World's Best Scientists 2026 revealed!
Bart Baesens

Bart Baesens

D-Index & Metrics

Computer Science

D-Index
76
Citations
22762
World Ranking
1345
National Ranking
18

Bart Baesens 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 Bart Baesens 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 425 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Bart Baesens 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 Bart Baesens sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 76 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

Bart Baesens is affiliated with KU Leuven in Belgium and has contributed extensively to the field of Computer Science. Their research primarily focuses on Artificial Intelligence, Information Systems, Management Science and Operations Research, Management Information Systems, and Sociology and Political Science.

The primary areas of study covered in their work include:

  • Imbalanced Data Classification Techniques
  • Anomaly Detection Techniques and Applications
  • Financial Distress and Bankruptcy Prediction
  • Sentiment Analysis and Opinion Mining
  • Topic Modeling
  • Explainable Artificial Intelligence (XAI)
  • Forecasting Techniques and Applications

Bart Baesens has authored multiple papers published in various academic journals and conferences. Some of their recent papers are:

  • Data engineering for fraud detection, 2021, Decision Support Systems
  • Deep learning for credit scoring: Do or don't?, 2021, European Journal of Operational Research
  • Special issue on feature engineering editorial, 2021, Machine Learning
  • Profit Driven Decision Trees for Churn Prediction, 2020, Lirias (KU Leuven)
  • Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda, 2023, European Journal of Operational Research

The venues where Bart Baesens frequently publishes include:

  • arXiv (Cornell University)
  • Decision Support Systems
  • European Journal of Operational Research
  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • Expert Systems with Applications

Collaborations have also been a part of their academic activity. Frequent co-authors include:

  • Tim Verdonck
  • Wouter Verbeke
  • María Óskarsdóttir
  • Manon Reusens
  • Monique Snoeck

Bart Baesens has not been documented as receiving any awards. Their body of work emphasizes application-driven research within operational research and machine learning fields, focusing on the challenges and methods related to data engineering, credit scoring, fraud detection, and explainability in artificial intelligence models.

Best Publications

  • Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings

    S. Lessmann;B. Baesens;C. Mues;S. Pietsch

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

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

  • Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research

    Stefan Lessmann;Bart Baesens;Bart Baesens;Hsin-Vonn Seow;Lyn C. Thomas

  • 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

  • New insights into churn prediction in the telecommunication sector: a profit driven data mining approach

    Wouter Verbeke;Karel Dejaeger;David Martens;Joon Hur

  • 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

  • Building comprehensible customer churn prediction models with advanced rule induction techniques

    Wouter Verbeke;David Martens;Christophe Mues;Bart Baesens

  • APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions

    Véronique Van Vlasselaer;Cristián Bravo;Olivier Caelen;Tina Eliassi-Rad

  • Transformational issues of big data and analytics in networked business

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

  • Analytics In A Big Data World: The Essential Guide To Data Science And Its Applications

    Bart Baesens

  • A Comparison of State-of-the-Art Classification Techniques for Expert Automobile Insurance Claim Fraud Detection

    Stijn Viaene;Richard A. Derrig;Bart Baesens;Guido Dedene

  • Editorial survey: swarm intelligence for data mining

    David Martens;Bart Baesens;Tom Fawcett

  • Modeling churn using customer lifetime value

    Nicolas Glady;Bart Baesens;Bart Baesens;Christophe Croux

  • Data Mining Techniques for Software Effort Estimation: A Comparative Study

    K. Dejaeger;W. Verbeke;D. Martens;B. Baesens

  • 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

  • Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers

    K. Dejaeger;T. Verbraken;B. Baesens

Frequent Co-Authors

David Martens
David Martens University of Antwerp
Rudy Setiono
Rudy Setiono National University of Singapore
Luc Sels
Luc Sels KU Leuven
Dirk Van den Poel
Dirk Van den Poel Ghent University
Stefan Lessmann
Stefan Lessmann Humboldt-Universität zu Berlin
Tina Eliassi-Rad
Tina Eliassi-Rad Northeastern University
Leman Akoglu
Leman Akoglu Carnegie Mellon University
Jacek M. Zurada
Jacek M. Zurada University of Louisville

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you're considering studying Computer Science in the USA, exploring related online degree programs can open doors to diverse career paths. Today, flexible education options make it possible to earn a reputable degree from almost anywhere.

For those seeking affordability, there are many cheap online colleges that offer quality programs in Computer Science and related fields. Prospective engineers may want to check out online colleges for engineering to compare programs, specializations, and tuition rates.

Beyond bachelor's degrees, professionals looking to leap into leadership roles might consider pursuing an emba online for advanced business management skills. Alternatively, those interested in information organization or digital resource management could pursue a masters in library science.

Exploring these related online options can help you tailor your educational journey and maximize your career opportunities in technology and beyond.

Best Scientists Citing Bart Baesens

Trending Scientists

Recently Published Articles