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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
43996
World Ranking
1537
National Ranking
60

Stefan Roth 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 Stefan Roth 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Stefan Roth 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 Stefan Roth 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: 73 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Stefan Roth is affiliated with the Technical University of Darmstadt in Germany. Their work primarily spans the field of Computer Science, with a strong focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Media Technology, and Safety, Risk, Reliability and Quality.

Their research interests encompass several main topics:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image Processing Techniques
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods

Stefan Roth has contributed to a number of publications across a variety of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • TUbilio (Technical University of Darmstadt)
  • Lecture notes in computer science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Selected recent papers authored or co-authored by Stefan Roth include:

  • "The Cityscapes Dataset for Semantic Urban Scene Understanding," 2024, arXiv (Cornell University)
  • "MOT20: A benchmark for multi object tracking in crowded scenes," 2020, arXiv (Cornell University)
  • "DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "xGQA: Cross-Lingual Visual Question Answering," 2022, Findings of the Association for Computational Linguistics: ACL 2022
  • "Diverse Image Captioning with Context-Object Split Latent Spaces," 2020, arXiv (Cornell University)

The scientist has collaborated frequently with several co-authors, including:

  • Simone Schaub-Meyer
  • Aleš Leonardis
  • Elisa Ricci
  • Olga Russakovsky
  • Torsten Sattler

In addition to articles, Stefan Roth has published a book titled "Comparative analysis of tools for matching work-related skill profiles with CV data and other unstructured data" in 2021 through the University of South Florida.

Best Publications

  • The Cityscapes Dataset for Semantic Urban Scene Understanding

    Marius Cordts;Mohamed Omran;Sebastian Ramos;Timo Rehfeld

  • A Database and Evaluation Methodology for Optical Flow

    Simon Baker;Daniel Scharstein;J. P. Lewis;Stefan Roth

  • Playing for Data: Ground Truth from Computer Games

    Stephan R. Richter;Vibhav Vineet;Stefan Roth;Vladlen Koltun

  • Secrets of optical flow estimation and their principles

    Deqing Sun;Stefan Roth;Michael J. Black

  • MOT16: A Benchmark for Multi-Object Tracking

    Anton Milan;Laura Leal-Taixé;Ian D. Reid;Stefan Roth

  • A Database and Evaluation Methodology for Optical Flow

    S. Baker;D. Scharstein;J.P. Lewis;S. Roth

  • Fields of Experts: a framework for learning image priors

    S. Roth;M.J. Black

  • People-tracking-by-detection and people-detection-by-tracking

    M. Andriluka;S. Roth;B. Schiele

  • Pictorial structures revisited: People detection and articulated pose estimation

    Mykhaylo Andriluka;Stefan Roth;Bernt Schiele

  • Fields of Experts

    Stefan Roth;Michael J. Black

  • MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

    Laura Leal-Taixé;Anton Milan;Ian D. Reid;Stefan Roth

  • A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them

    Deqing Sun;Stefan Roth;Michael J. Black

  • On the Spatial Statistics of Optical Flow

    Stefan Roth;Michael J. Black

  • Continuous Energy Minimization for Multitarget Tracking

    Anton Milan;Stefan Roth;Konrad Schindler

  • Monocular 3D pose estimation and tracking by detection

    Mykhaylo Andriluka;Stefan Roth;Bernt Schiele

  • Shrinkage Fields for Effective Image Restoration

    Uwe Schmidt;Stefan Roth

  • Benchmarking Denoising Algorithms with Real Photographs

    Tobias Plotz;Stefan Roth

  • Tracking loose-limbed people

    L. Sigal;S. Bhatia;S. Roth;M.J. Black

  • MOT20: A benchmark for multi object tracking in crowded scenes.

    Patrick Dendorfer;Hamid Rezatofighi;Anton Milan;Javen Shi

  • UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss.

    Simon Meister;Junhwa Hur;Stefan Roth

Frequent Co-Authors

Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Jürgen Eckert
Jürgen Eckert University of Leoben
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Ludwig Schultz
Ludwig Schultz TU Dresden
Michael Goesele
Michael Goesele Technical University of Darmstadt
Carsten Rother
Carsten Rother Heidelberg University
Uwe Franke
Uwe Franke Daimler (Germany)
Iryna Gurevych
Iryna Gurevych Technical University of Darmstadt
Mykhaylo Andriluka
Mykhaylo Andriluka Google (United States)

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