World's Best Scientists 2026 revealed!
Graham W. Taylor

Graham W. Taylor

D-Index & Metrics

Computer Science

D-Index
48
Citations
19225
World Ranking
6012
National Ranking
230

Graham W. Taylor 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 Graham W. Taylor 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Graham W. Taylor 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 Graham W. Taylor 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Graham W. Taylor is affiliated with the University of Guelph in Canada and specializes primarily in computer science. Their research encompasses a significant focus on artificial intelligence, with substantial contributions in related subfields including artificial intelligence, computer vision and pattern recognition, ecological modeling, ecology, and molecular biology.

The scientist's work covers diverse topics such as species distribution and climate change, domain adaptation and few-shot learning, generative adversarial networks and image synthesis, multimodal machine learning applications, AI in cancer detection, advanced image and video retrieval techniques, and adversarial robustness in machine learning.

Key recent publications by Graham W. Taylor include:

  • "Federated learning and differential privacy for medical image analysis," 2022, published in Scientific Reports
  • "Three critical factors affecting automated image species recognition performance for camera traps," 2020, published in Ecology and Evolution
  • "Artificial cognition: How experimental psychology can help generate explainable artificial intelligence," 2020, published in Psychonomic Bulletin & Review
  • "Context-aware Scene Graph Generation with Seq2Seq Transformers," 2021, published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Federated Learning and Differential Privacy for Medical Image Analysis," 2021, published in Research Square (Research Square)

Graham W. Taylor frequently collaborates with several coauthors, including Joakim Bruslund Haurum, Scott Lowe, Iuliia Zarubiieva, Anne Lynn S. Chang, and B. A. Knyazev.

Notable publication venues where this scientist has contributed include arXiv (Cornell University) with 38 publications, Zenodo (CERN European Organization for Nuclear Research) with 6 publications, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV) with 3 publications, Methods in Ecology and Evolution with 2 publications, and PLoS ONE with 2 publications.

Best Publications

  • Improved Regularization of Convolutional Neural Networks with Cutout.

    Terrance Devries;Graham W. Taylor

  • Deconvolutional networks

    Matthew D. Zeiler;Dilip Krishnan;Graham W. Taylor;Rob Fergus

  • Adaptive deconvolutional networks for mid and high level feature learning

    Matthew D. Zeiler;Graham W. Taylor;Rob Fergus

  • Modeling Human Motion Using Binary Latent Variables

    Graham W. Taylor;Geoffrey E. Hinton;Sam T. Roweis

  • Deep Multimodal Learning: A Survey on Recent Advances and Trends

    Dhanesh Ramachandram;Graham W. Taylor

  • Convolutional learning of spatio-temporal features

    Graham W. Taylor;Rob Fergus;Yann LeCun;Christoph Bregler

  • The Recurrent Temporal Restricted Boltzmann Machine

    Ilya Sutskever;Geoffrey E. Hinton;Graham W. Taylor

  • Factored conditional restricted Boltzmann Machines for modeling motion style

    Graham W. Taylor;Geoffrey E. Hinton

  • Learning Confidence for Out-of-Distribution Detection in Neural Networks.

    Terrance DeVries;Graham W. Taylor

  • Federated learning and differential privacy for medical image analysis

    Unknown

  • ModDrop: Adaptive Multi-Modal Gesture Recognition

    Natalia Neverova;Christian Wolf;Graham Taylor;Florian Nebout

  • Automatic moth detection from trap images for pest management

    Weiguang Ding;Graham Taylor

  • Dataset Augmentation in Feature Space

    Terrance DeVries;Graham W. Taylor

  • Forecasting air quality time series using deep learning.

    Brian S Freeman;Graham Taylor;Bahram Gharabaghi

  • Multi-scale Deep Learning for Gesture Detection and Localization

    Natalia Neverova;Natalia Neverova;Christian Wolf;Christian Wolf;Graham W. Taylor;Florian Nebout

  • Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data

    Stefan Schneider;Graham W. Taylor;Stefan S. Linquist;Stefan C. Kremer

  • Learning Human Pose Estimation Features with Convolutional Networks

    Arjun Jain;Jonathan Tompson;Mykhaylo Andriluka;Graham W. Taylor

  • Learning Human Identity From Motion Patterns

    Natalia Neverova;Christian Wolf;Griffin Lacey;Lex Fridman

  • Deep Learning on FPGAs: Past, Present, and Future

    Griffin Lacey;Graham W. Taylor;Shawki Areibi

  • Dynamical binary latent variable models for 3D human pose tracking

    Graham W. Taylor;Leonid Sigal;David J. Fleet;Geoffrey E. Hinton

  • Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points

    Fabien Baradel;Christian Wolf;Julien Mille;Graham W. Taylor

Frequent Co-Authors

Christian Wolf
Christian Wolf Institut National des Sciences Appliquées de Lyon
Vittorio Bellotti
Vittorio Bellotti University College London
Mark B. Pepys
Mark B. Pepys University College London
Julian D. Gillmore
Julian D. Gillmore University College London
Alexander Wong
Alexander Wong University of Waterloo
Geoffrey E. Hinton
Geoffrey E. Hinton University of Toronto
David G. Watson
David G. Watson University of Strathclyde
Rob Fergus
Rob Fergus New York University
Carol V. Robinson
Carol V. Robinson University of Oxford

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