World's Best Scientists 2026 revealed!
Jan Vanthienen

Jan Vanthienen

D-Index & Metrics

Computer Science

D-Index
51
Citations
14656
World Ranking
5240
National Ranking
56

Jan Vanthienen 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 Jan Vanthienen 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: 348 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.

Jan Vanthienen 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 Jan Vanthienen 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Jan Vanthienen is affiliated with KU Leuven in Belgium and has a significant body of work spanning multiple fields such as Business, Management and Accounting, Computer Science, and Engineering. The primary subfields of their research include Management Information Systems, Artificial Intelligence, Industrial and Manufacturing Engineering, Information Systems, and Management Science and Operations Research.

The main topics of their research encompass:

  • Business Process Modeling and Analysis
  • Data Quality and Management
  • Service-Oriented Architecture and Web Services
  • Digital Transformation in Industry
  • Big Data and Business Intelligence
  • Flexible and Reconfigurable Manufacturing Systems
  • Topic Modeling

Among the recent papers authored, the following stand out:

  • Digital transformation as an interaction-driven perspective between business, society, and technology, 2021, Electronic Markets
  • Recommendations for enhancing the usability and understandability of process mining in healthcare, 2020, Artificial Intelligence in Medicine
  • Best practices for digital transformation based on a systematic literature review, 2023, Digital Transformation and Society
  • Fraud Detection of Bulk Cargo Theft in Port Using Bayesian Network Models, 2020, Applied Sciences
  • Investigating public intention to use shared mobility in Belgium through a survey, 2022, Case Studies on Transport Policy

Frequent collaborators in their research include Alexandre Goossens, Johannes De Smedt, Ziboud Van Veldhoven, Vedavyas Etikala, and María Óskarsdóttir.

Jan Vanthienen has published multiple papers in respected venues with several publication counts recorded in:

  • arXiv (Cornell University)
  • Digital Transformation and Society
  • Software & Systems Modeling
  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • Electronic Markets

In addition to journal articles and conference papers, they authored a book titled Rules and Reasoning, published in 2021 by Springer Science+Business Media.

Best Publications

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • Benchmarking state-of-the-art classification algorithms for credit scoring

    B Baesens;T Van Gestel;S Viaene;M Stepanova

  • Benchmarking Least Squares Support Vector Machine Classifiers

    Tony Van Gestel;Johan A. K. Suykens;Bart Baesens;Stijn Viaene

  • Using Neural Network Rule Extraction and Decision Tables for Credit-Risk Evaluation

    Bart Baesens;Rudy Setiono;Christophe Mues;Jan Vanthienen

  • Comprehensible credit scoring models using rule extraction from support vector machines

    David Martens;Bart Baesens;Bart Baesens;Tony Van Gestel;Jan Vanthienen

  • Classification With Ant Colony Optimization

    D. Martens;M. De Backer;R. Haesen;J. Vanthienen

  • An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models

    Johan Huysmans;Karel Dejaeger;Christophe Mues;Jan Vanthienen

  • Transformational issues of big data and analytics in networked business

    Bart Baesens;Ravi Bapna;James R. Marsden;Jan Vanthienen

  • Digital transformation as an interaction-driven perspective between business, society, and technology

    Ziboud Van Veldhoven;Jan Vanthienen

  • Bayesian neural network learning for repeat purchase modelling in direct marketing

    Bart Baesens;Stijn Viaene;Dirk Van den Poel;Jan Vanthienen

  • A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs

    Jochen De Weerdt;Manu De Backer;Jan Vanthienen;Bart Baesens

  • Designing compliant business processes with obligations and permissions

    Stijn Goedertier;Jan Vanthienen

  • Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers

    Bart Baesens;Geert Verstraeten;Dirk Van den Poel;Michael Egmont-Petersen

  • The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics

    María Óskarsdóttir;Cristián Bravo;Carlos Sarraute;Jan Vanthienen

  • Active Trace Clustering for Improved Process Discovery

    Jochen De Weerdt;Seppe vanden Broucke;Jan Vanthienen;Bart Baesens

  • Robust Process Discovery with Artificial Negative Events

    Stijn Goedertier;David Martens;Jan Vanthienen;Bart Baesens

  • Predicting going concern opinion with data mining

    David Martens;Liesbeth Bruynseels;Bart Baesens;Marleen Willekens

  • Neural network survival analysis for personal loan data

    B Baesens;T Van Gestel;M Stepanova;D Van den Poel

  • Performance of classification models from a user perspective

    David Martens;Jan Vanthienen;Wouter Verbeke;Bart Baesens

  • Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring

    David Martens;Johan Huysmans;Rudy Setiono;Jan Vanthienen

  • Neural network survival analysis for personal loan data

    Bart Baesens;Tony Van Gestel;M Stepanova;Jan Vanthienen

Frequent Co-Authors

Bart Baesens
Bart Baesens KU Leuven
David Martens
David Martens University of Antwerp
Geert Wets
Geert Wets Hasselt University
Rudy Setiono
Rudy Setiono National University of Singapore
Dirk Van den Poel
Dirk Van den Poel Ghent University
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Frank Hoffmann
Frank Hoffmann TU Dortmund University

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