World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6943
World Ranking
8853
National Ranking
212

Laurent Besacier 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 Laurent Besacier 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: 357 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Laurent Besacier 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 Laurent Besacier 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

Laurent Besacier is affiliated with Grenoble Alpes University in France and specializes primarily in the field of Computer Science. Their research predominantly focuses on Artificial Intelligence, with additional work encompassing Computer Vision and Pattern Recognition, Molecular Biology, Information Systems, and Literature and Literary Theory.

The main topics addressed in their research include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and Dialogue Systems
  • Speech Recognition and Synthesis
  • Multimodal Machine Learning Applications
  • ICT in Developing Communities
  • Machine Learning in Bioinformatics

Laurent Besacier has contributed to several scientific publications across various venues. The most frequent publishing platforms are:

  • arXiv (Cornell University)
  • Interspeech 2022
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Machine Translation
  • Zenodo (CERN European Organization for Nuclear Research)

Recent research papers include:

  • "Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models" (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "On the Evaluation of Machine Translation for Terminology Consistency" (2021), published in arXiv (Cornell University)
  • "A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems" (2022), presented at Interspeech 2022
  • "Learning From Failure: Data Capture in an Australian Aboriginal Community" (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model" (2022), presented at Interspeech 2022

In addition to journal and conference articles, Besacier has contributed to book publications, including "Statistical Language and Speech Processing" (2020) through Springer Science+Business Media.

Collaborating frequently with other researchers, Laurent Besacier's prominent coauthors include:

  • Marcely Zanon Boito
  • Alexandre Bérard
  • Marco Dinarelli
  • Yannick Estève
  • Vassilina Nikoulina

Best Publications

  • Automatic speech recognition for under-resourced languages: A survey

    Laurent Besacier;Etienne Barnard;Alexey Karpov;Tanja Schultz

  • Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation

    Alexandre Bérard;Olivier Pietquin;Laurent Besacier;Christophe Servan

  • FlauBERT: Unsupervised Language Model Pre-training for French

    Hang Le;Loïc Vial;Jibril Frej;Vincent Segonne

  • Step-by-step and integrated approaches in broadcast news speaker diarization

    Sylvain Meignier;Sylvain Meignier;Daniel Moraru;Corinne Fredouille;Jean-François Bonastre

  • End-to-End Automatic Speech Translation of Audiobooks

    Alexandre Berard;Laurent Besacier;Ali Can Kocabiyikoglu;Olivier Pietquin

  • The zero resource speech challenge 2017

    Ewan Dunbar;Xuan Nga Cao;Juan Benjumea;Julien Karadayi

  • Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation

    Alexandre Berard;Olivier Pietquin;Christophe Servan;Laurent Besacier

  • Information extraction from sound for medical telemonitoring

    D. Istrate;E. Castelli;M. Vacher;L. Besacier

  • Automatic sound detection and recognition for noisy environment

    Alain Dufaux;Laurent Besacier;Michael Ansorge;Fausto Pellandini

  • The Zero Resource Speech Challenge 2019: TTS Without T.

    Ewan Dunbar;Robin Algayres;Julien Karadayi;Mathieu Bernard

  • Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation

    Ali Can Kocabiyikoglu;Laurent Besacier;Olivier Kraif

  • Breaking the unwritten language barrier: the BULB project

    Gilles Adda;Sebastian Stüker;Martine Adda-Decker;Martine Adda-Decker;Odette Ambouroue

  • Automatic Speech Recognition for Under-Resourced Languages: Application to Vietnamese Language

    Viet-Bac Le;L. Besacier

  • GSM speech coding and speaker recognition

    L. Besacier;S. Grassi;A. Dufaux;M. Ansorge

  • Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction

    Maha Elbayad;Laurent Besacier;Jakob Verbeek

  • Localization and selection of speaker-specific information with statistical modeling

    L. Besacier;J. F. Bonastre;C. Fredouille

  • On the Use of Morphological Analysis for Dialectal Arabic Speech Recognition

    Mohamed Afify;Ruhi Sarikaya;Hong-Kwang Jeff Kuo;Laurent Besacier

  • Subband architecture for automatic speaker recognition

    Laurent Besacier;Jean-François Bonastre

  • The ELISA consortium approaches in broadcast news speaker segmentation during the NIST 2003 rich transcription evaluation

    D. Moraru;S. Meignier;C. Fredouille;L. Besacier

  • Monolingual Adapters for Zero-Shot Neural Machine Translation

    Jerin Philip;Alexandre Berard;Matthias Gallé;Laurent Besacier

  • LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech

    Solène Evain;Ha Nguyen;Hang Le;Marcely Zanon Boito

  • Lightweight Adapter Tuning for Multilingual Speech Translation

    Hang Le;Juan Pino;Changhan Wang;Jiatao Gu

Frequent Co-Authors

Jean-François Bonastre
Jean-François Bonastre University of Avignon
Emmanuel Dupoux
Emmanuel Dupoux School for Advanced Studies in the Social Sciences
Jakob Verbeek
Jakob Verbeek Facebook AI Research (FAIR) in Paris
Olivier Pietquin
Olivier Pietquin Google (United States)
Alan W. Black
Alan W. Black Carnegie Mellon University
Florian Metze
Florian Metze Carnegie Mellon University
Lori Lamel
Lori Lamel University of Paris-Saclay
Tanja Schultz
Tanja Schultz University of Bremen
Graham Neubig
Graham Neubig Carnegie Mellon University
Mark Hasegawa-Johnson
Mark Hasegawa-Johnson University of Illinois at Urbana-Champaign

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