World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
12665
World Ranking
8611
National Ranking
148

Wessel Kraaij 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 Wessel Kraaij 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: 255 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Wessel Kraaij 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 Wessel Kraaij 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: 41 D-Index — 40th percentile

40% 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

  • 2017 - ACM Distinguished Member
  • 2007 - ACM Senior Member

Overview

Wessel Kraaij is affiliated with Leiden University in the Netherlands and has contributed extensively to the field of Computer Science. Their work primarily focuses on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, General Health Professions, Applied Psychology, and Information Systems.

Their research encompasses a wide array of topics including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Digital Mental Health Interventions
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • E-Government and Public Services
  • Social Media and Politics

Kraaij has published a notable number of papers in various respected venues. Frequently contributing to arXiv (Cornell University) with six publications, they have also published in JMIR Formative Research and Scientific Reports (each with two publications). They have appeared in Public Administration Review and the Proceedings of the International AAAI Conference on Web and Social Media as well.

Selected recent papers include:

  • "Inclusivity in Online Platforms: Recruitment Strategies for Improving Participation of Diverse Sociodemographic Groups" (2020, Public Administration Review)
  • "A Shallow Approach to Subjectivity Classification" (2021, Proceedings of the International AAAI Conference on Web and Social Media)
  • "Privacy-preserving dataset combination and Lasso regression for healthcare predictions" (2021, BMC Medical Informatics and Decision Making)
  • "A multi-stakeholder approach to eHealth development: Promoting sustained healthy living among cardiovascular patients" (2020, International Journal of Medical Informatics)
  • "Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker" (2023, ACM Transactions on Information Systems)

Collaborations feature multiple frequent co-authors, including Suzan Verberne, Arian Askari, Amin Abolghasemi, Gabriella Pasi, and Anne Dirkson, reflecting ongoing partnerships across different projects and domains.

The scientist has been recognized by the Association for Computing Machinery (ACM), receiving the ACM Senior Member title in 2007 and being designated an ACM Distinguished Member in 2017.

Best Publications

  • Evaluation campaigns and TRECVid

    Alan F. Smeaton;Paul Over;Wessel Kraaij

  • The AMI meeting corpus: a pre-announcement

    Jean Carletta;Simone Ashby;Sebastien Bourban;Mike Flynn

  • TRECVID 2011 - An overview of the goals, tasks, data, evaluation mechanisms, and metrics

    P. Over;G. Awad;J. Fiscus;B. Antonishek

  • TRECVID 2012 - An overview of the goals, tasks, data, evaluation mechanisms, and metrics

    P. Over;J. Fiscus;G. Sanders;B. Shaw

  • TRECVID 2014 - An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics

    Paul Over;Jon Fiscus;Gregory A. Sanders;David Joy

  • TRECVID 2013 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics | NIST

    Paul D. Over;Jonathan G. Fiscus;Gregory A. Sanders;David M. Joy

  • TRECVID 2013 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics

    P. Over;J. Fiscus;G. Sanders;M. Michel

  • The AMI meeting corpus

    I. McCowan;J. Carletta;W. Kraaij;S. Ashby

  • The Importance of Prior Probabilities for Entry Page Search

    Wessel Kraaij;Thijs Westerveld;Djoerd Hiemstra

  • Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

    James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley

  • Viewing stemming as recall enhancement

    Wessel Kraaij;Renée Pohlmann

  • The SWELL Knowledge Work Dataset for Stress and User Modeling Research

    Saskia Koldijk;Maya Sappelli;Suzan Verberne;Mark A. Neerincx

  • High-level feature detection from video in TRECVid: a 5-year retrospective of achievements

    Alan F. Smeaton;Paul Over;Wessel Kraaij

  • Twenty-One at TREC-7: ad-hoc and cross-language track

    Djoerd Hiemstra;Wessel Kraaij

  • Retrieving Web Pages Using Content, Links, URLs and Anchors

    Thijs Westerveld;Wessel Kraaij;Djoerd Hiemstra

  • TRECVID 2005 - An Overview

    Paul Over;Tzveta Ianeva;Wessel Kraaij;Alan F. Smeaton

  • Detecting Work Stress in Offices by Combining Unobtrusive Sensors

    Saskia Koldijk;Mark A. Neerincx;Wessel Kraaij

  • Embedding web-based statistical translation models in cross-language information retrieval

    Wessel Kraaij;Jian-Yun Nie;Michel Simard

  • TRECVID 2016: Evaluating Video Search, Video Event Detection, Localization, and Hyperlinking

    J. Fiscus;D. Joy;M. Michel;G. Awad;G. Awad

  • TRECVID 2013 ― An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics

    Paul Over;George Awad;Jonathan Fiscus;Greg Sanders

  • MeSH Up

    Dolf Trieschnigg;Piotr Pezik;Vivian Lee;Franciska de Jong

Frequent Co-Authors

Alan F. Smeaton
Alan F. Smeaton Dublin City University
Paul Over
Paul Over National Institute of Standards and Technology
Franciska de Jong
Franciska de Jong Erasmus University Rotterdam
Djoerd Hiemstra
Djoerd Hiemstra Radboud University
Martha Larson
Martha Larson Radboud University
Chong-Wah Ngo
Chong-Wah Ngo Singapore Management University
Mark A. Neerincx
Mark A. Neerincx Netherlands Organisation for Applied Scientific Research
Norbert Fuhr
Norbert Fuhr University of Duisburg-Essen
Martijn J. Schuemie
Martijn J. Schuemie Janssen (Belgium)
Jaap Kamps
Jaap Kamps University of Amsterdam

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