World's Best Scientists 2026 revealed!
Gérard Dreyfus

Gérard Dreyfus

D-Index & Metrics

Computer Science

D-Index
38
Citations
8710
World Ranking
10031
National Ranking
238

Gérard Dreyfus 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 Gérard Dreyfus 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: 166 publications — 33rd percentile

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

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

Gérard Dreyfus 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 Gérard Dreyfus 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: 38 D-Index — 30th percentile

30% 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

  • 2012 - IEEE Fellow For contributions to machine learning and its applications

Overview

Gérard Dreyfus is affiliated with ESPCI Paris in France and has contributed extensively to the field of neuroscience, with a particular focus on cognitive neuroscience. Their research spans multiple subfields, including psychiatry and mental health, spectroscopy, computational theory and mathematics, and molecular biology.

Dreyfus's work encompasses a range of topics related to brain function and behavior. Notable areas include neural and behavioral psychology studies, EEG and brain-computer interfaces, dementia and cognitive impairment research, spatial neglect and hemispheric dysfunction, computational drug discovery methods, functional brain connectivity studies, and neural dynamics and brain function.

Frequent co-authors collaborating with Dreyfus include:

  • Takfarinas Medani
  • Katia Andrade
  • Thomas Guieysse
  • Solofo Razafimahatratra
  • André Klarsfeld

Several scholarly venues have hosted Dreyfus's publications. These include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Chemical Information and Modeling
  • Critical Care
  • Journal of Integrative Neuroscience
  • Cognitive Neurodynamics

Among recent publications by Gérard Dreyfus are:

  • "A New Machine-Learning Tool for Fast Estimation of Liquid Viscosity. Application to Cosmetic Oils," 2020, Journal of Chemical Information and Modeling
  • "A brain-computer interface for the continuous, real-time monitoring of working memory load in real-world environments," 2020, Cognitive Neurodynamics
  • "How machine learning could be used in clinical practice during an epidemic," 2020, Critical Care
  • "Self-Modulation of Gamma-Band Synchronization through EEG-Neurofeedback Training in the Elderly," 2024, Journal of Integrative Neuroscience
  • "Can a failure in the error-monitoring system explain unawareness of memory deficits in Alzheimer's disease?," 2023, Cortex

In recognition of their work, Dreyfus was named an IEEE Fellow in 2012 for contributions to machine learning and its applications.

Best Publications

  • Single-layer learning revisited: a stepwise procedure for building and training a neural network

    Stefan Knerr;Léon Personnaz;Gérard Dreyfus

  • Neural Networks: Methodology and Applications

    Gérard Dreyfus

  • Collective computational properties of neural networks: New learning mechanisms.

    L. Personnaz;I. Guyon;G. Dreyfus

  • Information storage and retrieval in spin-glass like neural networks

    L. Personnaz;I. Guyon;G. Dreyfus

  • Ranking a random feature for variable and feature selection

    Hervé Stoppiglia;Gérard Dreyfus;Rémi Dubois;Yacine Oussar

  • Réseaux de neurones - Méthodologie et applications

    G Dreyfus;Martinez J.-M.;M Samuelides;M B Gordon

  • Handwritten digit recognition by neural networks with single-layer training

    S. Knerr;L. Personnaz;G. Dreyfus

  • Neural networks and nonlinear adaptive filtering: unifying concepts and new algorithms

    O. Nerrand;P. Roussel-Ragot;L. Personnaz;G. Dreyfus

  • Training wavelet networks for nonlinear dynamic input–output modeling

    Yacine Oussar;Isabelle Rivals;Léon Personnaz;Gérard Dreyfus

  • Initialization by Selection for Wavelet Network Training

    Yacine Oussar;Gérard Dreyfus

  • Development of a silent speech interface driven by ultrasound and optical images of the tongue and lips

    Thomas Hueber;Elie-Laurent Benaroya;Gérard Chollet;Bruce Denby

  • Pairwise Neural Network Classifiers with Probabilistic Outputs

    David Price;Stefan Knerr;Léon Personnaz;Gérard Dreyfus

  • Training recurrent neural networks: why and how? An illustration in dynamical process modeling

    O. Nerrand;P. Roussel-Ragot;D. Urbani;L. Personnaz

  • Diagnosis of Alzheimer's disease with Electroencephalography in a differential framework.

    Nesma Houmani;François Vialatte;François Vialatte;Esteve Gallego-Jutglà;Gérard Dreyfus

  • Eigentongue Feature Extraction for an Ultrasound-Based Silent Speech Interface

    T. Hueber;G. Aversano;G. Chollet;B. Denby

  • Bimodal BCI Using Simultaneously NIRS and EEG

    Yohei Tomita;Francois-Benoit Vialatte;Gerard Dreyfus;Yasue Mitsukura

  • How to be a gray box: dynamic semi-physical modeling

    Yacine Oussar;Gérard Dreyfus

  • Assessment Methods

    Unknown

  • Storage and retrieval of complex sequences in neural networks.

    I. Guyon;L. Personnaz;J. P. Nadal;G. Dreyfus

  • Local overfitting control via leverages

    Gaétan Monari;Gérard Dreyfus

  • Performance analysis of a pipelined backpropagation parallel algorithm

    A. Petrowski;G. Dreyfus;C. Girault

  • Toward a Principled Methodology for Neural Network Design and Performance Evaluation in QSAR. Application to the Prediction of LogP

    Arthur F. Duprat;T. Huynh;Gérard Dreyfus

Frequent Co-Authors

Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Maureen Stone
Maureen Stone Tableau Software (United States)
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Tulay Adali
Tulay Adali University of Maryland, Baltimore County
Jean-Marie Aubry
Jean-Marie Aubry École Nationale Supérieure de Chimie de Lille
Jean Mariani
Jean Mariani Sorbonne University
Sethuraman Panchanathan
Sethuraman Panchanathan Arizona State University
David H. Price
David H. Price University of Iowa
Christiane Linster
Christiane Linster Cornell University
Janine Cossy
Janine Cossy ESPCI Paris

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