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2026

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Best Scientists

D-Index
197
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34

Computer Science

D-Index
199
Citations
403845
World Ranking
4
National Ranking
1

Andrew Zisserman 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 Andrew Zisserman 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 783 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Andrew Zisserman 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 Andrew Zisserman sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 199 D-Index — 100th percentile

100% 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

  • 2026 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2008 - Distinguished Fellow of the British Machine Vision Association (BMVA)
  • 2007 - Fellow of the Royal Society, United Kingdom

Overview

Andrew Zisserman is affiliated with the University of Oxford in the United Kingdom. Their primary field of research is Computer Science, with a strong focus on related subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biomedical Engineering, and Human-Computer Interaction.

The scientist's research topics cover a range of areas including:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Video Analysis and Summarization
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging

Andrew Zisserman has contributed significant publications, with many releases in notable venues. Frequent publication sites include:

  • arXiv (Cornell University) with 128 publications
  • Zenodo (CERN European Organization for Nuclear Research) with 8 publications
  • Lecture notes in computer science with 7 publications
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) with 6 publications
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV) with 5 publications

Recent papers authored or co-authored by Andrew Zisserman include:

  • "Flamingo: a Visual Language Model for Few-Shot Learning," 2022, arXiv (Cornell University)
  • "With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "A Short Note on the Kinetics-700-2020 Human Action Dataset," 2020, arXiv (Cornell University)
  • "Self-supervised Co-training for Video Representation Learning," 2020, arXiv (Cornell University)
  • "Self-Supervised MultiModal Versatile Networks," 2020, arXiv (Cornell University)

Collaboration forms a significant aspect of their work, with frequent co-authors including:

  • Weidi Xie (39 joint publications)
  • Andrea Vedaldi (24 joint publications)
  • Gül Varol (24 joint publications)
  • Samuel Albanie (21 joint publications)
  • Timor Kadir (20 joint publications)

Recognitions awarded to Andrew Zisserman consist of:

  • Distinguished Fellow of the British Machine Vision Association (BMVA), 2008
  • Fellow of the Royal Society, United Kingdom, 2007

Best Publications

  • Very Deep Convolutional Networks for Large-Scale Image Recognition

    Karen Simonyan;Andrew Zisserman

  • Multiple view geometry in computer vision

    Richard Hartley;Andrew Zisserman

  • The Pascal Visual Object Classes (VOC) Challenge

    Mark Everingham;Luc Gool;Christopher K. Williams;John Winn

  • Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

    Joao Carreira;Andrew Zisserman

  • The Pascal Visual Object Classes Challenge: A Retrospective

    Mark Everingham;S. M. Eslami;Luc Gool;Christopher K. Williams

  • Two-Stream Convolutional Networks for Action Recognition in Videos

    Karen Simonyan;Andrew Zisserman

  • Spatial transformer networks

    Max Jaderberg;Karen Simonyan;Andrew Zisserman;Koray Kavukcuoglu

  • Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

    Karen Simonyan;Andrea Vedaldi;Andrew Zisserman

  • Deep face recognition

    Omkar M. Parkhi;Andrea Vedaldi;Andrew Zisserman

  • Multiple View Geometry in Computer Vision (2nd ed)

    Richard Hartley;Andrew Zisserman

  • A Comparison of Affine Region Detectors

    K. Mikolajczyk;T. Tuytelaars;C. Schmid;A. Zisserman

  • Return of the Devil in the Details: Delving Deep into Convolutional Nets

    Ken Chatfield;Karen Simonyan;Andrea Vedaldi;Andrew Zisserman

  • Automated Flower Classification over a Large Number of Classes

    M.-E. Nilsback;A. Zisserman

  • Object retrieval with large vocabularies and fast spatial matching

    J. Philbin;O. Chum;M. Isard;J. Sivic

  • Object class recognition by unsupervised scale-invariant learning

    R. Fergus;P. Perona;A. Zisserman

  • Visual Reconstruction

    Andrew Blake;Andrew Zisserman

  • Convolutional Two-Stream Network Fusion for Video Action Recognition

    Christoph Feichtenhofer;Axel Pinz;Andrew Zisserman

  • MLESAC: A New Robust Estimator with Application to Estimating Image Geometry

    Philip H. S. Torr;Andrew Zisserman

  • VGGFace2: A Dataset for Recognising Faces across Pose and Age

    Qiong Cao;Li Shen;Weidi Xie;Omkar M. Parkhi

  • The Kinetics Human Action Video Dataset

    Andrew Zisserman;Joao Carreira;Karen Simonyan;Will Kay

Frequent Co-Authors

Andrea Vedaldi
Andrea Vedaldi University of Oxford
Josef Sivic
Josef Sivic Czech Technical University in Prague
David Forsyth
David Forsyth University of Illinois at Urbana-Champaign
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Karen Simonyan
Karen Simonyan DeepMind (United Kingdom)
Joseph L. Mundy
Joseph L. Mundy Brown University
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Richard Hartley
Richard Hartley Australian National University
Jean Ponce
Jean Ponce École Normale Supérieure

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