World's Best Scientists 2026 revealed!
Marc M. Van Hulle

Marc M. Van Hulle

D-Index & Metrics

Computer Science

D-Index
39
Citations
5834
World Ranking
9831
National Ranking
95

Marc M. Van Hulle 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 Marc M. Van Hulle 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: 306 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Marc M. Van Hulle 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 Marc M. Van Hulle 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.

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to biomedical signal processing and biological modeling

Overview

Marc M. Van Hulle is affiliated with KU Leuven in Belgium. Their research contributions primarily focus on neuroscience, with a publication record of 88 works in this area. They have specialized extensively in cognitive neuroscience, contributing 72 works to the subfield, with additional research spanning cellular and molecular neuroscience, electrical and electronic engineering, human-computer interaction, and experimental and cognitive psychology.

Their research topics encompass:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Functional Brain Connectivity Studies
  • Neural and Behavioral Psychology Studies
  • Advanced Memory and Neural Computing
  • Gaze Tracking and Assistive Technology

Marc M. Van Hulle has contributed frequently to the Journal of Neural Engineering with nine publications. Other common publication venues include:

  • Frontiers in Human Neuroscience
  • IEEE Transactions on Neural Networks and Learning Systems
  • Communications Biology
  • Biosensors

Collaborations occur regularly with several researchers, notably:

  • Benjamin Wittevrongel (11 coauthored works)
  • Elvira Khachatryan (9 coauthored works)
  • Arno Libert (8 coauthored works)
  • Valentina Pergher (8 coauthored works)
  • Evelien Carrette (6 coauthored works)

Recent selected publications include:

  • Localization of deep brain activity with scalp and subdural EEG, 2020, NeuroImage
  • Cognitive tasks propagate the neural entrainment in response to a visual 40 Hz stimulation in humans, 2022, Frontiers in Aging Neuroscience
  • Practical real-time MEG-based neural interfacing with optically pumped magnetometers, 2021, BMC Biology
  • N-Back Related ERPs Depend on Stimulus Type, Task Structure, Pre-processing, and Lab Factors, 2020, Frontiers in Human Neuroscience
  • Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance, 2020, IEEE Transactions on Neural Networks and Learning Systems

An award received by Marc M. Van Hulle is the IEEE Fellow honor awarded in 2014 for contributions to biomedical signal processing and biological modeling.

Best Publications

  • The Delay Vector Variance Method for Detecting Determinism and Nonlinearity in Time Series

    Temujin Gautama;Danilo P. Mandic;Marc M. Van Hulle

  • A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features

    Karl Pauwels;M. Tomasi;Javier Diaz Alonso;E. Ros

  • Indications of nonlinear structures in brain electrical activity.

    Temujin Gautama;Danilo P. Mandic;Marc M. Van Hulle

  • Faithful Representations and Topographic Maps: From Distortion- to Information-Based Self-Organization

    Marc M. Van Hulle

  • Comparison of classification methods for P300 brain-computer interface on disabled subjects

    Nikolay V. Manyakov;Nikolay Chumerin;Adrien Combaz;Marc M. Van Hulle

  • Edgeworth Approximation of Multivariate Differential Entropy

    Marc M. Van Hulle

  • A differential entropy based method for determining the optimal embedding parameters of a signal

    T. Gautama;D.P. Mandic;M.M. Van Hulle

  • Sampled sinusoidal stimulation profile and multichannel fuzzy logic classification for monitor-based phase-coded SSVEP brain–computer interfacing

    Nikolay V Manyakov;Nikolay Chumerin;Arne Robben;Adrien Combaz

  • An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals

    Yili Xia;B Jelfs;M M Van Hulle;J C Principe

  • The formation of topographic maps that maximize the average mutual information of the output responses to noiseless input signals

    Marc M. Van Hulle

  • Designing a brain-computer interface controlled video-game using consumer grade EEG hardware

    Marijn van Vliet;Arne Robben;Nikolay Chumerin;Nikolay V. Manyakov

  • Kernel-based equiprobabilistic topographic map formation

    Marc M. Van Hulle

  • A novel method for determining the nature of time series

    T. Gautama;D.P. Mandic;M.M. Van Hulle

  • A comparison of two spelling Brain-Computer Interfaces based on visual P3 and SSVEP in Locked-In Syndrome.

    Adrien Combaz;Camille Chatelle;Arne Robben;Gertie Vanhoof

  • ENHANCING THE YIELD OF HIGH-DENSITY ELECTRODE ARRAYS THROUGH AUTOMATED ELECTRODE SELECTION

    Gert Van Dijck;Karsten Seidl;Oliver Paul;Patrick Ruther

  • Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis

    Gert Van Dijck;Marc M. Van Hulle

  • Distinct Mechanisms for Coding of Visual Actions in Macaque Temporal Cortex

    Joris Vangeneugden;Patrick A. De Mazière;Marc M. Van Hulle;Tobias Jaeggli

  • Encoding of Categories by Noncategory-Specific Neurons in the Inferior Temporal Cortex

    Elizabeth Thomas;Marc M. Van Hulle;Rufin Vogels

  • The complex local mean decomposition

    Cheolsoo Park;David Looney;Marc M. Van Hulle;Danilo P. Mandic

  • Signal nonlinearity in fMRI: a comparison between BOLD and MION

    T. Gautama;D.P. Mandic;M.M. Van Hulle

  • Self-organizing maps

    Marc M. Van Hulle

Frequent Co-Authors

Danilo P. Mandic
Danilo P. Mandic Imperial College London
Guy A. Orban
Guy A. Orban University of Parma
Paul Boon
Paul Boon Ghent University
Evelien Carrette
Evelien Carrette Ghent University
Rufin Vogels
Rufin Vogels KU Leuven
Norbert Krüger
Norbert Krüger University of Southern Denmark
Jan Larsen
Jan Larsen Technical University of Denmark
Patrick Ruther
Patrick Ruther University of Freiburg

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