World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
25222
World Ranking
5200
National Ranking
2388

Judy Hoffman 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 Judy Hoffman 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: 89 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Judy Hoffman 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 Judy Hoffman 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Judy Hoffman is affiliated with the Georgia Institute of Technology in the United States. Their research primarily lies within the broad field of Computer Science, with a focus on several specialized subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering, and Aerospace Engineering.

The scientist's work covers a range of main topics:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Video Surveillance and Tracking Methods

Judy Hoffman has coauthored works frequently with several researchers, including:

  • Viraj Prabhu
  • Prithvijit Chattopadhyay
  • Daniel Bolya
  • Duen Horng Chau
  • Kate Saenko

The venues where Judy Hoffman publishes often include:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Lecture notes in computer science
  • Annals of Mathematics and Artificial Intelligence
  • Springer proceedings in advanced robotics

Recent papers authored or coauthored by Judy Hoffman include:

  • Adapting Deep Visuomotor Representations with Weak Pairwise Constraints, 2020, Springer proceedings in advanced robotics
  • Token Merging: Your ViT But Faster, 2022, arXiv (Cornell University)
  • Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles, 2023, arXiv (Cornell University)
  • ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings, 2022, arXiv (Cornell University)
  • Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks, 2023, arXiv (Cornell University)

Best Publications

  • Adversarial Discriminative Domain Adaptation

    Eric Tzeng;Judy Hoffman;Kate Saenko;Trevor Darrell

  • DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

    Jeff Donahue;Yangqing Jia;Oriol Vinyals;Judy Hoffman

  • Deep Domain Confusion: Maximizing for Domain Invariance

    Eric Tzeng;Judy Hoffman;Ning Zhang;Kate Saenko

  • CyCADA: Cycle-Consistent Adversarial Domain Adaptation

    Judy Hoffman;Eric Tzeng;Taesung Park;Jun-Yan Zhu

  • Simultaneous Deep Transfer Across Domains and Tasks

    Eric Tzeng;Judy Hoffman;Trevor Darrell;Kate Saenko

  • FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

    Judy Hoffman;Dequan Wang;Fisher Yu;Trevor Darrell

  • VisDA: The Visual Domain Adaptation Challenge

    Xingchao Peng;Ben Usman;Neela Kaushik;Judy Hoffman

  • Cross Modal Distillation for Supervision Transfer

    Saurabh Gupta;Judy Hoffman;Jitendra Malik

  • Inferring and Executing Programs for Visual Reasoning

    Justin Johnson;Bharath Hariharan;Laurens van der Maaten;Judy Hoffman

  • LSDA: Large Scale Detection through Adaptation

    Judy Hoffman;Sergio Guadarrama;Eric S Tzeng;Ronghang Hu

  • Efficient Learning of Domain-invariant Image Representations

    Judy Hoffman;Erik Rodner;Jeff Donahue;Trevor Darrell

  • Learning with Side Information through Modality Hallucination

    Judy Hoffman;Saurabh Gupta;Trevor Darrell

  • Discovering Latent Domains for Multisource Domain Adaptation

    Judy Hoffman;Brian Kulis;Trevor Darrell;Kate Saenko

  • Clockwork Convnets for Video Semantic Segmentation

    Evan Shelhamer;Kate Rakelly;Judy Hoffman;Trevor Darrell

  • Label efficient learning of transferable representations across domains and tasks

    Zelun Luo;Yuliang Zou;Judy Hoffman;Li Fei-Fei

  • Semi-supervised Domain Adaptation with Instance Constraints

    Jeff Donahue;Judy Hoffman;Erik Rodner;Kate Saenko

  • Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach

    Timnit Gebru;Judy Hoffman;Li Fei-Fei

  • VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation

    Xingchao Peng;Ben Usman;Neela Kaushik;Dequan Wang

  • TIDE: A General Toolbox for Identifying Object Detection Errors

    Daniel Bolya;Sean Foley;James Hays;Judy Hoffman

  • Continuous Manifold Based Adaptation for Evolving Visual Domains

    Judy Hoffman;Trevor Darrell;Kate Saenko

  • Predictive Inequity in Object Detection.

    Benjamin Wilson;Judy Hoffman;Jamie Morgenstern

Frequent Co-Authors

Kate Saenko
Kate Saenko Boston University
Trevor Darrell
Trevor Darrell University of California, Berkeley
Jeff Donahue
Jeff Donahue DeepMind (United Kingdom)
Li Fei-Fei
Li Fei-Fei Stanford University
Erik Rodner
Erik Rodner HTW Berlin - University of Applied Sciences
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Saurabh Gupta
Saurabh Gupta University of Illinois at Urbana-Champaign
Ross Girshick
Ross Girshick Facebook (United States)
Irfan Essa
Irfan Essa Georgia Institute of Technology
Mehryar Mohri
Mehryar Mohri Google (United States)

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