World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
203589
World Ranking
4167
National Ranking
252

Karen Simonyan 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 Karen Simonyan 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: 87 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.

Karen Simonyan 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 Karen Simonyan 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Karen Simonyan is affiliated with DeepMind in the United Kingdom. Their research primarily lies in the domain of Computer Science, with a strong focus on Artificial Intelligence and related subfields.

The scientist has contributed to a significant number of publications, totaling 38 in Computer Science. Within this broad field, notable subfields include Artificial Intelligence with 22 publications, Computer Vision and Pattern Recognition with 11, Accounting with 10, Signal Processing with 5, and Atmospheric Science with 4 publications.

Simonyan's research covers several main topics. These include Corporate Finance and Governance, Natural Language Processing Techniques, Topic Modeling, Domain Adaptation and Few-Shot Learning, Private Equity and Venture Capital, Speech Recognition and Synthesis, and Advanced Neural Network Applications. Each of these topics is addressed in around six to ten publications, indicating a diverse and interdisciplinary research portfolio.

The scientist's frequent publication venues reflect their involvement in both journal and preprint platforms. The most common venue is arXiv (Cornell University), with 14 papers published. Other venues include Nature, with 2 publications, SSRN Electronic Journal with 2, as well as Entrepreneurship Theory and Practice and Journal of Business Venturing, each with one publication.

Among recent papers associated with their work are:

  • Improved protein structure prediction using potentials from deep learning, 2020, Nature
  • Flamingo: a Visual Language Model for Few-Shot Learning, 2022, arXiv (Cornell University)
  • Skilful precipitation nowcasting using deep generative models of radar, 2021, Nature
  • Training Compute-Optimal Large Language Models, 2022, arXiv (Cornell University)
  • Improving language models by retrieving from trillions of tokens, 2021, arXiv (Cornell University)

Collaboration is evident in Simonyan's work, with frequent coauthors including Aidan Clark, Oriol Vinyals, Erich Elsen, Laurent Sifre, and Simon Osindero. Each coauthor has collaborated on multiple occasions, with counts ranging from six to seven joint publications.

Best Publications

  • Very Deep Convolutional Networks for Large-Scale Image Recognition

    Karen Simonyan;Andrew Zisserman

  • Mastering the game of Go without human knowledge

    David Silver;Julian Schrittwieser;Karen Simonyan;Ioannis Antonoglou

  • 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

  • Large Scale GAN Training for High Fidelity Natural Image Synthesis

    Andrew Brock;Jeff Donahue;Karen Simonyan

  • WaveNet: A Generative Model for Raw Audio

    Aäron van den Oord;Sander Dieleman;Heiga Zen;Karen Simonyan

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

    Ken Chatfield;Karen Simonyan;Andrea Vedaldi;Andrew Zisserman

  • A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play.

    David Silver;Thomas Hubert;Julian Schrittwieser;Ioannis Antonoglou

  • Improved protein structure prediction using potentials from deep learning

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

  • DARTS: Differentiable Architecture Search

    Hanxiao Liu;Karen Simonyan;Yiming Yang

  • The Kinetics Human Action Video Dataset

    Andrew Zisserman;Joao Carreira;Karen Simonyan;Will Kay

  • Mastering Atari, Go, chess and shogi by planning with a learned model

    Julian Schrittwieser;Ioannis Antonoglou;Thomas Hubert;Karen Simonyan

  • Training Compute-Optimal Large Language Models

    Unknown

  • Reading Text in the Wild with Convolutional Neural Networks

    Max Jaderberg;Karen Simonyan;Andrea Vedaldi;Andrew Zisserman

  • Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

    David Silver;Thomas Hubert;Julian Schrittwieser;Ioannis Antonoglou

  • Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition

    Max Jaderberg;Karen Simonyan;Andrea Vedaldi;Andrew Zisserman

  • StarCraft II: A New Challenge for Reinforcement Learning

    Oriol Vinyals;Timo Ewalds;Sergey Bartunov;Petko Georgiev

  • IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

    Lasse Espeholt;Hubert Soyer;Remi Munos;Karen Simonyan

  • Skilful precipitation nowcasting using deep generative models of radar.

    Suman V. Ravuri;Karel Lenc;Matthew Willson;Dmitry Kangin;Dmitry Kangin

  • Hierarchical Representations for Efficient Architecture Search

    Hanxiao Liu;Karen Simonyan;Oriol Vinyals;Chrisantha Fernando

Frequent Co-Authors

Andrew Zisserman
Andrew Zisserman University of Oxford
Koray Kavukcuoglu
Koray Kavukcuoglu DeepMind (United Kingdom)
Oriol Vinyals
Oriol Vinyals DeepMind (United Kingdom)
Nal Kalchbrenner
Nal Kalchbrenner Google (United States)
Aaron van den Oord
Aaron van den Oord Google (United States)
Andrea Vedaldi
Andrea Vedaldi University of Oxford
Jeff Donahue
Jeff Donahue DeepMind (United Kingdom)
Alex Graves
Alex Graves Google (United States)
Demis Hassabis
Demis Hassabis Google (United States)
David Silver
David Silver DeepMind (United Kingdom)

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