World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7484
World Ranking
11066
National Ranking
701

Dima Damen 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 Dima Damen 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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.

Dima Damen 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 Dima Damen sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Dima Damen is affiliated with the University of Bristol in the United Kingdom. Their research primarily focuses on computer science, with a strong concentration in computer vision and pattern recognition. Their work extends into related subfields including artificial intelligence, signal processing, sociology and political science, and control and systems engineering.

The scientist has made notable contributions in several research topics including:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Video Analysis and Summarization
  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging

Damen has a substantial publication record, with 160 works in computer science. Their frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • Bristol Research (University of Bristol)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Among their recent papers are:

  • "Ego4D: Around the World in 3,000 Hours of Egocentric Video" (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100" (2021), published in International Journal of Computer Vision
  • "The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Rescaling Egocentric Vision" (2020), published on arXiv (Cornell University)

Frequent co-authors collaborating with Damen include:

  • Michael Wray
  • Toby Perrett
  • Antonino Furnari
  • Giovanni Maria Farinella
  • Andrew Zisserman

Best Publications

  • Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

    Dima Damen;Hazel Doughty;Giovanni Maria Farinella;Sanja Fidler

  • British Machine Vision Conference (BMVC)

    Dima Damen;David Hogg

  • Ego4D: Around the World in 3,000 Hours of Egocentric Video

    Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis

  • Proceedings of the British Machine Vision Conference

    Dima Damen;Teesid Leelasawassuk;Osian Haines;Andrew D Calway

  • Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100

    Dima Damen;Hazel Doughty;Hazel Doughty;Giovanni Maria Farinella;Antonino Furnari

  • EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition

    Evangelos Kazakos;Arsha Nagrani;Andrew Zisserman;Dima Damen

  • Computer Vision and Pattern Recognition (CVPR)

    Dima Damen;David Hogg

  • Detecting Carried Objects in Short Video Sequences

    Dima Damen;David Hogg

  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

    Dima Damen;Andrew Gee;Walterio W Mayol-Cuevas;Andrew D Calway

  • Temporal-Relational CrossTransformers for Few-Shot Action Recognition

    Toby Perrett;Alessandro Masullo;Tilo Burghardt;Majid Mirmehdi

  • The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines

    Dima Damen;Hazel Doughty;Giovanni Maria Farinella;Sanja Fidler

  • Multi-Modal Domain Adaptation for Fine-Grained Action Recognition

    Jonathan Munro;Dima Damen

  • Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination

    Hazel Doughty;Dima Damen;Walterio Mayol-Cuevas

  • Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

    Dima Damen;Hazel Doughty;Giovanni Maria Farinella;Sanja Fidler

  • Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

    Unknown

  • Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

    Michael Wray;Gabriela Csurka;Diane Larlus;Dima Damen

  • Rescaling Egocentric Vision.

    Dima Damen;Hazel Doughty;Giovanni Maria Farinella;Antonino Furnari

  • The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos

    Hazel Doughty;Walterio Mayol-Cuevas;Dima Damen

  • Egocentric Video-Language Pretraining

    Unknown

  • You-Do, I-Learn: Discovering Task Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video

    Dima Damen;Teesid Leelasawassuk;Osian Haines;Andrew Calway

  • Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling

    Massimo Camplani;Sion L. Hannuna;Majid Mirmehdi;Dima Damen

  • Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach

    Dima Damen;Pished Bunnun;Andrew D Calway;Walterio W Mayol-Cuevas

  • A multi-modal sensor infrastructure for healthcare in a residential environment

    Przemyslaw Woznowski;Xenofon Fafoutis;Terence Song;Sion Hannuna

  • Recognizing linked events: Searching the space of feasible explanations

    Dima Damen;David Hogg

  • Egocentric Real-time Workspace Monitoring using an RGB-D camera

    Dima Damen;Andrew Gee;Walterio Mayol-Cuevas;Andrew Calway

  • Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

    Michael Wray;Diane Larlus;Gabriela Csurka;Dima Damen

Frequent Co-Authors

Majid Mirmehdi
Majid Mirmehdi University of Bristol
Ian J Craddock
Ian J Craddock University of Bristol
David C. Hogg
David C. Hogg University of Leeds
Giovanni Maria Farinella
Giovanni Maria Farinella University of Catania
Sanja Fidler
Sanja Fidler University of Toronto
Andrew Zisserman
Andrew Zisserman University of Oxford
Robert J. Piechocki
Robert J. Piechocki University of Bristol
David Bull
David Bull University of Bristol
Iain D. Gilchrist
Iain D. Gilchrist University of Bristol

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