World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
22935
World Ranking
7353
National Ranking
3202

Gabriel Synnaeve 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 Gabriel Synnaeve 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: 121 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Gabriel Synnaeve 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 Gabriel Synnaeve 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Gabriel Synnaeve is a researcher affiliated with Facebook in the United States. Their work spans a variety of topics primarily within computer science, with significant contributions to artificial intelligence, signal processing, and computer vision and pattern recognition.

Their recent publications include the following papers:

  • DINOv2: Learning Robust Visual Features without Supervision (2023), published in arXiv (Cornell University)
  • End-to-End Object Detection with Transformers (2020), published in Lecture notes in computer science
  • ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • MDETR - Modulated Detection for End-to-End Multi-Modal Understanding (2021), published in 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Code Llama: Open Foundation Models for Code (2023), published in arXiv (Cornell University)

Frequent coauthors of Gabriel Synnaeve include:

  • Yossi Adi
  • Jade Copet
  • Ronan Collobert
  • Tatiana Likhomanenko
  • Baptiste Rozière

Gabriel Synnaeve has frequently published in several venues, including:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Lecture notes in computer science

The main fields of study encompassed by Gabriel Synnaeve's work include:

  • Computer Science

Within this broad field, subfields of focus comprise:

  • Artificial Intelligence
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Software
  • Information Systems

The principal topics central to their research are:

  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Topic Modeling
  • Speech and Audio Processing
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications

Best Publications

  • End-to-End Object Detection with Transformers

    Nicolas Carion;Francisco Massa;Gabriel Synnaeve;Nicolas Usunier

  • DINOv2: Learning Robust Visual Features without Supervision

    Unknown

  • ResMLP: Feedforward networks for image classification with data-efficient training

    Hugo Touvron;Piotr Bojanowski;Mathilde Caron;Matthieu Cord

  • MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding

    Aishwarya Kamath;Mannat Singh;Yann LeCun;Ishan Misra

  • Code Llama: Open Foundation Models for Code

    Unknown

  • A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft

    Santiago Ontanon;Gabriel Synnaeve;Alberto Uriarte;Florian Richoux

  • Libri-Light: A Benchmark for ASR with Limited or No Supervision

    J. Kahn;M. Riviere;W. Zheng;E. Kharitonov

  • High Fidelity Neural Audio Compression

    Unknown

  • Real Time Speech Enhancement in the Waveform Domain.

    Alexandre Défossez;Gabriel Synnaeve;Yossi Adi

  • Wav2Letter: an End-to-End ConvNet-based Speech Recognition System

    Ronan Collobert;Christian Puhrsch;Gabriel Synnaeve

  • MLS: A Large-Scale Multilingual Dataset for Speech Research.

    Vineel Pratap;Qiantong Xu;Anuroop Sriram;Gabriel Synnaeve

  • XCiT: Cross-Covariance Image Transformers.

    Alaaeldin El-Nouby;Hugo Touvron;Mathilde Caron;Piotr Bojanowski

  • End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures

    Gabriel Synnaeve;Qiantong Xu;Jacob Kahn;Edouard Grave

  • Intrinsic motivation and automatic curricula via asymmetric self-play

    Sainbayar Sukhbaatar;Zeming Lin;Ilya Kostrikov;Gabriel Synnaeve

  • Wav2Letter++: A Fast Open-source Speech Recognition System

    Vineel Pratap;Awni Hannun;Qiantong Xu;Jeff Cai

  • Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training

    Wei-Ning Hsu;Anuroop Sriram;Alexei Baevski;Tatiana Likhomanenko

  • Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks

    Nicolas Usunier;Gabriel Synnaeve;Zeming Lin;Soumith Chintala

  • AudioGen: Textually Guided Audio Generation

    Unknown

  • A Bayesian model for opening prediction in RTS games with application to StarCraft

    Gabriel Synnaeve;Pierre Bessiere

  • Self-Training and Pre-Training are Complementary for Speech Recognition

    Qiantong Xu;Alexei Baevski;Tatiana Likhomanenko;Paden Tomasello

  • Going deeper with Image Transformers

    Hugo Touvron;Matthieu Cord;Alexandre Sablayrolles;Gabriel Synnaeve

  • Fully Convolutional Speech Recognition.

    Neil Zeghidour;Qiantong Xu;Vitaliy Liptchinsky;Nicolas Usunier

  • Learning Filterbanks from Raw Speech for Phone Recognition

    Neil Zeghidour;Nicolas Usunier;Iasonas Kokkinos;Thomas Schaiz

  • Learning Filterbanks from Raw Speech for Phone Recognition

    Neil Zeghidour;Nicolas Usunier;Iasonas Kokkinos;Thomas Schatz

Frequent Co-Authors

Ronan Collobert
Ronan Collobert Facebook (United States)
Nicolas Usunier
Nicolas Usunier Facebook (United States)
Emmanuel Dupoux
Emmanuel Dupoux School for Advanced Studies in the Social Sciences
Pierre Bessière
Pierre Bessière Collège de France
Armand Joulin
Armand Joulin Google (United States)
Hervé Jégou
Hervé Jégou Facebook (United States)
Michael Auli
Michael Auli Facebook (United States)
Arthur Szlam
Arthur Szlam DeepMind (United Kingdom)
Matthijs Douze
Matthijs Douze Facebook (United States)
Katsumi Inoue
Katsumi Inoue National Institute of Informatics

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