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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
54
Citations
9411
World Ranking
4645
National Ranking
92

Gael Richard 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 Gael Richard 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: 323 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Gael Richard 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 Gael Richard 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: 54 D-Index — 69th percentile

69% 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
  • 2017 - IEEE Fellow For contributions to analysis, indexing and decomposition of audio and music signals

Overview

Gael Richard is affiliated with Télécom ParisTech in France and has contributed extensively to the fields of computer science, with a particular focus on signal processing, audio, and music technology. Their research spans multiple subfields including signal processing, computer vision and pattern recognition, artificial intelligence, biomedical engineering, and music.

The scientist's work predominantly centers on topics related to music and audio processing, speech and audio processing, music technology and sound studies, speech recognition and synthesis, video analysis and summarization, diverse musicological studies, and acoustic wave phenomena research.

Frequent co-authors collaborating with Gael Richard include:

  • Geoffroy Peeters
  • Karim M. Ibrahim
  • Elena V. Epure
  • Kilian Schulze-Forster
  • Clement S. J. Doire

They have published in a variety of venues, often contributing to:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEEE Signal Processing Magazine

Some recent papers authored or co-authored by Gael Richard include:

  • Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years, 2023, IEEE Signal Processing Magazine
  • Groove2Groove: One-Shot Music Style Transfer With Supervision From Synthetic Data, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Unsupervised Music Source Separation Using Differentiable Parametric Source Models, 2023, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Phoneme Level Lyrics Alignment and Text-Informed Singing Voice Separation, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Video-to-Music Recommendation Using Temporal Alignment of Segments, 2022, IEEE Transactions on Multimedia

Gael Richard has been recognized as an IEEE Fellow since 2017 for contributions to analysis, indexing, and decomposition of audio and music signals.

Best Publications

  • Events Detection for an Audio-Based Surveillance System

    C. Clavel;T. Ehrette;G. Richard

  • Signal Processing for Music Analysis

    M. Muller;D. P. W. Ellis;A. Klapuri;G. Richard

  • Melody Extraction from Polyphonic Music Signals: Approaches, applications, and challenges

    Justin Salamon;Emilia Gomez;Daniel P. W. Ellis;Gael Richard

  • Fast approximated power iteration subspace tracking

    R. Badeau;B. David;G. Richard

  • Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals

    J.-L. Durrieu;G. Richard;B. David;C. Fevotte

  • Fear-type emotion recognition for future audio-based surveillance systems

    C. Clavel;I. Vasilescu;L. Devillers;G. Richard

  • YAAFE, an Easy to Use and Efficient Audio Feature Extraction Software.

    Benoît Mathieu;Slim Essid;Thomas Fillon;Jacques Prado

  • SPEECHDAT-CAR: a Large Speech Database for Automotive Environments

    Asunción Moreno;Børge Lindberg;Christoph Draxler;Gaël Richard

  • Temporal Integration for Audio Classification With Application to Musical Instrument Classification

    C. Joder;S. Essid;G. Richard

  • Instrument recognition in polyphonic music based on automatic taxonomies

    S. Essid;G. Richard;B. David

  • A Musically Motivated Mid-Level Representation for Pitch Estimation and Musical Audio Source Separation

    J. Durrieu;B. David;G. Richard

  • Musical instrument recognition by pairwise classification strategies

    S. Essid;G. Richard;B. David

  • Transcription and Separation of Drum Signals From Polyphonic Music

    O. Gillet;G. Richard

  • Tempo And Beat Estimation Of Musical Signals.

    Miguel A. Alonso;Gaël Richard;Bertrand David

  • Automatic transcription of drum loops

    O. Gillet;G. Richard

  • Vocal detection in music with support vector machines

    M. Ramona;G. Richard;B. David

  • Gaussian Processes for Underdetermined Source Separation

    Antoine Liutkus;Roland Badeau;Gäel Richard

  • A new perturbation analysis for signal enumeration in rotational invariance techniques

    R. Badeau;B. David;G. Richard

  • Informed source separation through spectrogram coding and data embedding

    Antoine Liutkus;Jonathan Pinel;Roland Badeau;Laurent Girin

  • Methodology and Tools for the evaluation of automatic onset detection algorithms in music.

    Laurent Daudet;Gaël Richard;Pierre Leveau

Frequent Co-Authors

Roland Badeau
Roland Badeau Télécom ParisTech
Bertrand David
Bertrand David Télécom ParisTech
Laurent Daudet
Laurent Daudet Université Paris Cité
James L. Flanagan
James L. Flanagan Rutgers, The State University of New Jersey
Emmanuel Vincent
Emmanuel Vincent University of Lorraine
Laurent Girin
Laurent Girin Grenoble Institute of Technology
Juan Pablo Bello
Juan Pablo Bello New York University
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Stephen E. Levinson
Stephen E. Levinson University of Illinois at Urbana-Champaign

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