World's Best Scientists 2026 revealed!
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Felix Hill
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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
37
Citations
12957
World Ranking
741
National Ranking
118

Computer Science

D-Index
37
Citations
13536
World Ranking
10452
National Ranking
4369

Felix Hill 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 Felix Hill 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: 75 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Felix Hill 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 Felix Hill 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: 37 D-Index — 27th percentile

27% 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 Rising Stars Award

Overview

Felix Hill is affiliated with Google in the United States and specializes in the field of Computer Science with a focus on Artificial Intelligence. Their research integrates multiple subfields including Computer Vision and Pattern Recognition, Cognitive Neuroscience, Sociology and Political Science, and Developmental and Educational Psychology.

The scientist's recent publications reflect their focus on language models, multimodal learning, and reasoning in AI. Notable papers include:

  • Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models (2020, Proceedings of the National Academy of Sciences)
  • Multimodal Few-Shot Learning with Frozen Language Models (2021, arXiv (Cornell University))
  • Meaning without reference in large language models (2022, arXiv (Cornell University))
  • Data Distributional Properties Drive Emergent In-Context Learning in Transformers (2022, arXiv (Cornell University))
  • Language models show human-like content effects on reasoning tasks (2022, arXiv (Cornell University))

Frequent coauthors who have collaborated extensively with Felix Hill include:

  • Andrew K. Lampinen
  • Stephanie C. Y. Chan
  • Adam Santoro
  • Ishita Dasgupta
  • James L. McClelland

Felix Hill's work is also characterized by consistent publication in specific venues, primarily:

  • arXiv (Cornell University)
  • Proceedings of the National Academy of Sciences
  • PNAS Nexus
  • Machine Learning Science and Technology
  • Behavioral and Brain Sciences

The research topics covered in their work encompass various aspects of artificial intelligence and machine learning, including:

  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Reinforcement Learning in Robotics
  • Explainable Artificial Intelligence (XAI)
  • Neural Networks and Applications

Felix Hill's academic output demonstrates a comprehensive engagement with advancing AI technologies through diverse methodological approaches and interdisciplinary perspectives within computational sciences.

Best Publications

  • GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

    Alex Wang;Amanpreet Singh;Julian Michael;Felix Hill

  • SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

    Alex Wang;Yada Pruksachatkun;Nikita Nangia;Amanpreet Singh

  • Simlex-999: Evaluating semantic models with genuine similarity estimation

    Felix Hill;Roi Reichart;Anna Korhonen

  • The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations

    Felix Hill;Antoine Bordes;Sumit Chopra;Jason Weston

  • Learning distributed representations of sentences from unlabelled data

    Felix Hill;Kyunghyun Cho;Anna Korhonen

  • SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

    Daniela Gerz;Ivan Vulic;Felix Hill;Roi Reichart

  • Grounded Language Learning in a Simulated 3D World

    Karl Moritz Hermann;Felix Hill;Simon Green;Fumin Wang

  • Measuring abstract reasoning in neural networks

    David G. T. Barrett;Felix Hill;Adam Santoro;Ari S. Morcos

  • Learning to Understand Phrases by Embedding the Dictionary

    Felix Hill;KyungHyun Cho;Anna Korhonen;Yoshua Bengio

  • Can language models learn from explanations in context?

    Unknown

  • Analysing Mathematical Reasoning Abilities of Neural Models

    David Saxton;Edward Grefenstette;Felix Hill;Pushmeet Kohli

  • Specializing Word Embeddings for Similarity or Relatedness

    Douwe Kiela;Felix Hill;Stephen Clark

  • Data Distributional Properties Drive Emergent In-Context Learning in Transformers

    Unknown

  • Neural arithmetic logic units

    Andrew Trask;Felix Hill;Scott E. Reed;Jack W. Rae

  • Language models show human-like content effects on reasoning

    Unknown

  • Adaptive Communication: Languages with More Non-Native Speakers Tend to Have Fewer Word Forms

    Christian Bentz;Annemarie Verkerk;Douwe Kiela;Felix Hill

  • Learning to Understand Goal Specifications by Modelling Reward

    Dzmitry Bahdanau;Felix Hill;Jan Leike;Edward Hughes

  • Meaning without reference in large language models

    Unknown

  • Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can't See What I Mean

    Felix Hill;Anna Korhonen

  • Hyperlex: A large-scale evaluation of graded lexical entailment

    Ivan Vulić;Daniela Gerz;Douwe Kiela;Felix Hill

  • Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More

    Douwe Kiela;Felix Hill;Anna Korhonen;Stephen Clark

  • Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models.

    James L McClelland;Felix Hill;Maja Rudolph;Jason Baldridge

  • Learning to Make Analogies by Contrasting Abstract Relational Structure

    Felix Hill;Adam Santoro;David G. T. Barrett;Ari S. Morcos

  • Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text

    Felix Hill;Sona Mokra;Nathaniel Wong;Tim Harley

Frequent Co-Authors

Anna Korhonen
Anna Korhonen University of Cambridge
Stephen Clark
Stephen Clark Cambridge Quantum Computing
Matthew Botvinick
Matthew Botvinick Yale University
Timothy P. Lillicrap
Timothy P. Lillicrap University College London
Yoshua Bengio
Yoshua Bengio University of Montreal
Roi Reichart
Roi Reichart Technion – Israel Institute of Technology
Douwe Kiela
Douwe Kiela Stanford University
Phil Blunsom
Phil Blunsom University of Oxford
James L. McClelland
James L. McClelland Stanford University
Omer Levy
Omer Levy Deep Mind

External Links

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Best Scientists Citing Felix Hill

Samuel R. Bowman

Samuel R. Bowman

New York University

Publications: 55

Mohit Bansal

Mohit Bansal

University of North Carolina at Chapel Hill

Publications: 45

Ivan Vulić

Ivan Vulić

University of Cambridge

Publications: 45

Douwe Kiela

Douwe Kiela

Stanford University

Publications: 44

Jianfeng Gao

Jianfeng Gao

Microsoft (United States)

Publications: 42

Kevin Gimpel

Kevin Gimpel

Toyota Technological Institute at Chicago

Publications: 39

Iryna Gurevych

Iryna Gurevych

Technical University of Darmstadt

Publications: 37

Yejin Choi

Yejin Choi

Stanford University

Publications: 33

Qun Liu

Qun Liu

Huawei Technologies (China)

Publications: 32

Noah A. Smith

Noah A. Smith

University of Washington

Publications: 29

Maosong Sun

Maosong Sun

Tsinghua University

Publications: 28

Jose Camacho-Collados

Jose Camacho-Collados

Cardiff University

Publications: 28

Anna Korhonen

Anna Korhonen

University of Cambridge

Publications: 27

Benjamin Van Durme

Benjamin Van Durme

Johns Hopkins University

Publications: 27

Yonatan Belinkov

Yonatan Belinkov

Technion – Israel Institute of Technology

Publications: 27

Hinrich Schütze

Hinrich Schütze

Ludwig-Maximilians-Universität München

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