World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6935
World Ranking
9715
National Ranking
93

Koen Vanhoof 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 Koen Vanhoof 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: 275 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Koen Vanhoof 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 Koen Vanhoof 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Koen Vanhoof is a researcher affiliated with Hasselt University in Belgium, specializing primarily in the field of Computer Science. Their academic contributions are centered around several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Information Systems, and Computational Theory and Mathematics.

Their research spans a variety of topics within these areas, focusing on:

  • Cognitive Science and Mapping
  • Neural Networks and Applications
  • Cognitive Computing and Networks
  • Text and Document Classification Technologies
  • Rough Sets and Fuzzy Logic
  • Energy Load and Power Forecasting
  • Explainable Artificial Intelligence (XAI)

Vanhoof has published extensively, with recent papers including:

  • Deep neural network to extract high-level features and labels in multi-label classification problems, 2020, Neurocomputing
  • Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches, 2020, Neural Networks
  • Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting, 2020, Applied Soft Computing
  • Data quality measures based on granular computing for multi-label classification, 2021, Information Sciences
  • Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps, 2020, IEEE Transactions on Fuzzy Systems

The venues where Vanhoof frequently publishes demonstrate a concentration in both peer-reviewed journals and preprint platforms, including:

  • arXiv (Cornell University)
  • Neurocomputing
  • IEEE Transactions on Fuzzy Systems
  • Neural Networks
  • Applied Soft Computing

Vanhoof collaborates with a consistent group of co-authors, including:

  • Gonzalo Nápoles
  • Rafael Bello
  • Marilyn Bello
  • Yamisleydi Salgueiro
  • Leonardo Concepción

Best Publications

  • A knowledge-based SWOT-analysis system as an instrument for strategic planning in small and medium sized enterprises

    G. Houben;K. Lenie;K. Vanhoof

  • Using association rules for product assortment decisions: a case study

    Tom Brijs;Gilbert Swinnen;Koen Vanhoof;Geert Wets

  • Traffic accident segmentation by means of latent class clustering.

    Benoît Depaire;Geert Wets;Koen Vanhoof

  • Bankruptcy prediction using a data envelopment analysis

    Agnes Cielen;Ludo Peeters;Koen Vanhoof

  • A review on methods and software for fuzzy cognitive maps

    Gerardo Felix;Gonzalo Nápoles;Rafael Falcon;Wojciech Froelich

  • A business process mining application for internal transaction fraud mitigation

    Mieke Jans;Jan Martijn van der Werf;Nadine Lybaert;Koen Vanhoof

  • Collateral, relationship lending and family firms

    Tensie Steijvers;Wim Voordeckers;Koen Vanhoof

  • On the convergence of sigmoid Fuzzy Cognitive Maps

    Gonzalo Nápoles;Elpiniki Papageorgiou;Rafael Bello;Koen Vanhoof

  • Detecting malicious URLs using machine learning techniques

    Frank Vanhoenshoven;Gonzalo Napoles;Rafael Falcon;Koen Vanhoof

  • Internal fraud risk reduction: Results of a data mining case study

    Mieke Jans;Nadine Lybaert;Koen Vanhoof

  • Integrating Bayesian networks and decision trees in a sequential rule-based transportation model

    Davy Janssens;Geert Wets;Tom Brijs;Koen Vanhoof

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

    Tom Brijs;Bart Goethals;Gilbert Swinnen;Koen Vanhoof

  • Building an Association Rules Framework to Improve Product Assortment Decisions

    Tom Brijs;Gilbert Swinnen;Koen Vanhoof;Geert Wets

  • A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation

    Yongjun Shen;Elke Hermans;Da Ruan;Geert Wets

  • Profiling of High-Frequency Accident Locations by Use of Association Rules

    Karolien Geurts;Geert Wets;Tom Brijs;Koen Vanhoof

  • Mining Navigation Patterns Using a Sequence Alignment Method

    Birgit Hay;Geert Wets;Koen Vanhoof

  • IDENTIFICATION AND RANKING OF BLACK SPOTS: SENSITIVITY ANALYSIS

    Karolien Geurts;Geert Wets;Tom Brijs;Koen Vanhoof

  • Profiling high frequency accident locations using associations rules

    Karolien Geurts;Geert Wets;Tom Brijs;Koen Vanhoof

  • Identifying Decision Structures Underlying Activity Patterns: An Exploration of Data Mining Algorithms

    G Wets;K Vanhoof;TA Theo Arentze;Hjp Harry Timmermans

  • Identifying latently dissatisfied customers and measures for dissatisfaction management

    Johanna Bloemer;Tom Brijs;Gilbert Swinnen;Koen Vanhoof

  • FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps

    Gonzalo Nápoles;Maikel Leon Espinosa;Isel Grau;Koen Vanhoof

Frequent Co-Authors

Geert Wets
Geert Wets Hasselt University
Tom Brijs
Tom Brijs Hasselt University
Davy Janssens
Davy Janssens Hasselt University
Da Ruan
Da Ruan Ghent University
Elpiniki I. Papageorgiou
Elpiniki I. Papageorgiou University Of Thessaly
Dimitris Karlis
Dimitris Karlis Athens University of Economics and Business
Jose L. Salmeron
Jose L. Salmeron CUNEF University
TA Theo Arentze
TA Theo Arentze Eindhoven University of Technology
Harry Timmermans
Harry Timmermans Eindhoven University of Technology
Koen Pauwels
Koen Pauwels Northeastern University

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