David M. J. Tax D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • David M. J. Tax, a Computer Science scholar from Delft University of Technology, records 45 D-Index - the 51st percentile of the discipline.
  • 51% of ranked Computer Science scientists score the same or lower than David M. J. Tax, and about 49% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and David M. J. Tax falls inside that same range.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

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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