World's Best Scientists 2026 revealed!
Hendrik Blockeel

Hendrik Blockeel

D-Index & Metrics

Computer Science

D-Index
51
Citations
12018
World Ranking
5285
National Ranking
57

Hendrik Blockeel 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 Hendrik Blockeel 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: 433 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.

Hendrik Blockeel 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 Hendrik Blockeel 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

Hendrik Blockeel is affiliated with KU Leuven in Belgium and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related areas. Their research encompasses a range of subfields including artificial intelligence, signal processing, electrical and electronic engineering, information systems, and computer vision and pattern recognition.

Their recent publications include:

  • Decision trees: from efficient prediction to responsible AI, 2023, Frontiers in Artificial Intelligence
  • A Scalable Ensemble Approach to Forecast the Electricity Consumption of Households, 2022, IEEE Transactions on Smart Grid
  • Scenario generation of residential electricity consumption through sampling of historical data, 2023, Sustainable Energy Grids and Networks
  • Feature Interactions in XGBoost, 2020, arXiv (Cornell University)
  • DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction, 2024, Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent collaborators include:

  • Wannes Meert
  • Aras Yurtman
  • Jonas Soenen
  • Kshitij Goyal
  • Daan Van Wesenbeeck

Common publication venues for Hendrik's work are:

  • arXiv (Cornell University)
  • Data Mining and Knowledge Discovery
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Frontiers in Artificial Intelligence
  • IEEE Transactions on Smart Grid

The main areas of study they have contributed to include computer science broadly, with notable work in artificial intelligence comprising 43 publications, signal processing with 15 publications, and additional contributions in electrical and electronic engineering, information systems, and computer vision and pattern recognition.

Their research topics cover:

  • Time Series Analysis and Forecasting
  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications
  • Text and Document Classification Technologies
  • Music and Audio Processing
  • Bayesian Modeling and Causal Inference
  • Data Mining Algorithms and Applications

Best Publications

  • Web mining research: a survey

    Raymond Kosala;Hendrik Blockeel

  • Top-down induction of first-order logical decision trees

    Hendrik Blockeel;Luc De Raedt

  • Decision trees for hierarchical multi-label classification

    Celine Vens;Jan Struyf;Leander Schietgat;Sašo Džeroski

  • Top-Down Induction of Clustering Trees

    Hendrik Blockeel;Luc De Raedt;Jan Ramon

  • Relational Reinforcement Learning

    Saso Dzeroski;Luc De Raedt;Hendrik Blockeel

  • Predicting gene function using hierarchical multi-label decision tree ensembles

    Leander Schietgat;Celine Vens;Jan Struyf;Hendrik Blockeel

  • Knowledge Discovery in Databases: PKDD 2003

    Nada Lavrač;Dragan Gamberger;Ljupčo Todorovski;Hendrik Blockeel

  • Efficient algorithms for decision tree cross-validation

    Hendrik Blockeel;Jan Struyf

  • Decision trees for hierarchical multilabel classification: a case study in functional genomics

    Hendrik Blockeel;Leander Schietgat;Jan Struyf;Sašo Džeroski

  • Improving the efficiency of inductive logic programming through the use of query packs

    Hendrik Blockeel;Luc Dehaspe;Bart Demoen;Gerda Janssens

  • Scaling Up Inductive Logic Programming by Learning from Interpretations

    Hendrik Blockeel;Luc De Raedt;Nico Jacobs;Bart Demoen

  • Decision trees: from efficient prediction to responsible AI

    Unknown

  • Machine Learning: ECML 2003

    Nada Lavrač;Dragan Gamberger;Hendrik Blockeel;Ljupčo Todorovski

  • Hierarchical multi-classification

    Hendrik Blockeel;Maurice Bruynooghe;Sašo Džeroski;Jan Ramon

  • Experiment databases

    Joaquin Vanschoren;Hendrik Blockeel;Bernhard Pfahringer;Geoffrey Holmes

  • Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner

    Kurt Driessens;Jan Ramon;Hendrik Blockeel

  • Mining data from intensive care patients

    Jan Ramon;Daan Fierens;Fabián Güiza;Geert Meyfroidt

  • Multi-instance tree learning

    Hendrik Blockeel;David Page;Ashwin Srinivasan

  • Query transformations for improving the efficiency of ilp systems

    Vítor Santos Costa;Ashwin Srinivasan;Rui Camacho;Hendrik Blockeel

  • On estimating model accuracy with repeated cross-validation

    Gitte Vanwinckelen;Hendrik Blockeel

  • Top-down induction of logical decision trees

    Hendrik Blockeel;Luc De Raedt

  • Multi-relational data mining

    Arno Knobbe;H. Blockeel;Arno Siebes;van der D.M.G. Wallen

  • Top-down induction of first order logical decision trees

    Hendrik Blockeel

  • Decision trees for hierarchical multilabel classification: A case study in functional genomics

    Leander Schietgat;Hendrik Blockeel;Jan Struyf;Saso Dzeroski

Frequent Co-Authors

Jan Ramon
Jan Ramon French Institute for Research in Computer Science and Automation - INRIA
Luc De Raedt
Luc De Raedt KU Leuven
Joaquin Vanschoren
Joaquin Vanschoren Eindhoven University of Technology
Sašo Džeroski
Sašo Džeroski Jožef Stefan Institute
Andreas Bender
Andreas Bender University of Cambridge
Siegfried Nijssen
Siegfried Nijssen Université Catholique de Louvain
Bart Goethals
Bart Goethals University of Antwerp
Toon Calders
Toon Calders University of Antwerp
Kristian Kersting
Kristian Kersting Technical University of Darmstadt

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