World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
10363
World Ranking
11437
National Ranking
720

Chris Russell 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 Chris Russell 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: 82 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Chris Russell 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 Chris Russell 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Chris Russell is affiliated with the University of Oxford in the United Kingdom. Their research primarily spans the field of Computer Science, with a strong focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Safety Research, Sociology and Political Science, and Media Technology.

Their work covers a range of topics, particularly:

  • Advanced Vision and Imaging
  • Ethics and Social Impacts of AI
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Adversarial Robustness in Machine Learning
  • Explainable Artificial Intelligence (XAI)
  • Generative Adversarial Networks and Image Synthesis

Chris Russell's recent papers include:

  • Seasonal Arctic sea ice forecasting with probabilistic deep learning, 2021, Nature Communications
  • Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI, 2021, Computer Law & Security Review
  • Bias Preservation in Machine Learning: The Legality of Fairness Metrics Under EU Non-Discrimination Law, 2021, SSRN Electronic Journal
  • Translating Images into Maps, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • To protect science, we must use LLMs as zero-shot translators, 2023, Nature Human Behaviour

Their frequent co-authors include Brent Mittelstadt, Richard Bowden, Sandra Wachter, Francesco Locatello, and Bernhard Schölkopf, reflecting a collaborative approach in their research projects.

Chris Russell has published predominantly in venues such as arXiv, SSRN Electronic Journal, Zenodo, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and Nature Communications.

Best Publications

  • Counterfactual Explanations without Opening the Black Box: Automated Decisions and the Gdpr

    Sandra Wachter;Brent Mittelstadt;Christopher Russell

  • Counterfactual fairness

    Matt Kusner;Joshua Loftus;Chris Russell;Ricardo Silva

  • Associative hierarchical CRFs for object class image segmentation

    L'ubor Ladicky;Chris Russell;Pushmeet Kohli;Philip H.S. Torr

  • VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

    Akash Srivastava;Lazar Valkov;Chris Russell;Michael U. Gutmann

  • Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

    Denis Tome;Chris Russell;Lourdes Agapito

  • Graph cut based inference with co-occurrence statistics

    Lubor Ladicky;Chris Russell;Pushmeet Kohli;Philip H. S. Torr

  • What, where and how many? combining object detectors and CRFs

    L'ubor Ladický;Paul Sturgess;Karteek Alahari;Chris Russell

  • Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI

    Sandra Wachter;Sandra Wachter;Sandra Wachter;Brent D. Mittelstadt;Brent D. Mittelstadt;Chris Russell;Chris Russell

  • Seasonal Arctic sea ice forecasting with probabilistic deep learning.

    Tom R. Andersson;J. Scott Hosking;J. Scott Hosking;María Pérez-Ortiz;Brooks Paige;Brooks Paige

  • Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction

    Lubor Ladický;Paul Sturgess;Chris Russell;Sunando Sengupta

  • Take a Look Around: Using Street View and Satellite Images to Estimate House Prices

    Stephen Law;Brooks Paige;Chris Russell

  • Efficient Search for Diverse Coherent Explanations

    Chris Russell

  • Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection

    Parthipan Siva;Chris Russell;Tao Xiang;Lourdes Agapito

  • Bias Preservation in Machine Learning: The Legality of Fairness Metrics Under EU Non-Discrimination Law

    Sandra Wachter;Brent Mittelstadt;Chris Russell

  • When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness

    Chris Russell;Matt J. Kusner;Joshua R. Loftus;Ricardo Silva

  • F-Formation Detection: Individuating Free-Standing Conversational Groups in Images

    Francesco Setti;Chris Russell;Chiara Bassetti;Marco Cristani

  • In defence of negative mining for annotating weakly labelled data

    Parthipan Siva;Chris Russell;Tao Xiang

  • Translating Images into Maps.

    Avishkar Saha;Oscar Mendez Maldonado;Chris Russell;Richard Bowden

  • Associative Hierarchical Random Fields

    L'ubor Ladicky;Chris Russell;Pushmeet Kohli;Philip H. S. Torr

  • Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes

    Chris Russell;Rui Yu;Lourdes Agapito

  • Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video

    Rui Yu;Chris Russell;Neill D. F. Campbell;Lourdes Agapito

  • Energy based multiple model fitting for non-rigid structure from motion

    Chris Russell;Joao Fayad;Lourdes Agapito

Frequent Co-Authors

Lourdes Agapito
Lourdes Agapito University College London
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Tom Treasure
Tom Treasure University College London
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Rui Yu
Rui Yu Eindhoven University of Technology
Richard Bowden
Richard Bowden University of Surrey
Nicholas Asher
Nicholas Asher Toulouse Institute of Computer Science Research
Marco Cristani
Marco Cristani University of Verona
Mark J. Walker
Mark J. Walker University of Queensland
Lesley Fallowfield
Lesley Fallowfield University of Sussex

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