World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8695
World Ranking
10519
National Ranking
100

Toon Calders 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 Toon Calders 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: 191 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Toon Calders 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 Toon Calders 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Toon Calders is affiliated with the University of Antwerp in Belgium and has contributed extensively to the fields of computer science and social sciences. Their work primarily intersects with artificial intelligence, safety research, and information systems, among other areas. In total, Calders has published 42 papers in computer science and 10 in social sciences, with a strong emphasis on artificial intelligence as a subfield.

The scientist's research spans multiple subfields, including:

  • Artificial Intelligence
  • Safety Research
  • Information Systems
  • Signal Processing
  • Molecular Biology

The primary topics covered in Calders' work include:

  • Ethics and Social Impacts of AI
  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Machine Learning and Data Classification
  • Data Quality and Management
  • Topic Modeling
  • Hate Speech and Cyberbullying Detection

Toon Calders has contributed to various publication venues, with the most frequent being:

  • arXiv (Cornell University)
  • Machine Learning
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Language Resources and Evaluation
  • BMC Medical Informatics and Decision Making

Recent papers authored or co-authored by Calders include:

  • "Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models," 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • "Roman Urdu toxic comment classification," 2021, Language Resources and Evaluation
  • "A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis," 2022, BMC Medical Informatics and Decision Making
  • "Keeping the Data Lake in Form," 2020, ACM Transactions on Information Systems
  • "PreCoF: counterfactual explanations for fairness," 2023, Machine Learning

Among frequent collaborators in Calders' research are:

  • Ewoenam Kwaku Tokpo
  • Marco Favier
  • Daphne Lenders
  • Pieter Delobelle
  • Bettina Berendt

In addition to journal papers and conference proceedings, Calders has contributed to the academic literature through book publications. A notable book titled Artificial Intelligence and Machine Learning was published in 2023 by Springer Science+Business Media.

Best Publications

  • Data preprocessing techniques for classification without discrimination

    Faisal Kamiran;Toon Calders

  • Three naive Bayes approaches for discrimination-free classification

    Toon Calders;Sicco Verwer

  • Building Classifiers with Independency Constraints

    Toon Calders;Faisal Kamiran;Mykola Pechenizkiy

  • Classifying without discriminating

    Faisal Kamiran;Toon Calders

  • Mining All Non-derivable Frequent Itemsets

    Toon Calders;Bart Goethals

  • Discrimination Aware Decision Tree Learning

    Faisal Kamiran;Toon Calders;Mykola Pechenizkiy

  • Non-derivable itemset mining

    Toon Calders;Bart Goethals

  • A survey on condensed representations for frequent sets

    Toon Calders;Christophe Rigotti;Jean-François Boulicaut

  • Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures

    Tgk Toon Calders;I Indré Zliobaite

  • Handling Conditional Discrimination

    Indre liobaite;Faisal Kamiran;Toon Calders

  • Controlling Attribute Effect in Linear Regression

    Toon Calders;Asim Karim;Faisal Kamiran;Wasif Ali

  • Mining Compressing Sequential Patterns

    Hoang Thanh Lam;Fabian Mörchen;Dmitriy Fradkin;Toon Calders

  • Classification with no discrimination by preferential sampling

    F Faisal Kamiran;Tgk Toon Calders

  • Mining frequent itemsets in a stream

    Toon Calders;Nele Dexters;Joris J. M. Gillis;Bart Goethals

  • Efficient AUC Optimization for Classification

    Toon Calders;Szymon Jaroszewicz

  • Discrimination and Privacy in the Information Society

    Bart Custers;Toon Calders;Bart Schermer;Tal Zarsky

  • Quantifying explainable discrimination and removing illegal discrimination in automated decision making

    F Faisal Kamiran;I Indré Zliobaite;Tgk Toon Calders

  • Introduction to the special section on educational data mining

    Toon Calders;Mykola Pechenizkiy

  • Applying Webmining techniques to execution traces to support the program comprehension process

    A. Zaidman;T. Calders;S. Demeyer;J. Paredaens

  • Drawbacks and solutions of applying association rule mining in learning management systems

    Enrique García;Cristóbal Romero;Sebastián Ventura;Toon Calders

  • Discrimination and Privacy in the Information Society: Data Mining and Profiling in Large Databases

    Bart Custers;Toon Calders;Bart Schermer;Tal Zarsky

  • Mining Compressing Sequential Patterns

    T.L. Hoang;F. Moerchen;D. Fradkin;Toon Calders

Frequent Co-Authors

Bart Goethals
Bart Goethals University of Antwerp
Mykola Pechenizkiy
Mykola Pechenizkiy Eindhoven University of Technology
Torben Bach Pedersen
Torben Bach Pedersen Aalborg University
Karl Tuyls
Karl Tuyls DeepMind (United Kingdom)
Cristóbal Romero
Cristóbal Romero University of Córdoba
Floriana Esposito
Floriana Esposito University of Bari Aldo Moro
Sebastián Ventura
Sebastián Ventura University of Córdoba
Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München
Cristina Conati
Cristina Conati University of British Columbia

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