World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7510
World Ranking
8816
National Ranking
210

Frédéric Bimbot 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 Frédéric Bimbot 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: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Frédéric Bimbot 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 Frédéric Bimbot 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Frédéric Bimbot is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their work primarily spans the field of Computer Science, with a focus on several specialized subfields and topics.

The main subfields addressed in their research include:

  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computational Mathematics
  • Artificial Intelligence
  • Computer Networks and Communications

Frédéric Bimbot's research topics cover a range of areas, most notably:

  • Speech and Audio Processing
  • Music and Audio Processing
  • Music Technology and Sound Studies
  • Tensor decomposition and applications
  • Speech Recognition and Synthesis
  • Wireless Communication Networks Research
  • Blind Source Separation Techniques

The scientist has a notable publication record with frequent contributions to venues such as:

  • arXiv (Cornell University)
  • Transactions of the International Society for Music Information Retrieval

Recent scholarly works by Frédéric Bimbot include:

  • "Uncovering audio patterns in music with Nonnegative Tucker Decomposition for structural segmentation," 2021, arXiv (Cornell University)
  • "Uncovering audio patterns in music with Nonnegative Tucker Decomposition for structural segmentation," 2020, arXiv (Cornell University)
  • "Barwise Compression Schemes For Audio-Based Music Structure Analysis," 2022, arXiv (Cornell University)
  • "Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals," 2021, arXiv (Cornell University)
  • "Exploring single-song autoencoding schemes for audio-based music structure analysis," 2021, arXiv (Cornell University)

Frequent collaborators in Frédéric Bimbot's work include:

  • Axel Marmoret
  • Jérémy E. Cohen
  • Nancy Bertin
  • Florian Voorwinden
  • Valentin Leplat

Best Publications

  • A tutorial on text-independent speaker verification

    Frédéric Bimbot;Jean-François Bonastre;Corinne Fredouille;Guillaume Gravier

  • The BANCA database and evaluation protocol

    Enrique Bailly-Bailliére;Samy Bengio;Frédéric Bimbot;Miroslav Hamouz

  • A General Flexible Framework for the Handling of Prior Information in Audio Source Separation

    A. Ozerov;E. Vincent;F. Bimbot

  • Second-order statistical measures for text-independent speaker identification

    Frédéric Bimbot;Ivan Magrin-Chagnolleau;Luc Mathan

  • Process for measuring the resemblance between sound samples and apparatus for performing this process

    Frederic Bimbot;Luc Mathan

  • 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

  • Language modeling by variable length sequences: theoretical formulation and evaluation of multigrams

    S. Deligne;F. Bimbot

  • 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

  • Learning unions of orthonormal bases with thresholded singular value decomposition

    S. Lesage;R. Gribonval;F. Bimbot;L. Benaroya

  • Modeling spectral speech transitions using temporal decomposition techniques

    G. Ahlbom;F. Bimbot;G. Chollet

  • Person Authentication by Voice: A Need for Caution

    Jean-François Bonastre;Frédéric Bimbot;Louis-Jean Boë;Joseph P. Campbell

  • Non negative sparse representation for Wiener based source separation with a single sensor

    L. Benaroya;L.M. Donagh;F. Bimbot;R. Gribonval

  • A Robust Method to Count and Locate Audio Sources in a Multichannel Underdetermined Mixture

    S. Arberet;R. Gribonval;F. Bimbot

  • Shift-invariant dictionary learning for sparse representations: Extending K-SVD

    Boris Mailhe;Sylvain Lesage;Remi Gribonval;Frederic Bimbot

  • Nonnegative matrix factorization and spatial covariance model for under-determined reverberant audio source separation

    Simon Arberet;Alexey Ozerov;Ngoc Q.K. Duong;Emmanuel Vincent

  • Speaker diarization using bottom-up clustering based on a parameter-derived distance between adapted GMMs.

    Michael Betser;Frédéric Bimbot;Mathieu Ben;Guillaume Gravier

  • Text-free speaker recognition using an arithmetic-harmonic sphericity measure.

    Frédéric Bimbot;Luc Mathan

  • Variable-length sequence matching for phonetic transcription using joint multigrams.

    Sabine Deligne;François Yvon;Frédéric Bimbot

  • HMM based structuring of tennis videos using visual and audio cues

    E. Kijak;G. Gravier;P. Gros;L. Oisel

Frequent Co-Authors

Guillaume Gravier
Guillaume Gravier Centre national de la recherche scientifique, CNRS
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Emmanuel Vincent
Emmanuel Vincent University of Lorraine
Jean-François Bonastre
Jean-François Bonastre University of Avignon
Pierre Vandergheynst
Pierre Vandergheynst École Polytechnique Fédérale de Lausanne
Samy Bengio
Samy Bengio Apple (United States)
Jan Cernocky
Jan Cernocky Brno University of Technology
Shigeki Sagayama
Shigeki Sagayama University of Tokyo
Xavier Rodet
Xavier Rodet Institut de Recherche et Coordination Acoustique Musique
Cédric Févotte
Cédric Févotte Toulouse Institute of Computer Science Research

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