World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7473
World Ranking
8011
National Ranking
80

Bart Goethals 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 Goethals 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.

Bart Goethals 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 Goethals 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Bart Goethals is affiliated with the University of Antwerp in Belgium and conducts research primarily in the field of Computer Science, with a focus on Artificial Intelligence, Information Systems, and related subfields.

The scientist's work spans several specialized areas including:

  • Recommender Systems and Techniques
  • Advanced Bandit Algorithms Research
  • Data Mining Algorithms and Applications
  • Time Series Analysis and Forecasting
  • Anomaly Detection Techniques and Applications
  • Data Stream Mining Techniques
  • Data Management and Algorithms

Bart Goethals has contributed to a variety of research publications in notable venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • ACM Transactions on Recommender Systems
  • International Journal of Data Science and Analytics
  • Data Mining and Knowledge Discovery
  • Proceedings of the International AAAI Conference on Web and Social Media

Recent papers authored or co-authored by the scientist include:

  • "PETSC: pattern-based embedding for time series classification" (2022), published in Data Mining and Knowledge Discovery
  • "Pessimistic Decision-Making for Recommender Systems" (2022), published in ACM Transactions on Recommender Systems
  • "Embarrassingly shallow auto-encoders for dynamic collaborative filtering" (2022), published in User Modeling and User-Adapted Interaction
  • "Determining the Presence of Political Parties in Social Circles" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms" (2023), published in ACM Transactions on Recommender Systems

The scientist has collaborated frequently with several co-authors, including:

  • Boris Čule (8 collaborations)
  • Len Feremans (7 collaborations)
  • Olivier Jeunen (3 collaborations)
  • Robin Verachtert (3 collaborations)
  • Joey De Pauw (3 collaborations)

Bart Goethals has also authored a book titled Artificial Intelligence and Machine Learning, published by Springer Science+Business Media in 2023.

Best Publications

  • On private scalar product computation for privacy-preserving data mining

    Bart Goethals;Sven Laur;Helger Lipmaa;Taneli Mielikäinen

  • Predicting the severity of a reported bug

    Ahmed Lamkanfi;Serge Demeyer;Emanuel Giger;Bart Goethals

  • Mining All Non-derivable Frequent Itemsets

    Toon Calders;Bart Goethals

  • Survey on Frequent Pattern Mining

    Bart Goethals

  • Frequent Itemset Mining for Big Data

    Sandy Moens;Emin Aksehirli;Bart Goethals

  • Proximity forest: an effective and scalable distance-based classifier for time series

    Benjamin Lucas;Ahmed Shifaz;Charlotte Pelletier;Lachlan O'Neill

  • Tiling Databases

    Unknown

  • Advances in frequent itemset mining implementations: report on FIMI'03

    Bart Goethals;Mohammed J. Zaki

  • Non-derivable itemset mining

    Toon Calders;Bart Goethals

  • ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences

    Antonio Gomariz;Manuel Campos;Roque Marin;Bart Goethals

  • A primer to frequent itemset mining for bioinformatics

    Stefan Naulaerts;Pieter Meysman;Wout Bittremieux;Trung Nghia Vu

  • BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation

    Anthony M L Liekens;Jeroen De Knijf;Walter Daelemans;Bart Goethals

  • Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03.

    Bart Goethals;Mohammed Javeed Zaki

  • Mining frequent itemsets in a stream

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

  • Frequent Set Mining

    Bart Goethals

  • A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model

    Tom Brijs;Bart Goethals;Gilbert Swinnen;Koen Vanhoof

  • Knowledge Discovery in Inductive Databases

    Bart Goethals;Arno Siebes

  • Analyzing concept drift and shift from sample data

    Geoffrey I. Webb;Loong Kuan Lee;Bart Goethals;Bart Goethals;François Petitjean

  • Proceedings of the SIAM International Conference on Data Mining (SDM)

    B. Goethals;J. Pei

  • Unifying nearest neighbors collaborative filtering

    Koen Verstrepen;Bart Goethals

  • Approximation of Frequentness Probability of Itemsets in Uncertain Data

    Toon Calders;Calin Garboni;Bart Goethals

  • An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data.

    Trung-Nghia Vu;Dirk Valkenborg;Dirk Valkenborg;Koen Smets;Kim A. Verwaest

Frequent Co-Authors

Toon Calders
Toon Calders University of Antwerp
Mohammed J. Zaki
Mohammed J. Zaki Rensselaer Polytechnic Institute
Jilles Vreeken
Jilles Vreeken Max Planck Society
Jan Van den Bussche
Jan Van den Bussche Hasselt University
Siegfried Nijssen
Siegfried Nijssen Université Catholique de Louvain
Walter Daelemans
Walter Daelemans University of Antwerp
Geoffrey I. Webb
Geoffrey I. Webb Monash University
Floris Geerts
Floris Geerts University of Antwerp
Jurgen Del-Favero
Jurgen Del-Favero University of Antwerp

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