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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
79
Citations
60831
World Ranking
1109
National Ranking
59

Nando de Freitas 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 Nando de Freitas 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: 202 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Nando de Freitas 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 Nando de Freitas 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: 79 D-Index — 92nd percentile

92% 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

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

Overview

Nando de Freitas is affiliated with DeepMind in the United Kingdom. Their research primarily falls within computer science, with a focus on artificial intelligence reflected in a significant proportion of their work. Their subfields of study include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Computational Theory and Mathematics

The scientist's research topics encompass a variety of areas related to machine learning and its applications. These include:

  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Machine Learning and Data Classification
  • Advanced Bandit Algorithms Research
  • Adversarial Robustness in Machine Learning
  • Natural Language Processing Techniques
  • Data Stream Mining Techniques

De Freitas has published multiple papers across several respected venues, with a notable presence on arXiv (Cornell University), where they contributed 23 papers. Other publication venues include the International Journal of Innovative Science and Research Technology (IJISRT), Nature, Computational Linguistics, and Science.

Some recent publications include:

  • Restoring and attributing ancient texts using deep neural networks, 2022, Nature
  • Critic Regularized Regression, 2020, arXiv (Cornell University)
  • Acme: A Research Framework for Distributed Reinforcement Learning, 2020, arXiv (Cornell University)
  • A Generalist Agent, 2022, arXiv (Cornell University)
  • Machine Learning for Ancient Languages: A Survey, 2023, Computational Linguistics

Frequent co-authors with whom de Freitas has collaborated include:

  • Konrad Żołna
  • Çaǧlar Gülçehre
  • Scott Reed
  • Yutian Chen
  • Ksenia Konyushkova

Best Publications

  • Sequential Monte Carlo methods in practice

    Arnaud Doucet;Nando De Freitas;Neil Gordon;Adrian Smith

  • An Introduction to Sequential Monte Carlo Methods

    Arnaud Doucet;Nando de Freitas;Neil J. Gordon

  • Taking the Human Out of the Loop: A Review of Bayesian Optimization

    Bobak Shahriari;Kevin Swersky;Ziyu Wang;Ryan P. Adams

  • An introduction to MCMC for machine learning

    Christophe Andrieu;Nando De Freitas;Arnaud Doucet;Michael I. Jordan

  • Dueling network architectures for deep reinforcement learning

    Ziyu Wang;Tom Schaul;Matteo Hessel;Hado Van Hasselt

  • A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

    Eric Brochu;Vlad M. Cora;Nando de Freitas

  • The Unscented Particle Filter

    Rudolph van der Merwe;Arnaud Doucet;Nando de Freitas;Eric A. Wan

  • Matching words and pictures

    Kobus Barnard;Pinar Duygulu;David Forsyth;Nando de Freitas

  • Learning to learn by gradient descent by gradient descent

    Marcin Andrychowicz;Misha Denil;Sergio Gomez;Matthew W. Hoffman

  • A Boosted Particle Filter: Multitarget Detection and Tracking

    Kenji Okuma;Ali Taleghani;Nando de Freitas;James J. Little

  • Rao-blackwellised particle filtering for dynamic Bayesian networks

    Arnaud Doucet;Nando de Freitas;Kevin P. Murphy;Stuart J. Russell

  • Learning to Communicate with Deep Multi-Agent Reinforcement Learning

    Jakob N. Foerster;Yannis M. Assael;Nando de Freitas;Shimon Whiteson

  • Predicting Parameters in Deep Learning

    Misha Denil;Babak Shakibi;Laurent Dinh;Marc'Aurelio Ranzato

  • Learning to Communicate with Deep Multi−Agent Reinforcement Learning

    Jakob Foerster;Ioannis Alexandros Assael;Nando de Freitas;Shimon Whiteson

  • A Generalist Agent

    Unknown

  • Bayesian optimization in a billion dimensions via random embeddings

    Ziyu Wang;Frank Hutter;Masrour Zoghi;David Matheson

  • Sample Efficient Actor-Critic with Experience Replay.

    Ziyu Wang;Victor Bapst;Nicolas Heess;Volodymyr Mnih

  • A Statistical Model for General Contextual Object Recognition

    Peter Carbonetto;Nando de Freitas;Kobus Barnard

  • Neural Programmer-Interpreters

    Scott Reed;Nando de Freitas

  • Sequential Monte Carlo in Practice

    Arnaud Doucet;Nando de Freitas;Neil J. Gordon

  • LipNet: End-to-End Sentence-level Lipreading

    Yannis M. Assael;Brendan Shillingford;Shimon Whiteson;Nando de Freitas

Frequent Co-Authors

Arnaud Doucet
Arnaud Doucet University of Oxford
Caglar Gulcehre
Caglar Gulcehre DeepMind (United Kingdom)
Nicolas Heess
Nicolas Heess DeepMind (United Kingdom)
Aaron van den Oord
Aaron van den Oord Google (United States)
Peter W. Battaglia
Peter W. Battaglia DeepMind (United Kingdom)
David Poole
David Poole University of British Columbia
Tom Schaul
Tom Schaul DeepMind (United Kingdom)
Matthew Botvinick
Matthew Botvinick Yale University
Kevin Swersky
Kevin Swersky Google (United States)
Razvan Pascanu
Razvan Pascanu DeepMind (United Kingdom)

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