World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
53060
World Ranking
1720
National Ranking
875

Laurent Itti 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 Laurent Itti 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: 321 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Laurent Itti 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 Laurent Itti 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: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Laurent Itti is affiliated with the University of Southern California in the United States and specializes in the field of computer science, focusing on subfields such as computer vision and pattern recognition, artificial intelligence, cognitive neuroscience, electrical and electronic engineering, and aerospace engineering.

Their research spans a variety of main topics including:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Adversarial Robustness in Machine Learning
  • Reinforcement Learning in Robotics

Laurent Itti has contributed to multiple scientific publications, with a considerable number appearing in arXiv (Cornell University). Other notable publication venues include the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Scientific Journal of Artificial Intelligence and Blockchain Technologies, Nature Biomedical Engineering, and Nature Machine Intelligence.

The following are some of their recent papers along with publication years and venues:

  • Rapid adaptation of brain-computer interfaces to new neuronal ensembles or participants via generative modelling, 2021, Nature Biomedical Engineering
  • A collective AI via lifelong learning and sharing at the edge, 2024, Nature Machine Intelligence
  • Eye tracking identifies biomarkers in α-synucleinopathies versus progressive supranuclear palsy, 2022, Journal of Neurology
  • An Object-Based Bayesian Framework for Top-Down Visual Attention, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence Systems, 2021, IEEE Transactions on Neural Networks and Learning Systems

Frequent co-authors working alongside Laurent Itti include:

  • Yunhao Ge
  • Sumedh Sontakke
  • Shixian Wen
  • Kiran Lekkala
  • Amanda Rios

Best Publications

  • A model of saliency-based visual attention for rapid scene analysis

    L. Itti;C. Koch;E. Niebur

  • Computational modelling of visual attention.

    Laurent Itti;Christof Koch

  • A saliency-based search mechanism for overt and covert shifts of visual attention.

    Laurent Itti;Christof Koch

  • State-of-the-Art in Visual Attention Modeling

    A. Borji;L. Itti

  • Bayesian surprise attracts human attention.

    Laurent Itti;Pierre Baldi

  • Automatic foveation for video compression using a neurobiological model of visual attention

    L. Itti

  • Modeling the influence of task on attention

    Vidhya Navalpakkam;Laurent Itti

  • Components of bottom-up gaze allocation in natural images

    Robert J. Peters;Asha Iyer;Laurent Itti;Christof Koch

  • Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study

    Ali Borji;D. N. Sihite;L. Itti

  • Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention

    C. Siagian;L. Itti

  • Born Again Neural Networks

    Tommaso Furlanello;Zachary Chase Lipton;Michael Tschannen;Laurent Itti

  • Feature combination strategies for saliency-based visual attention systems

    Laurent Itti;Christof Koch

  • Attention activates winner-take-all competition among visual filters

    D. K. Lee;Laurent Itti;Christof Koch;Jochen Braun

  • Salient object detection: a benchmark

    Ali Borji;Dicky N. Sihite;Laurent Itti

  • An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed

    V. Navalpakkam;L. Itti

  • A principled approach to detecting surprising events in video

    L. Itti;P. Baldi

  • Quantifying center bias of observers in free viewing of dynamic natural scenes.

    Po-He Tseng;Ran Carmi;Ian G. M. Cameron;Douglas P. Munoz

  • Exploiting local and global patch rarities for saliency detection

    Ali Borji;Laurent Itti

  • Quantifying the contribution of low-level saliency to human eye movements in dynamic scenes.

    Laurent Itti

  • Neurobiology of attention

    Laurent Itti;Geraint Rees;John K. Tsotsos

Frequent Co-Authors

Ali Borji
Ali Borji Quintic AI
Douglas P. Munoz
Douglas P. Munoz Queen's University
Christof Koch
Christof Koch Allen Institute for Brain Science
Linda Chang
Linda Chang University of Maryland, Baltimore
Pierre Baldi
Pierre Baldi University of California, Irvine
Tadashi Isa
Tadashi Isa Kyoto University
James D. Weiland
James D. Weiland University of Michigan–Ann Arbor
Michael A. Arbib
Michael A. Arbib University of Southern California
Kyle Brauer Boone
Kyle Brauer Boone Alliant International University
Zachary C. Lipton
Zachary C. Lipton Carnegie Mellon University

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