World's Best Scientists 2026 revealed!
Andrew Gordon Wilson

Andrew Gordon Wilson

D-Index & Metrics

Computer Science

D-Index
46
Citations
9522
World Ranking
6798
National Ranking
2991

Andrew Gordon Wilson 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 Andrew Gordon Wilson 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: 92 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Andrew Gordon Wilson 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 Andrew Gordon Wilson 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Andrew Gordon Wilson is affiliated with New York University in the United States. Their research primarily falls within the field of Computer Science, with a focus on several subfields and topics related to machine learning and data analysis.

The scientist's extensive work in Artificial Intelligence encompasses 110 publications. They have also contributed to fields such as Computer Vision and Pattern Recognition, Materials Chemistry, Molecular Biology, and Computational Theory and Mathematics.

The main topics covered in their research include:

  • Gaussian Processes and Bayesian Inference
  • Machine Learning and Data Classification
  • Domain Adaptation and Few-Shot Learning
  • Model Reduction and Neural Networks
  • Machine Learning in Materials Science
  • Neural Networks and Applications
  • Generative Adversarial Networks and Image Synthesis

Their recent papers demonstrate involvement in several key areas. Notable publications include:

  • "Bayesian Deep Learning and a Probabilistic Perspective of Generalization" (2020), published in arXiv (Cornell University)
  • "A Cookbook of Self-Supervised Learning" (2023), published in arXiv (Cornell University)
  • "Large Language Models Are Zero-Shot Time Series Forecasters" (2023), published in arXiv (Cornell University)
  • "Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data" (2020), published in arXiv (Cornell University)
  • "What Are Bayesian Neural Network Posteriors Really Like?" (2021), published in arXiv (Cornell University)

Andrew Gordon Wilson has frequently published in arXiv (Cornell University), with a total of 83 publications there. Other venues where the scientist has contributed include Field Robotics, Proceedings of the National Academy of Sciences, Monthly Notices of the Royal Astronomical Society, and American Journal of Critical Care.

The scientist has collaborated extensively with several coauthors, including:

  • Micah Goldblum (21 collaborations)
  • Marc Finzi (20 collaborations)
  • Wesley J. Maddox (15 collaborations)
  • Pavel Izmailov (14 collaborations)
  • Nate Gruver (9 collaborations)

Best Publications

  • Averaging Weights Leads to Wider Optima and Better Generalization

    Pavel Izmailov;Dmitrii Podoprikhin;Dmitrii Podoprikhin;Timur Garipov;Timur Garipov;Dmitry P. Vetrov;Dmitry P. Vetrov

  • GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration.

    Jacob R. Gardner;Geoff Pleiss;David Bindel;Kilian Q. Weinberger

  • Gaussian Process Kernels for Pattern Discovery and Extrapolation

    Andrew Wilson;Ryan Adams

  • Deep Kernel Learning

    Andrew Gordon Wilson;Zhiting Hu;Ruslan Salakhutdinov;Eric P. Xing

  • BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

    Maximilian Balandat;Brian Karrer;Daniel R. Jiang;Samuel Daulton

  • A Simple Baseline for Bayesian Uncertainty in Deep Learning

    Wesley J. Maddox;Pavel Izmailov;Timur Garipov;Dmitry P. Vetrov;Dmitry P. Vetrov

  • Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)

    Andrew Wilson;Hannes Nickisch

  • Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

    Timur Garipov;Timur Garipov;Pavel Izmailov;Dmitrii Podoprikhin;Dmitry P. Vetrov

  • GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration

    Jacob R. Gardner;Geoff Pleiss;Kilian Q. Weinberger;David Bindel

  • Simple Black-box Adversarial Attacks

    Chuan Guo;Jacob R. Gardner;Yurong You;Andrew Gordon Wilson

  • A Simple Baseline for Bayesian Uncertainty in Deep Learning

    Wesley Maddox;Timur Garipov;Pavel Izmailov;Dmitry Vetrov

  • Bayesian Deep Learning and a Probabilistic Perspective of Generalization

    Andrew Gordon Wilson;Pavel Izmailov

  • There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average.

    Ben Athiwaratkun;Marc Finzi;Pavel Izmailov;Andrew Gordon Wilson

  • {Student-t Processes as Alternatives to Gaussian Processes}

    Amar Shah;Andrew Gordon Wilson;Zoubin Ghahramani

  • Stochastic variational deep kernel learning

    Andrew Gordon Wilson;Zhiting Hu;Ruslan Salakhutdinov;Eric P. Xing

  • Gaussian Process Regression Networks

    Andrew Wilson;Zoubin Ghahramani;David A. Knowles

  • Bayesian Optimization with Gradients

    Jian Wu;Matthias Poloczek;Andrew Gordon Wilson;Peter I. Frazier

  • Fast Kernel Learning for Multidimensional Pattern Extrapolation

    Andrew Wilson;Elad Gilboa;John P Cunningham;Arye Nehorai

  • Probabilistic fasttext for multi-sense word embeddings

    Ben Athiwaratkun;Andrew Gordon Wilson;Anima Anandkumar

  • A la carte | learning fast kernels

    Zichao Yang;Andrew Gordon Wilson;Alexander J. Smola;Le Song

  • Exact Gaussian processes on a million data points

    Ke Alexander Wang;Geoff Pleiss;Jacob R. Gardner;Stephen Tyree

  • Proceedings for 20th Annual Conference on Neural Information Processing Systems (NIPS)

    Andrew Wilson;Christoph Dann;Christopher Lucas;Eric P. Xing

Frequent Co-Authors

Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Kilian Q. Weinberger
Kilian Q. Weinberger Cornell University
Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Zhiting Hu
Zhiting Hu University of California, San Diego
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Peter I. Frazier
Peter I. Frazier Cornell University
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University
Ryan P. Adams
Ryan P. Adams Princeton University
Barnabás Póczos
Barnabás Póczos Carnegie Mellon University
Arye Nehorai
Arye Nehorai Washington University in St. Louis

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