World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5054
World Ranking
11725
National Ranking
736

John Collomosse 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 John Collomosse 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: 189 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

John Collomosse 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 John Collomosse 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

John Collomosse is affiliated with the University of Surrey in the United Kingdom and specializes primarily in Computer Science. Their research focuses extensively on Computer Vision and Pattern Recognition, with additional work in Artificial Intelligence, Computer Graphics and Computer-Aided Design, Cognitive Neuroscience, and Signal Processing.

The scientist's work spans several main topics including:

  • Generative Adversarial Networks and Image Synthesis
  • Image Retrieval and Classification Techniques
  • Digital Media Forensic Detection
  • Multimodal Machine Learning Applications
  • Video Analysis and Summarization
  • Advanced Image and Video Retrieval Techniques
  • Computer Graphics and Visualization Techniques

John Collomosse has published in several venues, with a significant number of their works appearing in arXiv (Cornell University). Other frequent publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), the Journal of Biomedical Informatics, and Computers & Graphics.

Notable recent papers include:

  • Deep learning with wearable based heart rate variability for prediction of mental and general health (2020), Journal of Biomedical Informatics
  • Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction (2020), arXiv (Cornell University)
  • Sketchformer: Transformer-Based Representation for Sketched Structure (2020), Surrey Open Research repository (University of Surrey)
  • ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Neural architecture search for deep image prior (2021), Computers & Graphics

Frequent co-authors in their work include Tu Bui, Dan Ruta, Andrew Gilbert, Zhe Lin, and Hailin Jin. These collaborative relationships have contributed to a diverse and sustained research output in the field.

Best Publications

  • A performance evaluation of gradient field HOG descriptor for sketch based image retrieval

    Rui Hu;John Collomosse

  • State of the "Art”: A Taxonomy of Artistic Stylization Techniques for Images and Video

    Jan Eric Kyprianidis;J. Collomosse;Tinghuai Wang;T. Isenberg

  • Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors

    Matthew Trumble;Andrew Gilbert;Charles Malleson;Adrian Hilton

  • Gradient field descriptor for sketch based retrieval and localization

    Rui Hu;Mark Barnard;John Collomosse

  • Everything You Wanted to Know about Deep Learning for Computer Vision but Were Afraid to Ask

    Moacir Antonelli Ponti;Leonardo Sampaio Ferraz Ribeiro;Tiago Santana Nazare;Tu Bui

  • Stroke surfaces: temporally coherent artistic animations from video

    J.P. Collomosse;D. Rowntree;P.M. Hall

  • BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography

    Michael J. Wilber;Chen Fang;Hailin Jin;Aaron Hertzmann

  • Image and Video-based Artistic Stylisation

    Paul Rosin;John Collomosse

  • Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction

    Tong He;John P. Collomosse;Hailin Jin;Stefano Soatto

  • Sketchformer: Transformer-Based Representation for Sketched Structure

    Leo Sampaio Ferraz Ribeiro;Tu Bui;John Collomosse;Moacir Ponti

  • Deep learning with wearable based heart rate variability for prediction of mental and general health.

    Louise V. Coutts;David Plans;Alan W. Brown;John P. Collomosse

  • 4D video textures for interactive character appearance

    Dan Casas;Marco Volino;John Collomosse;Adrian Hilton

  • TouchCut: Fast image and video segmentation using single-touch interaction

    Tinghuai Wang;Bo Han;John Collomosse

  • Real-Time Full-Body Motion Capture from Video and IMUs

    Charles Malleson;Andrew Gilbert;Matthew Trumble;John Collomosse

  • Cubist style rendering from photographs

    J.P. Collomosse;P.M. Hall

  • Compact Descriptors for Sketch-based Image Retrieval using a Triplet loss Convolutional Neural Network

    Tu Bui;Leonardo Sampaio Ferraz Ribeiro;Moacir Ponti;John P. Collomosse

  • Sketching out the details: Sketch-based image retrieval using convolutional neural networks with multi-stage regression

    Tu Bui;Leonardo Sampaio Ferraz Ribeiro;Moacir Ponti;John P. Collomosse

  • Empathic painting: interactive stylization through observed emotional state

    Maria Shugrina;Margrit Betke;John Collomosse

  • Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction

    Tong He;John Collomosse;Hailin Jin;Stefano Soatto

  • A bag-of-regions approach to sketch-based image retrieval

    Rui Hu;Tinghuai Wang;John Collomosse

  • Painterly rendering using image salience

    J.P. Collomosse;P.M. Hall

Frequent Co-Authors

Hailin Jin
Hailin Jin Adobe Systems (United States)
Adrian Hilton
Adrian Hilton University of Surrey
Alan Brown
Alan Brown Harvard University
Tobias Isenberg
Tobias Isenberg French Institute for Research in Computer Science and Automation - INRIA
Steve Schneider
Steve Schneider University of Surrey
Paul L. Rosin
Paul L. Rosin Cardiff University
Zhaowen Wang
Zhaowen Wang Adobe Systems (United States)
Yi-Zhe Song
Yi-Zhe Song University of Surrey
Stefano Soatto
Stefano Soatto University of California, Los Angeles
Mark Brosnan
Mark Brosnan University of Bath

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