World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
10570
World Ranking
6756
National Ranking
107

Marco Wiering 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 Marco Wiering 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: 199 publications — 46th percentile

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

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

Marco Wiering 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 Marco Wiering 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Marco Wiering was affiliated with the University of Groningen in the Netherlands. Their research focused primarily on computer science, with an emphasis on artificial intelligence and its application to diverse fields. The scientist contributed extensively to subfields such as computer vision and pattern recognition, control and systems engineering, plant science, and cardiology and cardiovascular medicine.

Their work covered a range of topics, notably:

  • Smart agriculture and AI
  • Machine learning and data classification
  • Traffic control and management
  • Machine learning and algorithms
  • Reinforcement learning in robotics
  • Digital imaging for blood diseases
  • Machine learning in healthcare

Marco Wiering authored several papers between 2020 and 2021 in various academic venues. Selected publications included:

  • "One-vs-One classification for deep neural networks," 2020, Pattern Recognition
  • "Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering," 2021, Scientific Reports
  • "CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting," 2020, Neurocomputing
  • "Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control," 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
  • "Deep Learning for Identification of Acute Illness and Facial Cues of Illness," 2021, Frontiers in Medicine

The scientist frequently collaborated with other researchers. The most common co-authors included Lambert Schomaker, Anne H. Epema, José Castela Forte, Galiya Yeshmagambetova, and Iwan C.C. van der Horst.

Marco Wiering published often in venues such as arXiv (Cornell University), Scientific Reports, Pattern Recognition, Neurocomputing, and the ICMLA conference.

Best Publications

  • Reinforcement Learning: State-of-the-Art

    Marco Wiering;Martijn van Otterlo

  • Reinforcement Learning and Markov Decision Processes

    Martijn van Otterlo;Marco A. Wiering

  • 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010

    Marco Wiering;Thijs Kooi

  • Multi-Agent Reinforcement Leraning for Traffic Light Control

    Marco Wiering

  • Proceedings of the International Joint Conference on Neural Networks

    Hado van Hasselt;Marco Wiering

  • Reinforcement Learning in Continuous Action Spaces

    H. van Hasselt;M.A. Wiering

  • HQ-learning

    Marco Wiering;Jürgen Schmidhuber

  • A theoretical and empirical analysis of Expected Sarsa

    Harm van Seijen;Hado van Hasselt;Shimon Whiteson;Marco Wiering

  • Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events

    Mohammad Aslani;Mohammad Saadi Mesgari;Marco Wiering

  • Ensemble Algorithms in Reinforcement Learning

    M.A. Wiering;H. van Hasselt

  • Shifting Inductive Bias with Success-Story Algorithm, AdaptiveLevin Search, and Incremental Self-Improvement

    Jürgen Schmidhuber;Jieyu Zhao;Marco Wiering

  • IEEE Symposium Series on Computational Intelligence

    Mahir Karaaba;Olarik Surinta;Lambert Schomaker;Marco Wiering

  • Simulation and optimization of traffic in a city

    M. Wiering;J. Vreeken;J. van Veenen;A. Koopman

  • Proceedings of IEEE International Conference on Evolutionary Computation

    Francesco Puglierin;Madalina M. Drugan;Marco Wiering

  • A model based method for automatic facial expression recognition

    Hans van Kuilenburg;Marco Wiering;Marten den Uyl

  • Explorations in efficient reinforcement learning

    M.A. Wiering

  • Comparing exploration strategies for Q-learning in random stochastic mazes

    Arryon D. Tijsma;Madalina M. Drugan;Marco A. Wiering

  • Junction detection in handwritten documents and its application to writer identification

    Sheng He;Marco Wiering;Lambert Schomaker

  • Efficient model-based exploration

    Marco Wiering;Jürgen Schmidhuber

  • Fast Online Q(λ)

    Marco Wiering;Jürgen Schmidhuber

  • Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, Revised Selected Paper

    Bart Verheij;Marco Wiering

  • 2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

    Amir Shantia;Eric Begue;Marco Wiering

Frequent Co-Authors

Lambert Schomaker
Lambert Schomaker University of Groningen
Jürgen Schmidhuber
Jürgen Schmidhuber King Abdullah University of Science and Technology
Hado van Hasselt
Hado van Hasselt University College London
Pierre Geurts
Pierre Geurts University of Liège
Remco C. Veltkamp
Remco C. Veltkamp Utrecht University
Mehdi Dastani
Mehdi Dastani Utrecht University
Shimon Whiteson
Shimon Whiteson University of Oxford
Frans A. J. Verstraten
Frans A. J. Verstraten University of Sydney
Ignace T. C. Hooge
Ignace T. C. Hooge Utrecht University
John Axelsson
John Axelsson Stockholm University

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