World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
13792
World Ranking
4504
National Ranking
2108

Thomas M. Breuel 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 Thomas M. Breuel 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: 260 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Thomas M. Breuel 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 Thomas M. Breuel 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Thomas M. Breuel is affiliated with Nvidia in the United States and has a research focus primarily in the field of Computer Science, evident through 31 publications. Their work broadly covers subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering, and Aerospace Engineering.

The scientist's research spans several main topics, which include:

  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Music and Audio Processing
  • Domain Adaptation and Few-Shot Learning
  • Video Analysis and Summarization
  • Advanced Vision and Imaging

Thomas M. Breuel has contributed to many publications appearing in multiple venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • International Journal of Computer Vision

Some of their recent academic papers are:

  • "GroupViT: Semantic Segmentation Emerges from Text Supervision," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Adaptive Binarization of Unconstrained Hand-Held Camera-Captured Document Images," 2020, Zenodo (CERN European Organization for Nuclear Research)
  • "Parameter Efficient Multimodal Transformers for Video Representation Learning," 2020, arXiv (Cornell University)
  • "ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Discovering Nonlinear Relations with Minimum Predictive Information Regularization," 2020, arXiv (Cornell University)

The scientist has collaborated frequently with other researchers, including:

  • Jan Kautz
  • Wonmin Byeon
  • Youngjae Yu
  • Gunhee Kim
  • Yale Song

Best Publications

  • Unsupervised Image-to-Image Translation Networks

    Ming-Yu Liu;Thomas M. Breuel;Jan Kautz

  • Large-scale visual sentiment ontology and detectors using adjective noun pairs

    Damian Borth;Rongrong Ji;Tao Chen;Thomas Breuel

  • Personalized search

    James Pitkow;Hinrich Schütze;Todd Cass;Rob Cooley

  • System and method for searching and recommending documents in a collection using shared bookmarks

    Eytan Adar;Thomas M. Breuel;Todd A. Cass;James E. Pitkow

  • Scene labeling with LSTM recurrent neural networks

    Wonmin Byeon;Thomas M. Breuel;Federico Raue;Marcus Liwicki

  • Efficient implementation of local adaptive thresholding techniques using integral images

    Faisal Shafait;Daniel Keysers;Thomas M. Breuel

  • Hand Pose Estimation via Latent 2.5D Heatmap Regression

    Umar Iqbal;Umar Iqbal;Pavlo Molchanov;Thomas M. Breuel;Juergen Gall

  • High-Performance OCR for Printed English and Fraktur Using LSTM Networks

    Thomas M. Breuel;Adnan Ul-Hasan;Mayce Ali Al-Azawi;Faisal Shafait

  • The OCRopus open source OCR system

    Thomas M. Breuel

  • Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms

    F. Shafait;D. Keysers;T.M. Breuel

  • Two Geometric Algorithms for Layout Analysis

    Thomas M. Breuel

  • Automatic classifier selection for non-experts

    Matthias Reif;Faisal Shafait;Markus Goldstein;Thomas Breuel

  • Fast recognition using adaptive subdivisions of transformation space

    T.M. Breuel

  • Deep Learners Benefit More from Out-of-Distribution Examples

    Yoshua Bengio;Frédéric Bastien;Arnaud Bergeron;Nicolas Boulanger-Lewandowski

  • Visual words on baggage X-ray images

    Muhammet Baştan;Mohammad Reza Yousefi;Thomas M. Breuel

  • Document image dewarping using robust estimation of curled text lines

    A. Ulges;C.H. Lampert;T.M. Breuel

  • High Performance Document Layout Analysis

    Thomas M. Breuel

  • Deepdocclassifier: Document classification with deep Convolutional Neural Network

    Muhammad Zeshan Afzal;Samuele Capobianco;Muhammad Imran Malik;Simone Marinai

  • Neural network for keyboard input decoding

    Shumin Zhai;Thomas Breuel;Ouais Alsharif;Yu Ouyang

  • Implementation techniques for geometric branch-and-bound matching methods

    Thomas M. Breuel

Frequent Co-Authors

Faisal Shafait
Faisal Shafait National University of Sciences and Technology
Daniel Keysers
Daniel Keysers Google (United States)
Christoph H. Lampert
Christoph H. Lampert Institute of Science and Technology Austria
Andreas Dengel
Andreas Dengel German Research Centre for Artificial Intelligence
Mark J. Stefik
Mark J. Stefik Palo Alto Research Center
Daniel H. Greene
Daniel H. Greene Palo Alto Research Center
James E. Pitkow
James E. Pitkow Palo Alto Research Center
Jan Kautz
Jan Kautz Nvidia (United States)
Kenneth P. Fishkin
Kenneth P. Fishkin Google (United States)
Eric Saund
Eric Saund IEEE-USA

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