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Computer Science
USA
2023

D-Index & Metrics

Computer Science

D-Index
113
Citations
151271
World Ranking
195
National Ranking
112

Pietro Perona 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 Pietro Perona 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: 408 publications — 88th percentile

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

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

Pietro Perona 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 Pietro Perona 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: 113 D-Index — 99th percentile

99% 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 United States Leader Award
  • 2021 - IEEE Fellow For contributions to visual recognition algorithms and datasets

Overview

Pietro Perona is affiliated with the California Institute of Technology in the United States and works primarily in the field of Computer Science. Their research focuses on several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Ecology, and Cell Biology.

The main topics of Pietro Perona's work include:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Face Recognition and Analysis
  • Human Pose and Action Recognition
  • Face and Expression Recognition
  • Advanced Image and Video Retrieval Techniques
  • Zebrafish Biomedical Research Applications

Frequent coauthors in Pietro Perona's publications are:

  • Elijah Cole
  • Oisin Mac Aodha
  • Neehar Kondapaneni
  • Grant Van Horn
  • Markus Marks

Regarding publication venues, Pietro Perona has contributed extensively to:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Journal of Computer Vision

Selected recent papers include:

  • "Caltech-UCSD Birds-200-2011 Dataset" (2024) published in The Caltech Institute Archives (California Institute of Technology)
  • "RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection" (2024) published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Mice in a labyrinth show rapid learning, sudden insight, and efficient exploration" (2021) published in eLife
  • "Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer" (2022) presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Computer Vision in the Operating Room: Opportunities and Caveats" (2020) published in IEEE Transactions on Medical Robotics and Bionics

Pietro Perona was named an IEEE Fellow in 2021 for contributions to visual recognition algorithms and datasets.

Best Publications

  • Microsoft COCO: Common Objects in Context

    Tsung-Yi Lin;Michael Maire;Serge J. Belongie;James Hays

  • Scale-space and edge detection using anisotropic diffusion

    P. Perona;J. Malik

  • A Bayesian hierarchical model for learning natural scene categories

    L. Fei-Fei;P. Perona

  • Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories

    Li Fei-Fei;R. Fergus;P. Perona

  • Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories

    Li Fei-Fei;Rob Fergus;Pietro Perona

  • Graph-Based Visual Saliency

    Jonathan Harel;Christof Koch;Pietro Perona

  • Pedestrian Detection: An Evaluation of the State of the Art

    P. Dollar;C. Wojek;B. Schiele;P. Perona

  • The Caltech-UCSD Birds-200-2011 Dataset

    Catherine Wah;Steve Branson;Peter Welinder;Pietro Perona

  • One-shot learning of object categories

    Li Fei-Fei;R. Fergus;P. Perona

  • Object class recognition by unsupervised scale-invariant learning

    R. Fergus;P. Perona;A. Zisserman

  • Microsoft COCO: Common Objects in Context

    Tsung-Yi Lin;Michael Maire;Serge Belongie;Lubomir Bourdev

  • Caltech-256 Object Category Dataset

    Gregory Griffin;Alex Holub;Pietro Perona

  • Fast Feature Pyramids for Object Detection

    Piotr Dollar;Ron Appel;Serge Belongie;Pietro Perona

  • Self-Tuning Spectral Clustering

    Lihi Zelnik-manor;Pietro Perona

  • Pedestrian detection: A benchmark

    Piotr Dollar;Christian Wojek;Bernt Schiele;Pietro Perona

  • Integral Channel Features

    Piotr Dollár;Zhuowen Tu;Pietro Perona;Serge J. Belongie

  • Preattentive texture discrimination with early vision mechanisms

    Jitendra Malik;Pietro Perona

  • The iNaturalist Species Classification and Detection Dataset

    Grant Van Horn;Oisin Mac Aodha;Yang Song;Yin Cui

  • The Multidimensional Wisdom of Crowds

    Peter Welinder;Steve Branson;Pietro Perona;Serge J. Belongie

  • Rapid natural scene categorization in the near absence of attention

    Fei Fei Li;Rufin VanRullen;Christof Koch;Pietro Perona

  • Caltech-UCSD Birds 200

    Peter Welinder;Steve Branson;Takeshi Mita;Catherine Wah

Frequent Co-Authors

Serge Belongie
Serge Belongie University of Copenhagen
Stefano Soatto
Stefano Soatto University of California, Los Angeles
David J. Anderson
David J. Anderson California Institute of Technology
Christof Koch
Christof Koch Allen Institute for Brain Science
Piotr Dollar
Piotr Dollar Facebook (United States)
Andrew Zisserman
Andrew Zisserman University of Oxford
Michael C. Burl
Michael C. Burl Jet Propulsion Lab
Rob Fergus
Rob Fergus New York University
Jitendra Malik
Jitendra Malik University of California, Berkeley
Max Welling
Max Welling University of Amsterdam

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