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Computer Science
Austria
2026

D-Index & Metrics

Computer Science

D-Index
100
Citations
50969
World Ranking
364
National Ranking
3

Horst Bischof 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 Horst Bischof 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: 867 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Horst Bischof 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 Horst Bischof 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: 100 D-Index — 97th percentile

97% 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 Austria Leader Award
  • 2025 - Research.com Computer Science in Austria Leader Award
  • 2023 - Research.com Computer Science in Austria Leader Award
  • 2022 - Research.com Computer Science in Austria Leader Award
  • 2012 - Member of Academia Europaea

Overview

Horst Bischof is affiliated with Graz University of Technology in Austria. Their research spans multiple domains within computer science and engineering, with a particular focus on computer vision and pattern recognition.

The main fields of study for Bischof include:

  • Computer Science
  • Engineering

Within these fields, Bischof's work covers several subfields, notably:

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

The scientist's research addresses specific topics such as:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging
  • Video Surveillance and Tracking Methods

Recent published papers by Bischof include:

  • "The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Automatic Detection of Periapical Osteolytic Lesions on Cone-beam Computed Tomography Using Deep Convolutional Neuronal Networks," 2022, Journal of Endodontics
  • "OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection," 2023, IEEE Robotics and Automation Letters

Bischof has frequently collaborated with several coauthors, including:

  • Horst Possegger
  • Andrea Vedaldi
  • Thomas Brox
  • Jan-Michael Frahm
  • M. Jehanzeb Mirza

Bischof's publications have appeared prominently in venues such as:

  • arXiv (Cornell University)
  • TUGraz OPEN Library (Graz University of Technology)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Journal of Endodontics

The scientist has also significantly contributed to book publications, primarily through Springer Science+Business Media. Notably, Bischof contributed to multiple editions of "Computer Vision - ECCV 2020" which have been cited numerous times across distinct chapters or versions.

In recognition of professional achievements, Bischof was named a Member of Academia Europaea in 2012.

Best Publications

  • A duality based approach for realtime TV-L 1 optical flow

    C. Zach;T. Pock;H. Bischof

  • Large scale metric learning from equivalence constraints

    Martin Kostinger;Martin Hirzer;Paul Wohlhart;Peter M. Roth

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • Real-time tracking via on-line boosting

    Helmut Grabner;Michael Grabner;Horst Bischof

  • Semi-supervised On-Line Boosting for Robust Tracking

    Helmut Grabner;Christian Leistner;Horst Bischof

  • On-line Boosting and Vision

    H. Grabner;H. Bischof

  • Computer Vision -- Eccv 2006

    Aleš Leonardis;Horst Bischof;Axel Pinz

  • Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

    T. Heimann;B. van Ginneken;M.A. Styner;Y. Arzhaeva

  • Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization

    Martin Kostinger;Paul Wohlhart;Peter M. Roth;Horst Bischof

  • Person re-identification by descriptive and discriminative classification

    Martin Hirzer;Csaba Beleznai;Peter M. Roth;Horst Bischof

  • Multispectral classification of Landsat-images using neural networks

    H. Bischof;W. Schneider;A.J. Pinz

  • Hough-based tracking of non-rigid objects

    M. Godec;P. M. Roth;H. Bischof

  • Fast and accurate image upscaling with super-resolution forests

    Samuel Schulter;Christian Leistner;Horst Bischof

  • On-line Random Forests

    Amir Saffari;Christian Leistner;Jakob Santner;Martin Godec

  • Mahalanobis Distance Learning for Person Re-Identification

    Peter M. Roth;Martin Hirzer;Martin Köstinger;Csaba Beleznai

  • From structure-from-motion point clouds to fast location recognition

    Arnold Irschara;Christopher Zach;Jan-Michael Frahm;Horst Bischof

  • Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation

    David Ferstl;Christian Reinbacher;Rene Ranftl;Matthias Ruether

  • An Improved Algorithm for TV-L1 Optical Flow

    Andreas Wedel;Thomas Pock;Christopher Zach;Horst Bischof

  • Brain–Computer Communication: Motivation, Aim, and Impact of Exploring a Virtual Apartment

    R. Leeb;F. Lee;C. Keinrath;R. Scherer

  • Relaxed pairwise learned metric for person re-identification

    Martin Hirzer;Peter M. Roth;Martin Köstinger;Horst Bischof

  • The Visual Object Tracking VOT2014 challenge results

    Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

Frequent Co-Authors

Thomas Pock
Thomas Pock Graz University of Technology
Ales Leonardis
Ales Leonardis University of Birmingham
Martin Urschler
Martin Urschler University of Auckland
Friedrich Fraundorfer
Friedrich Fraundorfer Graz University of Technology
Georg Langs
Georg Langs Medical University of Vienna
Axel Pinz
Axel Pinz Graz University of Technology
Christopher Zach
Christopher Zach Chalmers University of Technology
Daniel Cremers
Daniel Cremers Technical University of Munich
Gert Pfurtscheller
Gert Pfurtscheller Graz University of Technology
Peter Brunner
Peter Brunner Washington University in St. Louis

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