World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
6346
World Ranking
12946
National Ranking
5228

Olivier Le Meur 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 Olivier Le Meur 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Olivier Le Meur 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 Olivier Le Meur 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Olivier Le Meur is affiliated with InterDigital in the United States and has contributed extensively to the field of computer science, with a specific focus on computer vision and pattern recognition. Their research intersects with several subfields, including human-computer interaction, cognitive neuroscience, ocean engineering, and psychiatry and mental health.

Their main topics of research encompass various aspects of visual perception and computational techniques, particularly:

  • Visual Attention and Saliency Detection
  • Gaze Tracking and Assistive Technology
  • Image and Video Quality Assessment
  • Image Enhancement Techniques
  • Virtual Reality Applications and Impacts
  • Advanced Image Processing Techniques
  • Evacuation and Crowd Dynamics

Le Meur has published numerous papers in prominent venues, with recent contributions including:

  • "Eye-Gaze Activity in Crowds: Impact of Virtual Reality and Density" (2020), 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
  • "FANet: Features Adaptation Network for 360° Omnidirectional Salient Object Detection" (2020), IEEE Signal Processing Letters
  • "EyeTrackUAV2: A Large-Scale Binocular Eye-Tracking Dataset for UAV Videos" (2020), Drones
  • "Effective schizophrenia recognition using discriminative eye movement features and model-metric based features" (2020), Pattern Recognition Letters
  • "Can we accurately predict where we look at paintings?" (2020), PLoS ONE

Frequently, they collaborate with a set of coauthors who have contributed to a significant number of joint publications. These coauthors include Rémi Cozot, Claire-Hélène Demarty, Brendan David-John, Ricardo Eiris, and Masoud Gheisari. The collaboration with these researchers highlights an emphasis on interdisciplinary work.

Le Meur's work appears in various publication venues known for expertise in their respective domains:

  • OPAL (Open@LaTrobe) (La Trobe University)
  • 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
  • IEEE Signal Processing Letters
  • Drones
  • Neurocomputing

This body of work shows a consistent focus on understanding and developing computational models related to eye tracking, saliency detection in images and videos, and the impact of virtual reality environments on human visual attention.

Best Publications

  • Image Inpainting : Overview and Recent Advances

    Christine Guillemot;Olivier Le Meur

  • Predicting visual fixations on video based on low-level visual features.

    Olivier Le Meur;Patrick Le Callet;Dominique Barba

  • Methods for comparing scanpaths and saliency maps: strengths and weaknesses.

    Olivier Le Meur;Thierry Baccino

  • Saliency Tree: A Novel Saliency Detection Framework

    Zhi Liu;Wenbin Zou;Olivier Le Meur

  • Superpixel-Based Spatiotemporal Saliency Detection

    Zhi Liu;Xiang Zhang;Shuhua Luo;Olivier Le Meur

  • Depth-Aware Salient Object Detection and Segmentation via Multiscale Discriminative Saliency Fusion and Bootstrap Learning

    Hangke Song;Zhi Liu;Huan Du;Guangling Sun

  • Examplar-based inpainting based on local geometry

    Olivier Le Meur;Josselin Gautier;Christine Guillemot

  • Saccadic model of eye movements for free-viewing condition.

    Olivier Le Meur;Zhi Liu

  • Considering Temporal Variations of Spatial Visual Distortions in Video Quality Assessment

    Unknown

  • Co-Saliency Detection Based on Hierarchical Segmentation

    Zhi Liu;Wenbin Zou;Lina Li;Liquan Shen

  • Hierarchical Super-Resolution-Based Inpainting

    Olivier Le Meur;Mounira Ebdelli;Christine Guillemot

  • Memorability of natural scenes: The role of attention

    Matei Mancas;Olivier Le Meur

  • Depth-based image completion for view synthesis

    Josselin Gautier;Olivier Le Meur;Christine Guillemot

  • Video Inpainting With Short-Term Windows: Application to Object Removal and Error Concealment

    Mounira Ebdelli;Olivier Le Meur;Christine Guillemot

  • Super-resolution-based inpainting

    Olivier Le Meur;Christine Guillemot

  • Prediction of the inter-observer visual congruency (IOVC) and application to image ranking

    Olivier Le Meur;Thierry Baccino;Aline Roumy

  • New insights into ambient and focal visual fixations using an automatic classification algorithm.

    Brice Follet;Olivier Le Meur;Thierry Baccino

  • Introducing context-dependent and spatially-variant viewing biases in saccadic models.

    Olivier Le Meur;Antoine Coutrot

  • Adaptive 3D Rendering based on Region-of-Interest

    Christel Chamaret;Sylvain Godeffroy;Patrick Lopez;Olivier Le Meur

  • Efficient depth map compression based on lossless edge coding and diffusion

    Josselin Gautier;Olivier Le Meur;Christine Guillemot

  • What we see is most likely to be what matters: Visual attention and applications

    Olivier Le Meur;Patrick Le Callet

Frequent Co-Authors

Zhi Liu
Zhi Liu Shanghai University
Christine Guillemot
Christine Guillemot French Institute for Research in Computer Science and Automation - INRIA
Patrick Le Callet
Patrick Le Callet University of Nantes
Patrick Bouthemy
Patrick Bouthemy French Institute for Research in Computer Science and Automation - INRIA
Liquan Shen
Liquan Shen Shanghai University
Kenneth Holmqvist
Kenneth Holmqvist University of Regensburg
Ali Borji
Ali Borji Quintic AI
Julien Pettré
Julien Pettré French Institute for Research in Computer Science and Automation - INRIA
Beatrice Pesquet-Popescu
Beatrice Pesquet-Popescu University of Paris-Saclay

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