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Computer Science
Germany
2026

D-Index & Metrics

Computer Science

D-Index
143
Citations
99982
World Ranking
52
National Ranking
4

Bernt Schiele 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 Bernt Schiele 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: 599 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Bernt Schiele 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 Bernt Schiele 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: 143 D-Index — 100th percentile

100% 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

  • 2026 - Research.com Computer Science in Germany Leader Award
  • 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
  • 2021 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Informatics
  • 2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to large-scale object recognition, human detection and pose estimation
  • 2017 - IEEE Fellow For contributions to large-scale object recognition, human detection and pose estimation

Overview

Bernt Schiele is affiliated with the Max Planck Institute for Informatics in Germany, specializing in Computer Science with a predominant focus on Computer Vision and Pattern Recognition as well as Artificial Intelligence. Their research contributions extensively cover areas including Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, and Multimodal Machine Learning Applications.

The scientist has contributed to various specialized subfields, such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Electrical and Electronic Engineering
  • Aerospace Engineering

Several topics frequently appear in their work, including:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Adversarial Robustness in Machine Learning
  • Explainable Artificial Intelligence (XAI)

Bernt Schiele has published significant papers in the following venues:

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

Frequent co-authors collaborating with Schiele include:

  • Mario Fritz
  • Moritz Böhle
  • Dengxin Dai
  • Yongqin Xian
  • Shanshan Zhang

Notable publications authored or co-authored by Bernt Schiele are:

  • The Cityscapes Dataset for Semantic Urban Scene Understanding, 2024, arXiv (Cornell University)
  • SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning, 2023, arXiv (Cornell University)
  • MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Hierarchical Online Instance Matching for Person Search, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Bernt Schiele has received the following awards:

  • German National Academy of Sciences Leopoldina (2021) in Informatics
  • Fellow of the International Association for Pattern Recognition (IAPR) (2018) for contributions to large-scale object recognition, human detection and pose estimation
  • IEEE Fellow (2017) for contributions to large-scale object recognition, human detection and pose estimation

Best Publications

  • The Cityscapes Dataset for Semantic Urban Scene Understanding

    Marius Cordts;Mohamed Omran;Sebastian Ramos;Timo Rehfeld

  • Pedestrian Detection: An Evaluation of the State of the Art

    P. Dollar;C. Wojek;B. Schiele;P. Perona

  • 2D Human Pose Estimation: New Benchmark and State of the Art Analysis

    Mykhaylo Andriluka;Leonid Pishchulin;Peter Gehler;Bernt Schiele

  • Generative adversarial text to image synthesis

    Scott Reed;Zeynep Akata;Xinchen Yan;Lajanugen Logeswaran

  • A tutorial on human activity recognition using body-worn inertial sensors

    Andreas Bulling;Ulf Blanke;Bernt Schiele

  • Pedestrian detection: A benchmark

    Piotr Dollar;Christian Wojek;Bernt Schiele;Pietro Perona

  • Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

    Yongqin Xian;Christoph H. Lampert;Bernt Schiele;Zeynep Akata

  • Robust Object Detection with Interleaved Categorization and Segmentation

    Bastian Leibe;Aleš Leonardis;Bernt Schiele

  • DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model

    Eldar Insafutdinov;Leonid Pishchulin;Bjoern Andres;Mykhaylo Andriluka;Mykhaylo Andriluka

  • Meta-Transfer Learning for Few-Shot Learning

    Qianru Sun;Yaoyao Liu;Tat-Seng Chua;Bernt Schiele

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

    M. Andriluka;S. Roth;B. Schiele

  • Pedestrian detection in crowded scenes

    B. Leibe;E. Seemann;B. Schiele

  • Combined Object Categorization and Segmentation With an Implicit Shape Model

    Bastian Leibe;Ales Leonardis;Bernt Schiele

  • DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

    Leonid Pishchulin;Eldar Insafutdinov;Siyu Tang;Bjoern Andres

  • Evaluation of output embeddings for fine-grained image classification

    Zeynep Akata;Scott Reed;Daniel Walter;Honglak Lee

  • Pictorial structures revisited: People detection and articulated pose estimation

    Mykhaylo Andriluka;Stefan Roth;Bernt Schiele

  • Feature Generating Networks for Zero-Shot Learning

    Yongqin Xian;Tobias Lorenz;Bernt Schiele;Zeynep Akata

  • Analyzing appearance and contour based methods for object categorization

    B. Leibe;B. Schiele

  • What Makes for Effective Detection Proposals

    Jan Hosang;Rodrigo Benenson;Piotr Dollar;Bernt Schiele

  • CityPersons: A Diverse Dataset for Pedestrian Detection

    Shanshan Zhang;Rodrigo Benenson;Bernt Schiele

  • Zero-Shot Learning with Structured Embeddings

    Zeynep Akata;Honglak Lee;Bernt Schiele

Frequent Co-Authors

Mario Fritz
Mario Fritz Helmholtz Center for Information Security
Rodrigo Benenson
Rodrigo Benenson Google (United States)
Mykhaylo Andriluka
Mykhaylo Andriluka Google (United States)
Marcus Rohrbach
Marcus Rohrbach Facebook (United States)
Zeynep Akata
Zeynep Akata University of Tübingen
Matthias Hein
Matthias Hein University of Tübingen
Bastian Leibe
Bastian Leibe RWTH Aachen University
Qianru Sun
Qianru Sun Singapore Management University
Stefan Roth
Stefan Roth Technical University of Darmstadt
Siyu Tang
Siyu Tang ETH Zurich

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