World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
20196
World Ranking
8566
National Ranking
3663

Ishan Misra 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 Ishan Misra 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Ishan Misra 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 Ishan Misra 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Ishan Misra is a researcher affiliated with Facebook in the United States, with a primary focus in the field of Computer Science. Their research contributions span several subfields, particularly in Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Geology, and Computational Mechanics.

Their work largely addresses topics within Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, and Advanced Neural Network Applications. Other prominent research topics include Advanced Image and Video Retrieval Techniques, Video Analysis and Summarization, Generative Adversarial Networks and Image Synthesis, and Human Pose and Action Recognition.

Misra's publication record includes numerous contributions to well-known venues. Their frequent publication outlets include:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Biomicrofluidics

Several notable papers from their recent publications encompass:

  • Emerging Properties in Self-Supervised Vision Transformers, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Unsupervised Learning of Visual Features by Contrasting Cluster Assignments, 2020, arXiv (Cornell University)
  • DINOv2: Learning Robust Visual Features without Supervision, 2023, arXiv (Cornell University)
  • Barlow Twins: Self-Supervised Learning via Redundancy Reduction, 2021, arXiv (Cornell University)
  • MDETR - Modulated Detection for End-to-End Multi-Modal Understanding, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Ishan Misra frequently collaborates with other researchers in their field. Their main coauthors include:

  • Rohit Girdhar
  • Armand Joulin
  • Mannat Singh
  • Piotr Bojanowski
  • Mathilde Caron

Best Publications

  • Emerging Properties in Self-Supervised Vision Transformers

    Mathilde Caron;Hugo Touvron;Hugo Touvron;Ishan Misra;Hervé Jégou

  • Emerging Properties in Self-Supervised Vision Transformers

    Mathilde Caron;Hugo Touvron;Hugo Touvron;Ishan Misra;Hervé Jégou

  • Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

    Mathilde Caron;Ishan Misra;Julien Mairal;Priya Goyal

  • Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

    Mathilde Caron;Ishan Misra;Julien Mairal;Priya Goyal

  • DINOv2: Learning Robust Visual Features without Supervision

    Unknown

  • Cross-Stitch Networks for Multi-task Learning

    Ishan Misra;Abhinav Shrivastava;Abhinav Gupta;Martial Hebert

  • Self-Supervised Learning of Pretext-Invariant Representations

    Ishan Misra;Laurens van der Maaten

  • Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification

    Ishan Misra;C. Lawrence Zitnick;Martial Hebert

  • Barlow Twins: Self-Supervised Learning via Redundancy Reduction

    Jure Zbontar;Li Jing;Ishan Misra;yann lecun

  • ImageBind One Embedding Space to Bind Them All

    Unknown

  • Barlow Twins: Self-Supervised Learning via Redundancy Reduction

    Jure Zbontar;Li Jing;Ishan Misra;Yann LeCun

  • Detecting Twenty-thousand Classes using Image-level Supervision

    Unknown

  • MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding

    Aishwarya Kamath;Mannat Singh;Yann LeCun;Ishan Misra

  • MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding.

    Aishwarya Kamath;Mannat Singh;Yann LeCun;Ishan Misra

  • Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection

    Debidatta Dwibedi;Ishan Misra;Martial Hebert

  • Visual Storytelling

    Ting-Hao Kenneth Huang;Francis Ferraro;Nasrin Mostafazadeh;Ishan Misra

  • In Defense of Grid Features for Visual Question Answering

    Huaizu Jiang;Ishan Misra;Marcus Rohrbach;Erik Learned-Miller

  • Scaling and Benchmarking Self-Supervised Visual Representation Learning

    Priya Goyal;Dhruv Mahajan;Abhinav Gupta;Ishan Misra

  • Generating Natural Questions About an Image

    Nasrin Mostafazadeh;Ishan Misra;Jacob Devlin;Margaret Mitchell

  • Omnivore: A Single Model for Many Visual Modalities

    Unknown

  • Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

    Unknown

  • Self-Supervised Pretraining of 3D Features on any Point-Cloud

    Zaiwei Zhang;Rohit Girdhar;Armand Joulin;Ishan Misra

  • Self-Supervised Pretraining of 3D Features on any Point-Cloud

    Zaiwei Zhang;Rohit Girdhar;Armand Joulin;Ishan Misra

  • From Red Wine to Red Tomato: Composition with Context

    Ishan Misra;Abhinav Gupta;Martial Hebert

  • Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels

    Ishan Misra;C. Lawrence Zitnick;Margaret Mitchell;Ross Girshick

  • Cut and Learn for Unsupervised Object Detection and Instance Segmentation

    Unknown

  • Audio-Visual Instance Discrimination with Cross-Modal Agreement

    Pedro Morgado;Nuno Vasconcelos;Ishan Misra

  • Masked Siamese Networks for Label-Efficient Learning

    Unknown

  • Watch and learn: Semi-supervised learning of object detectors from videos

    Ishan Misra;Abhinav Shrivastava;Martial Hebert

  • Self-supervised Pretraining of Visual Features in the Wild

    Priya Goyal;Mathilde Caron;Benjamin Lefaudeux;Min Xu

  • Visual Storytelling

    Ting-Hao;Huang;Francis Ferraro;Nasrin Mostafazadeh

  • Does Object Recognition Work for Everyone

    Terrance DeVries;Ishan Misra;Changhan Wang;Laurens van der Maaten

Frequent Co-Authors

Martial Hebert
Martial Hebert Carnegie Mellon University
Armand Joulin
Armand Joulin Google (United States)
Laurens van der Maaten
Laurens van der Maaten Facebook (United States)
C. Lawrence Zitnick
C. Lawrence Zitnick Facebook (United States)
Ross Girshick
Ross Girshick Facebook (United States)
Margaret Mitchell
Margaret Mitchell Hugging Face
Piotr Bojanowski
Piotr Bojanowski Facebook (United States)
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Abhinav Shrivastava
Abhinav Shrivastava University of Maryland, College Park
Julien Mairal
Julien Mairal French Institute for Research in Computer Science and Automation - INRIA

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