World's Best Scientists 2026 revealed!
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Computer Science
France
2023

D-Index & Metrics

Computer Science

D-Index
47
Citations
10551
World Ranking
6416
National Ranking
137

Patrick Bouthemy 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 Patrick Bouthemy 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: 247 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Patrick Bouthemy 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 Patrick Bouthemy 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: 47 D-Index — 56th percentile

56% 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

  • 2023 - Research.com Computer Science in France Leader Award

Overview

Patrick Bouthemy is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France and works primarily in the field of Computer Science. Their research focuses predominantly on areas related to Computer Vision and Pattern Recognition as well as Computer Graphics and Computer-Aided Design.

Their scholarly output includes a total of 12 publications in Computer Science, with a strong emphasis on advanced vision and imaging techniques. Key topics in their work include Advanced Vision and Imaging, Advanced Image Processing Techniques, Human Pose and Action Recognition, Image Enhancement Techniques, Video Surveillance and Tracking Methods, Visual Attention and Saliency Detection, and Computer Graphics and Visualization Techniques.

Bouthemy has published in several notable venues, including the IEEE Transactions on Pattern Analysis and Machine Intelligence and the IEEE Transactions on Circuits and Systems for Video Technology, as well as on arXiv. These venues reflect their focus on machine intelligence, video technology, and computational imaging.

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology

Among their recent papers are:

  • EM-Driven Unsupervised Learning for Efficient Motion Segmentation, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Trajectory Saliency Detection Using Consistency-Oriented Latent Codes From a Recurrent Auto-Encoder, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • EM-driven unsupervised learning for efficient motion segmentation, 2022, arXiv (Cornell University)
  • Segmenting the motion components of a video: A long-term unsupervised model, 2023, arXiv (Cornell University)
  • Segmenting the Motion Components of a Video: A Long-Term Unsupervised Model, 2025, IEEE Transactions on Pattern Analysis and Machine Intelligence

Bouthemy frequently collaborates with several co-authors, including Etienne Meunier with whom they have co-authored four papers, Anaïs Badoual with two joint publications, as well as Léo Maczyta and Olivier Le Meur, each with one joint work.

  • Etienne Meunier
  • Anaïs Badoual
  • Léo Maczyta
  • Olivier Le Meur

Best Publications

  • Robust multiresolution estimation of parametric motion models

    Jean-Marc Odobez;Patrick Bouthemy

  • Better Exploiting Motion for Better Action Recognition

    Mihir Jain;Herve Jegou;Patrick Bouthemy

  • Optical flow modeling and computation

    Denis Fortun;Patrick Bouthemy;Charles Kervrann

  • Computation and analysis of image motion: a synopsis of current problems and methods

    Amar Mitiche;Patrick Bouthemy

  • Multimodal estimation of discontinuous optical flow using Markov random fields

    F. Heitz;P. Bouthemy

  • Motion segmentation and qualitative dynamic scene analysis from an image sequence

    Patrick Bouthemy;Edouard François

  • Sonar image segmentation using an unsupervised hierarchical MRF model

    M. Mignotte;C. Collet;P. Perez;P. Bouthemy

  • A unified approach to shot change detection and camera motion characterization

    P. Bouthemy;M. Gelgon;F. Ganansia

  • Patch-Based Nonlocal Functional for Denoising Fluorescence Microscopy Image Sequences

    J. Boulanger;C. Kervrann;P. Bouthemy;P. Elbau

  • Action Localization with Tubelets from Motion

    Mihir Jain;Jan van Gemert;Hervé Jégou;Patrick Bouthemy

  • Multiscale minimization of global energy functions in some visual recovery problems

    F. Heitz;P. Perez;P. Bouthemy

  • Region-based tracking using affine motion models in long image sequences

    François G. Meyer;Patrick Bouthemy

  • Robust real-time visual tracking using a 2D-3D model-based approach

    E. Marchand;P. Bouthemy;F. Chaumette;V. Moreau

  • A maximum likelihood framework for determining moving edges

    P. Bouthemy

  • A 2D-3D Model-Based Approach to Real-Time Visual Tracking

    Éric Marchand;Patrick Bouthemy;François Chaumette

  • Real-time tracking of moving persons by exploiting spatio-temporal image slices

    Y. Ricquebourg;P. Bouthemy

  • Robust tracking with motion estimation and local Kernel-based color modeling

    R. Venkatesh Babu;Patrick Pérez;Patrick Bouthemy

  • Three-Class Markovian Segmentation of High-Resolution Sonar Images

    M. Mignotte;C. Collet;P. Pérez;P. Bouthemy

  • Space-Time Adaptation for Patch-Based Image Sequence Restoration

    J. Boulanger;C. Kervrann;P. Bouthemy

  • Motion recognition using nonparametric image motion models estimated from temporal and multiscale co-occurrence statistics

    R. Fablet;P. Bouthemy

Frequent Co-Authors

François Chaumette
François Chaumette University of Rennes
Hervé Jégou
Hervé Jégou Facebook (United States)
Jan C. van Gemert
Jan C. van Gemert Delft University of Technology
Eric Marchand
Eric Marchand University of Rennes
R. Venkatesh Babu
R. Venkatesh Babu Indian Institute of Science
Cees G. M. Snoek
Cees G. M. Snoek University of Amsterdam
Jean-Marc Odobez
Jean-Marc Odobez Idiap Research Institute
Etienne Mémin
Etienne Mémin French Institute for Research in Computer Science and Automation - INRIA
Moncef Gabbouj
Moncef Gabbouj Tampere University

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