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Computer Science
UK
2026

D-Index & Metrics

Computer Science

D-Index
119
Citations
132469
World Ranking
148
National Ranking
6

Pushmeet Kohli 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 Pushmeet Kohli 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: 395 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Pushmeet Kohli 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 Pushmeet Kohli 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: 119 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

  • 2026 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Pushmeet Kohli is affiliated with DeepMind in the United Kingdom. Their research spans the fields of Computer Science and Biochemistry, Genetics and Molecular Biology, with significant contributions in both areas.

Their subfields of study include Artificial Intelligence, Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, and Computer Vision and Pattern Recognition. These domains reflect a broad interdisciplinary approach linking computational methods to biological and chemical sciences.

Kohli's main research topics focus on Protein Structure and Dynamics, Adversarial Robustness in Machine Learning, Machine Learning in Bioinformatics, Enzyme Structure and Function, Machine Learning in Materials Science, RNA and protein synthesis mechanisms, and Machine Learning and Data Classification. These topics indicate a consistent interest in applying machine learning techniques to complex biological problems.

Significant recent papers authored or co-authored by Kohli include:

  • Highly accurate protein structure prediction with AlphaFold (2021, Nature)
  • Accurate structure prediction of biomolecular interactions with AlphaFold 3 (2024, Nature)
  • AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models (2021, Nucleic Acids Research)
  • Protein complex prediction with AlphaFold-Multimer (2021, bioRxiv - Cold Spring Harbor Laboratory)
  • Improved protein structure prediction using potentials from deep learning (2020, Nature)

Their work has been published in various venues, most frequently in arXiv (Cornell University) with 32 publications, followed by Nature with 16, Science with 5, bioRxiv (Cold Spring Harbor Laboratory) with 3, and Nature Medicine with 3 papers. This indicates an active engagement with both preprint and peer-reviewed scientific communication channels.

Kohli has collaborated extensively with a number of researchers. Frequent co-authors include Demis Hassabis, John Jumper, Andrew Senior, K Taki, and Alexander Pritzel. These partnerships highlight a network of collaboration in advancing artificial intelligence and biological structure prediction.

Best Publications

  • Highly accurate protein structure prediction with AlphaFold

    John M. Jumper;Richard O. Evans;Alexander Pritzel;Tim Green

  • AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.

    Mihaly Varadi;Stephen Anyango;Mandar Deshpande;Sreenath Nair

  • Indoor segmentation and support inference from RGBD images

    Nathan Silberman;Derek Hoiem;Pushmeet Kohli;Rob Fergus

  • KinectFusion: Real-time dense surface mapping and tracking

    Richard A. Newcombe;Shahram Izadi;Otmar Hilliges;David Molyneaux

  • Protein complex prediction with AlphaFold-Multimer

    Richard Evans;Michael O'Neill;Alexander Pritzel;Natasha Antropova

  • Improved protein structure prediction using potentials from deep learning

    Andrew W. Senior;Richard Evans;John Jumper;James Kirkpatrick

  • Relational inductive biases, deep learning, and graph networks

    Peter W. Battaglia;Jessica B. Hamrick;Victor Bapst;Alvaro Sanchez-Gonzalez

  • Highly accurate protein structure prediction for the human proteome

    Kathryn Tunyasuvunakool;Jonas Adler;Zachary Wu;Tim Green

  • KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera

    Shahram Izadi;David Kim;Otmar Hilliges;David Molyneaux

  • Effective gene expression prediction from sequence by integrating long-range interactions.

    Žiga Avsec;Vikram Agarwal;Daniel Visentin;Joseph R. Ledsam

  • Robust higher order potentials for enforcing label consistency

    P. Kohli;L. Ladicky;P. Torr

  • Associative hierarchical CRFs for object class image segmentation

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

  • Deep convolutional inverse graphics network

    Tejas D. Kulkarni;William F. Whitney;Pushmeet Kohli;Joshua B. Tenenbaum

  • Efficient Human Pose Estimation from Single Depth Images

    Jamie Shotton;Ross Girshick;Andrew Fitzgibbon;Toby Sharp

  • Holoportation: Virtual 3D Teleportation in Real-time

    Sergio Orts-Escolano;Christoph Rhemann;Sean Fanello;Wayne Chang

  • Discovering faster matrix multiplication algorithms with reinforcement learning

    Unknown

  • A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

    Nasrin Mostafazadeh;Nathanael Chambers;Xiaodong He;Devi Parikh

  • Personality and patterns of Facebook usage

    Yoram Bachrach;Michal Kosinski;Thore Graepel;Pushmeet Kohli

  • Accurate, Robust, and Flexible Real-time Hand Tracking

    Toby Sharp;Cem Keskin;Duncan Robertson;Jonathan Taylor

  • Fusion4D: real-time performance capture of challenging scenes

    Mingsong Dou;Sameh Khamis;Yury Degtyarev;Philip Davidson

  • The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

    Jiayuan Mao;Chuang Gan;Pushmeet Kohli;Joshua B. Tenenbaum

  • On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

    Sven Gowal;Krishnamurthy Dvijotham;Robert Stanforth;Rudy Bunel

Frequent Co-Authors

Philip H. S. Torr
Philip H. S. Torr University of Oxford
Jamie Shotton
Jamie Shotton Microsoft (United States)
Shahram Izadi
Shahram Izadi Google (United States)
Carsten Rother
Carsten Rother Heidelberg University
Rishabh Singh
Rishabh Singh Google (United States)
David Kim
David Kim Microsoft (United States)
Yoram Bachrach
Yoram Bachrach DeepMind (United Kingdom)
Sebastian Nowozin
Sebastian Nowozin Microsoft (United States)
Antonio Criminisi
Antonio Criminisi Microsoft (United States)

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