World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
12902
World Ranking
11879
National Ranking
297

Marco Congedo 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 Congedo 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: 136 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Marco Congedo 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 Congedo 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Marco Congedo is affiliated with the Centre national de la recherche scientifique (CNRS) in France. Their research primarily spans the field of neuroscience, with a particular focus on cognitive neuroscience, cellular and molecular neuroscience, sensory systems, signal processing, and neurology.

The scientist's work addresses several core topics in brain research and neural engineering. The main topics covered by their publications include:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Hearing, Cochlea, Tinnitus, Genetics
  • Blind Source Separation Techniques
  • Vestibular and auditory disorders
  • Hearing Loss and Rehabilitation

Marco Congedo's recent publications include the following papers:

  • Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist), 2020, Brain
  • Dimensionality Transcending: A Method for Merging BCI Datasets With Different Dimensionalities, 2020, IEEE Transactions on Biomedical Engineering
  • Approximate Joint Diagonalization with Riemannian Optimization on the General Linear Group, 2020, SIAM Journal on Matrix Analysis and Applications
  • Dimensionality Reduction For Bci Classification Using Riemannian Geometry, 2020, HAL (Le Centre pour la Communication Scientifique Directe)
  • REM Sleep Impairment May Underlie Sleep-Driven Modulations of Tinnitus in Sleep Intermittent Tinnitus Subjects: A Controlled Study, 2023, International Journal of Environmental Research and Public Health

The main venues where Marco Congedo has published include:

  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Hearing Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Médecine du Sommeil
  • Brain

Frequent co-authors collaborating with Marco Congedo are:

  • Robin Guillard
  • Alain Londero
  • Jérémie Mattout
  • Sotirios Papadopoulos
  • Maciej J Szul

The research contributions of Marco Congedo center on advancing understanding within both fundamental and applied neuroscience fields. Their work on neurofeedback, brain-computer interfaces, and auditory disorders contributes to interdisciplinary intersections between neural engineering and sensory system studies.

Best Publications

  • A review of classification algorithms for EEG-based brain–computer interfaces

    Fabien Lotte;Marco Congedo;Anatole Lécuyer;Fabrice Lamarche

  • A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update

    Fabien Lotte;Laurent Bougrain;Andrzej Cichocki;Andrzej Cichocki;Maureen Clerc

  • Openvibe: An open-source software platform to design, test, and use brain--computer interfaces in real and virtual environments

    Yann Renard;Fabien Lotte;Guillaume Gibert;Marco Congedo

  • Multiclass Brain–Computer Interface Classification by Riemannian Geometry

    A. Barachant;S. Bonnet;M. Congedo;C. Jutten

  • Classification of covariance matrices using a Riemannian-based kernel for BCI applications

    Alexandre Barachant;StéPhane Bonnet;Marco Congedo;Christian Jutten

  • Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review

    Marco Congedo;Alexandre Barachant;Rajendra Bhatia

  • The neural correlates of tinnitus-related distress

    Sven Vanneste;Mark Plazier;Elsa van der Loo;Paul Van de Heyning

  • Transfer Learning: A Riemannian Geometry Framework With Applications to Brain–Computer Interfaces

    Paolo Zanini;Marco Congedo;Christian Jutten;Salem Said

  • Tinnitus Intensity Dependent Gamma Oscillations of the Contralateral Auditory Cortex

    Elsa van der Loo;Steffen Gais;Marco Congedo;Sven Vanneste

  • Riemannian geometry applied to BCI classification

    Alexandre Barachant;Stéphane Bonnet;Marco Congedo;Christian Jutten

  • Low-Resolution Electromagnetic Tomography Neurofeedback

    Marco Congedo;Joel Lubar;D. Joffe

  • Riemannian Procrustes Analysis: Transfer Learning for Brain–Computer Interfaces

    Pedro Luiz Coelho Rodrigues;Christian Jutten;Marco Congedo

  • On the blind source separation of human electroencephalogram by approximate joint diagonalization of second order statistics.

    Marco Congedo;Cédric Gouy-Pailler;Christian Jutten

  • Classification of movement intention by spatially filtered electromagnetic inverse solutions

    Marco Congedo;Fabien Lotte;Anatole Lécuyer

  • Nonstationary Brain Source Separation for Multiclass Motor Imagery

    C. Gouy-Pailler;M. Congedo;C. Brunner;C. Jutten

  • A robust sensor-selection method for P300 brain–computer interfaces

    Hubert Cecotti;Bertrand Rivet;Marco Congedo;Christian Jutten

  • A Plug&Play P300 BCI Using Information Geometry

    Alexandre Barachant;Marco Congedo

  • " Brain Invaders": a prototype of an open-source P300-based video game working with the OpenViBE platform

    Marco Congedo;Matthieu Goyat;Nicolas Tarrin;Gelu Ionescu

  • A New Generation of Brain-Computer Interface Based on Riemannian Geometry

    Marco Congedo;Alexandre Barachant;Anton Andreev

  • A comparison of recording modalities of P300 event-related potentials (ERP) for brain-computer interface (BCI) paradigm

    L. Mayaud;M. Congedo;A. Van Laghenhove;A. Van Laghenhove;D. Orlikowski;D. Orlikowski

Frequent Co-Authors

Christian Jutten
Christian Jutten Grenoble Alpes University
Dirk De Ridder
Dirk De Ridder University of Otago
Anatole Lécuyer
Anatole Lécuyer French Institute for Research in Computer Science and Automation - INRIA
Fabien Lotte
Fabien Lotte French Institute for Research in Computer Science and Automation - INRIA
Joel F. Lubar
Joel F. Lubar University of Tennessee at Knoxville
Sven Vanneste
Sven Vanneste Trinity College Dublin
Jérémie Mattout
Jérémie Mattout Grenoble Alpes University
Gert Pfurtscheller
Gert Pfurtscheller Graz University of Technology
Clemens Brunner
Clemens Brunner University of Graz
Alain Rakotomamonjy
Alain Rakotomamonjy Criteo (France)

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