World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5416
World Ranking
10815
National Ranking
678

Adrian Weller 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 Adrian Weller 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: 216 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Adrian Weller 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 Adrian Weller 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.

Overview

Adrian Weller is affiliated with the University of Cambridge in the United Kingdom and primarily focuses on research within the field of Computer Science. Their work encompasses a broad range of topics within artificial intelligence and its applications.

The main areas of study in their research include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Safety Research
  • Signal Processing
  • Radiology, Nuclear Medicine and Imaging

Adrian Weller has contributed extensively to several prominent topics, with particular attention to:

  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Machine Learning and Data Classification
  • Domain Adaptation and Few-Shot Learning
  • Ethics and Social Impacts of AI
  • Topic Modeling
  • Artificial Intelligence in Healthcare and Education

The scientist has published extensively, with notable papers including:

  • "Leveraging Data Science to Combat COVID-19: A Comprehensive Review," 2020, IEEE Transactions on Artificial Intelligence
  • "Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims," 2020, Data Archiving and Networked Services (DANS)
  • "How transparency modulates trust in artificial intelligence," 2022, Patterns
  • "Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims," 2020, arXiv (Cornell University)
  • "Rethinking Attention with Performers," 2020, arXiv (Cornell University)

Frequent co-authors include:

  • Umang Bhatt
  • Katherine M. Collins
  • Krzysztof Choromański
  • Valerii Likhosherstov
  • Mateja Jamnik

Their works appear regularly in several well-known publication venues, such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Apollo (University of Cambridge)
  • Patterns
  • Nature Machine Intelligence

Adrian Weller's research output reflects a sustained focus on advancing understanding across computer science, particularly artificial intelligence, with emphasis on trustworthy AI, machine learning techniques, and the social and ethical implications of technology.

Best Publications

  • Explainable machine learning in deployment

    Umang Bhatt;Alice Xiang;Shubham Sharma;Adrian Weller

  • A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices

    Till Speicher;Hoda Heidari;Nina Grgic-Hlaca;Krishna P. Gummadi

  • Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction

    Nina Grgic-Hlaca;Elissa M. Redmiles;Krishna P. Gummadi;Adrian Weller

  • Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning

    Rowan McAllister;Yarin Gal;Alex Kendall;Mark van der Wilk

  • Rethinking Attention with Performers

    Krzysztof Marcin Choromanski;Valerii Likhosherstov;David Dohan;Xingyou Song

  • Leveraging Data Science to Combat COVID-19: A Comprehensive Review

    Siddique Latif;Muhammad Usman;Sanaullah Manzoor;Waleed Iqbal

  • Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning

    Nina Grgic-Hlaca;Muhammad Bilal Zafar;Krishna P. Gummadi;Adrian Weller

  • Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty

    Umang Bhatt;Javier Antorán;Yunfeng Zhang;Q. Vera Liao

  • Transparency: Motivations and Challenges.

    Adrian Weller;Adrian Weller

  • From Parity to Preference-based Notions of Fairness in Classification

    Muhammad Bilal Zafar;Isabel Valera;Manuel Gomez Rodriguez;Krishna P. Gummadi

  • Towards Principled Disentanglement for Domain Generalization

    Unknown

  • The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making

    Nina Grgić-Hlača;Muhammad Bilal Zafar;Krishna P. Gummadi;Adrian Weller

  • Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

    Miles Brundage;Shahar Avin;Jasmine Wang;Haydn Belfield

  • Rethinking Attention with Performers

    Krzysztof Choromanski;Valerii Likhosherstov;David Dohan;Xingyou Song

  • Challenges for Transparency

    Adrian Weller

  • Evaluating and Aggregating Feature-based Model Explanations

    Umang Bhatt;Umang Bhatt;Adrian Weller;Adrian Weller;José M. F. Moura

  • Synthetic Data -- what, why and how?

    Unknown

  • Structured Evolution with Compact Architectures for Scalable Policy Optimization

    Krzysztof Choromanski;Mark Rowland;Vikas Sindhwani;Richard E. Turner

  • One-Network Adversarial Fairness

    Tameem Adel;Isabel Valera;Zoubin Ghahramani;Adrian Weller

  • Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence

    Xiang Bai;Hanchen Wang;Liya Ma;Yongchao Xu

  • “Explaining” machine learning reveals policy challenges

    Diane Coyle;Adrian Weller;Adrian Weller

  • You Shouldn't Trust Me: Learning Models Which Conceal Unfairness from Multiple Explanation Methods.

    Botty Dimanov;Umang Bhatt;Mateja Jamnik;Adrian Weller

  • Discovering Interpretable Representations for Both Deep Generative and Discriminative Models

    Tameem Adel;Zoubin Ghahramani;Adrian Weller

  • Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction

    Nina Grgić-Hlača;Elissa M. Redmiles;Krishna P. Gummadi;Adrian Weller

  • Getting a CLUE: A Method for Explaining Uncertainty Estimates

    Javier Antoran;Umang Bhatt;Tameem Adel;Adrian Weller

  • Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers

    Krzysztof Choromanski;Valerii Likhosherstov;David Dohan;Xingyou Song

  • Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty

    Umang Bhatt;Yunfeng Zhang;Javier Antorán;Q. Vera Liao

Frequent Co-Authors

Krishna P. Gummadi
Krishna P. Gummadi Max Planck Institute for Software Systems
Vikas Sindhwani
Vikas Sindhwani Google (United States)
Tony Jebara
Tony Jebara Columbia University
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Jinwoo Shin
Jinwoo Shin Korea Advanced Institute of Science and Technology
Richard E. Turner
Richard E. Turner University of Cambridge
Michael Chertkov
Michael Chertkov University of Arizona
Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Kush R. Varshney
Kush R. Varshney IBM (United States)

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