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Computer Science
France
2026

D-Index & Metrics

Computer Science

D-Index
86
Citations
63229
World Ranking
744
National Ranking
9

Jean Ponce 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 Jean Ponce 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: 291 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Jean Ponce 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 Jean Ponce 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: 86 D-Index — 95th percentile

95% 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

  • 2026 - Research.com Computer Science in France Leader Award
  • 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

Jean Ponce is affiliated with the École Normale Supérieure in France and specializes in fields related to computer science and engineering. Their research primarily engages with areas such as computer vision and pattern recognition, artificial intelligence, media technology, aerospace engineering, and computational mechanics.

The scientist's main topics of work cover a broad spectrum of advanced computational techniques, including:

  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Sparse and Compressive Sensing Techniques

Jean Ponce has authored numerous publications, frequently contributing to prominent venues such as arXiv (Cornell University), the Monthly Notices of the Royal Astronomical Society, the IEEE/CVF International Conference on Computer Vision (ICCV), the IEEE Transactions on Pattern Analysis and Machine Intelligence, and ACM Transactions on Graphics.

Notable recent papers include:

  • VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning, 2021, arXiv (Cornell University)
  • Localizing Objects with Self-Supervised Transformers and no Labels, 2021, arXiv (Cornell University)
  • Unsupervised Layered Image Decomposition into Object Prototypes, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • CCVS: Context-aware Controllable Video Synthesis, 2021, arXiv (Cornell University)

The scientist collaborates with several frequent co-authors, including:

  • Julien Mairal
  • Cordelia Schmid
  • Bruno Lecouat
  • Théo Bodrito
  • Olivier Flasseur

Best Publications

  • Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

    S. Lazebnik;C. Schmid;J. Ponce

  • Computer Vision: A Modern Approach

    David A. Forsyth;Jean Ponce

  • Accurate, Dense, and Robust Multiview Stereopsis

    Yasutaka Furukawa;Jean Ponce

  • Accurate, Dense, and Robust Multi-View Stereopsis

    Y. Furukawa;J. Ponce

  • Online Learning for Matrix Factorization and Sparse Coding

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • Online dictionary learning for sparse coding

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • Non-local sparse models for image restoration

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • A Theoretical Analysis of Feature Pooling in Visual Recognition

    Y-lan Boureau;Y-lan Boureau;Jean Ponce;Jean Ponce;Yann Lecun

  • A sparse texture representation using local affine regions

    S. Lazebnik;C. Schmid;J. Ponce

  • Learning mid-level features for recognition

    Y-Lan Boureau;Francis Bach;Yann LeCun;Jean Ponce

  • Supervised Dictionary Learning

    Julien Mairal;Jean Ponce;Guillermo Sapiro;Andrew Zisserman

  • Task-Driven Dictionary Learning

    J. Mairal;F. Bach;J. Ponce

  • Discriminative learned dictionaries for local image analysis

    J. Mairal;F. Bach;J. Ponce;G. Sapiro

  • Learning a convolutional neural network for non-uniform motion blur removal

    Jian Sun;Wenfei Cao;Zongben Xu;Jean Ponce

  • Non-uniform Deblurring for Shaken Images

    Oliver Whyte;Josef Sivic;Andrew Zisserman;Jean Ponce

  • Supervised Dictionary Learning

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • A Tensor-Based Algorithm for High-Order Graph Matching

    O. Duchenne;F. Bach;In-So Kweon;Jean Ponce

  • Discriminative clustering for image co-segmentation

    Armand Joulin;Francis Bach;Jean Ponce

  • 3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints

    Fred Rothganger;Svetlana Lazebnik;Cordelia Schmid;Jean Ponce

  • Sparse Modeling for Image and Vision Processing

    Julien Mairal;Francis Bach;Jean Ponce

  • 计算机视觉 : Computer vision一种现代方法a modern approach英文版 / .

    David A. Forsyth;Jean Ponce

Frequent Co-Authors

Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Francis Bach
Francis Bach École Normale Supérieure
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
David J. Kriegman
David J. Kriegman University of California, San Diego
Martial Hebert
Martial Hebert Carnegie Mellon University
Minsu Cho
Minsu Cho Pohang University of Science and Technology
Andrew Zisserman
Andrew Zisserman University of Oxford
Yasutaka Furukawa
Yasutaka Furukawa Simon Fraser University
Ivan Laptev
Ivan Laptev Mohamed bin Zayed University of Artificial Intelligence
Julien Mairal
Julien Mairal French Institute for Research in Computer Science and Automation - INRIA

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