World's Best Scientists 2026 revealed!
Matthieu Cord

Matthieu Cord

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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
61
Citations
18155
World Ranking
3027
National Ranking
48

Matthieu Cord 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 Matthieu Cord 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: 286 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Matthieu Cord 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 Matthieu Cord 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: 61 D-Index — 79th percentile

79% 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

Overview

Matthieu Cord is affiliated with Sorbonne University in France. Their research focuses primarily on computer science, with a specialization in computer vision and pattern recognition. The subfields of study they contribute to include artificial intelligence, automotive engineering, radiology, nuclear medicine and imaging, and signal processing.

The scientist has published extensively in several prominent venues. Their frequent publication outlets include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Computer Vision and Image Understanding
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Matthieu Cord's recent papers cover a range of topics in machine learning and image processing. Key publications include:

  • ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training (2022) published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges (2022) in International Journal of Computer Vision
  • Training data-efficient image transformers & distillation through attention (2020) on arXiv (Cornell University)
  • DiffEdit: Diffusion-based semantic image editing with mask guidance (2022) on arXiv (Cornell University)

Frequent coauthors collaborating with Matthieu Cord include Patrick Pérez, Éloi Zablocki, Mustafa Shukor, Mickaël Chen, and Guillaume Couairon. This network highlights a collaborative research environment spanning various aspects of computer vision and artificial intelligence.

The main topics covered in Matthieu Cord's work demonstrate a focus on advanced methodologies, particularly in machine learning applications. These topics include:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Autonomous Vehicle Technology and Safety
  • Natural Language Processing Techniques

Best Publications

  • Training data-efficient image transformers & distillation through attention

    Hugo Touvron;Matthieu Cord;Douze Matthijs;Francisco Massa

  • ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

    Tuan-Hung Vu;Himalaya Jain;Maxime Bucher;Matthieu Cord

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

    Hugo Touvron;Piotr Bojanowski;Mathilde Caron;Matthieu Cord

  • MUTAN: Multimodal Tucker Fusion for Visual Question Answering

    Hedi Ben-younes;Remi Cadene;Matthieu Cord;Nicolas Thome

  • Training data-efficient image transformers & distillation through attention

    Hugo Touvron;Matthieu Cord;Matthijs Douze;Francisco Massa

  • PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning

    Arthur Douillard;Matthieu Cord;Charles Ollion;Thomas Robert

  • DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

    Unknown

  • Boosting Few-Shot Visual Learning With Self-Supervision

    Spyros Gidaris;Andrei Bursuc;Nikos Komodakis;Patrick Perez Perez

  • WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation

    Thibaut Durand;Taylor Mordan;Nicolas Thome;Matthieu Cord

  • Supervised Learning

    Unknown

  • MUREL: Multimodal Relational Reasoning for Visual Question Answering

    Remi Cadene;Hedi Ben-younes;Matthieu Cord;Nicolas Thome

  • DiffEdit: Diffusion-based semantic image editing with mask guidance

    Unknown

  • Pooling in image representation: The visual codeword point of view

    Sandra Avila;Nicolas Thome;Matthieu Cord;Eduardo Valle

  • Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges

    Unknown

  • Addressing Failure Prediction by Learning Model Confidence

    Charles Corbière;Nicolas Thome;Avner Bar-Hen;Matthieu Cord

  • Machine Learning Techniques for Multimedia

    Matthieu Cord;Pádraig Cunningham

  • BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection

    Hedi Ben-younes;Remi Cadene;Nicolas Thome;Matthieu Cord

  • Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings

    Micael Carvalho;Rémi Cadène;David Picard;Laure Soulier

  • Recipe recognition with large multimodal food dataset

    Xin Wang;Devinder Kumar;Nicolas Thome;Matthieu Cord

  • WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks

    Thibaut Durand;Nicolas Thome;Matthieu Cord

  • RUBi: Reducing Unimodal Biases in Visual Question Answering

    Remi Cadene;Corentin Dancette;Hedi Ben-younes;Matthieu Cord

  • DADA: Depth-Aware Domain Adaptation in Semantic Segmentation

    Tuan-Hung Vu;Himalaya Jain;Maxime Bucher;Matthieu Cord

  • PLOP: Learning without Forgetting for Continual Semantic Segmentation

    Arthur Douillard;Yifu Chen;Arnaud Dapogny;Matthieu Cord

  • Active Learning Methods for Interactive Image Retrieval

    P.H. Gosselin;M. Cord

  • Zero-Shot Semantic Segmentation

    Maxime Bucher;Tuan-Hung Vu;Matthieu Cord;Patrick Pérez

  • RUBi: Reducing Unimodal Biases for Visual Question Answering

    Rémi Cadène;Corentin Dancette;Hedi Ben-younes;Matthieu Cord

Frequent Co-Authors

Nicolas Thome
Nicolas Thome Sorbonne University
Hervé Jégou
Hervé Jégou Facebook (United States)
Joo-Hwee Lim
Joo-Hwee Lim Agency for Science, Technology and Research
Devi Parikh
Devi Parikh Facebook (United States)
Matthijs Douze
Matthijs Douze Facebook (United States)
Nikos Komodakis
Nikos Komodakis University of Crete
Liming Chen
Liming Chen École Centrale de Lyon
Nicolas Ballas
Nicolas Ballas Facebook (United States)
Pádraig Cunningham
Pádraig Cunningham University College Dublin

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