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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
65
Citations
20028
World Ranking
2430
National Ranking
28

Rémi Gribonval 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 Rémi Gribonval 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: 341 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Rémi Gribonval 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 Rémi Gribonval 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: 65 D-Index — 83rd percentile

83% 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

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award
  • 2014 - IEEE Fellow For contributions to the theory and applications of sparse signal processing

Overview

Rémi Gribonval is affiliated with the École Normale Supérieure de Lyon in France and has a research profile focused primarily within the field of computer science. Their work extensively covers artificial intelligence, computational mechanics, computer vision and pattern recognition, signal processing, and statistical and nonlinear physics.

The main topics addressed in their research include sparse and compressive sensing techniques, neural networks and applications, privacy-preserving technologies in data, domain adaptation and few-shot learning, matrix theory and algorithms, stochastic gradient optimization techniques, and image and signal denoising methods.

Rémi Gribonval's publication record spans several frequent venues, highlighting a variety of contributions to the academic community. These venues include:

  • arXiv (Cornell University)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Information and Inference A Journal of the IMA
  • Constructive Approximation
  • IEEE Signal Processing Magazine

Their recent published papers cover a range of related topics, including:

  • Training with Quantization Noise for Extreme Model Compression, 2020, arXiv (Cornell University)
  • Approximation Spaces of Deep Neural Networks, 2021, Constructive Approximation
  • A Sparse EEG-Informed fMRI Model for Hybrid EEG-fMRI Neurofeedback Prediction, 2020, Frontiers in Neuroscience
  • Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization, 2020, PLoS ONE
  • Sparsity-Based Audio Declipping Methods: Selected Overview, New Algorithms, and Large-Scale Evaluation, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing

Their frequent co-authors include Elisa Riccietti with 17 joint publications, Pierre Borgnat and Léon Zheng each with 8 joint publications, Antoine Gonon with 6, and Nelly Pustelnik with 5.

In recognition of their contributions to the field, Rémi Gribonval was awarded the IEEE Fellow distinction in 2014 for work related to the theory and applications of sparse signal processing.

Best Publications

  • Performance measurement in blind audio source separation

    E. Vincent;R. Gribonval;C. Fevotte

  • Wavelets on graphs via spectral graph theory

    David K. Hammond;Pierre Vandergheynst;Rémi Gribonval

  • Sparse representations in unions of bases

    R. Gribonval;M. Nielsen

  • The Cosparse Analysis Model and Algorithms

    Sangnam Nam;Mike E. Davies;Michael Elad;Rémi Gribonval

  • Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model

    Ngoc Q K Duong;Emmanuel Vincent;Rémi Gribonval

  • Harmonic decomposition of audio signals with matching pursuit

    R. Gribonval;E. Bacry

  • Fast matching pursuit with a multiscale dictionary of Gaussian chirps

    R. Gribonval

  • Sparse Representations in Audio and Music: From Coding to Source Separation

    Mark D Plumbley;Thomas Blumensath;Laurent Daudet;Remi Gribonval

  • Audio Inpainting

    A. Adler;V. Emiya;M. G. Jafari;M. Elad

  • BSS_EVAL Toolbox User Guide -- Revision 2.0

    Cédric Févotte;Rémi Gribonval;Emmanuel Vincent

  • On the exponential convergence of matching pursuits in quasi-incoherent dictionaries

    R. Gribonval;P. Vandergheynst

  • Adaptation of Bayesian Models for Single-Channel Source Separation and its Application to Voice/Music Separation in Popular Songs

    A. Ozerov;P. Philippe;F. Bimbot;R. Gribonval

  • Audio source separation with a single sensor

    L. Benaroya;F. Bimbot;R. Gribonval

  • Atoms of All Channels, Unite! Average Case Analysis of Multi-Channel Sparse Recovery Using Greedy Algorithms

    Rémi Gribonval;Holger Rauhut;Karin Schnass;Pierre Vandergheynst

  • Mptk: Matching Pursuit Made Tractable

    S. Krstulovic;R. Gribonval

  • A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges

    Rémi Gribonval;Sylvain Lesage

  • Dictionary Identification—Sparse Matrix-Factorization via $ll_1$ -Minimization

    Rémi Gribonval;Karin Schnass

  • From Blind to Guided Audio Source Separation: How models and side information can improve the separation of sound

    Emmanuel Vincent;Nancy Bertin;Remi Gribonval;Frederic Bimbot

  • Highly sparse representations from dictionaries are unique and independent of the sparseness measure

    Rémi Gribonval;Morten Nielsen

  • Near-field acoustic holography using sparse regularization and compressive sampling principles.

    Gilles Chardon;Laurent Daudet;Antoine Peillot;François Ollivier

  • Training with Quantization Noise for Extreme Model Compression

    Angela Fan;Pierre Stock;Benjamin Graham;Edouard Grave

Frequent Co-Authors

Emmanuel Vincent
Emmanuel Vincent University of Lorraine
Pierre Vandergheynst
Pierre Vandergheynst École Polytechnique Fédérale de Lausanne
Frédéric Bimbot
Frédéric Bimbot French Institute for Research in Computer Science and Automation - INRIA
Laurent Daudet
Laurent Daudet Université Paris Cité
Michael Elad
Michael Elad Technion – Israel Institute of Technology
Isabelle Merlet
Isabelle Merlet University of Rennes
Mark D. Plumbley
Mark D. Plumbley King's College London
Pierre Comon
Pierre Comon Grenoble Alpes University
Hervé Jégou
Hervé Jégou Facebook (United States)
Cédric Févotte
Cédric Févotte Toulouse Institute of Computer Science Research

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