World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
13887
World Ranking
4748
National Ranking
32

Andreas Uhl 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 Andreas Uhl 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: 709 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Andreas Uhl 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 Andreas Uhl 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Andreas Uhl is affiliated with the University of Salzburg in Austria, focusing primarily on research within the field of Computer Science. Their work encompasses a range of specialized subfields including Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Molecular Biology, and Genetics.

Their research topics span several key areas, notably:

  • Biometric Identification and Security
  • Face recognition and analysis
  • Digital Media Forensic Detection
  • User Authentication and Security Systems
  • Wood and Agarwood Research
  • Remote Sensing and LiDAR Applications
  • Industrial Vision Systems and Defect Detection

Andreas Uhl has contributed extensively to the academic community through numerous publications. They have frequently published in venues such as:

  • arXiv (Cornell University)
  • IET Biometrics
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • TUGraz OPEN Library (Graz University of Technology)
  • Information Sciences

Some of their recent papers include:

  • PRNU-based detection of facial retouching, 2020, IET Biometrics
  • A Tokenless Cancellable Scheme for Multimodal Biometric Systems, 2021, Computers & Security
  • Finger Vein Template Protection Based on Alignment-Robust Feature Description and Index-of-Maximum Hashing, 2020, IEEE Transactions on Biometrics Behavior and Identity Science
  • Towards practical cancelable biometrics for finger vein recognition, 2021, Information Sciences
  • Roadmap on signal processing for next generation measurement systems, 2023, University of Thessaly Institutional Repository (University of Thessaly)

Collaborations form a significant part of their work, with frequent co-authors including:

  • Georg Wimmer
  • Heinz Hofbauer
  • Christof Kauba
  • Ehsaneddin Jalilian
  • Simon Kirchgasser

Best Publications

  • A survey on biometric cryptosystems and cancelable biometrics

    Christian Rathgeb;Andreas Uhl

  • Survey of wavelet-domain watermarking algorithms

    Peter Meerwald;Andreas Uhl

  • BlenSor: blender sensor simulation toolbox

    Michael Gschwandtner;Roland Kwitt;Andreas Uhl;Wolfgang Pree

  • Depreciating Motivation and Empirical Security Analysis of Chaos-Based Image and Video Encryption

    Mario Preishuber;Thomas Hutter;Stefan Katzenbeisser;Andreas Uhl

  • Computer-Aided Decision Support Systems for Endoscopy in the Gastrointestinal Tract: A Review

    Michael Liedlgruber;Andreas Uhl

  • Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects

    David Frantz;Erik Haß;Andreas Uhl;Johannes Stoffels

  • SELECTIVE BITPLANE ENCRYPTION FOR SECURE TRANSMISSION OF IMAGE DATA IN MOBILE ENVIRONMENTS

    Martina Podesser;Hans-Peter Schmidt;Andreas Uhl

  • Image and Video Encryption: From Digital Rights Management to Secured Personal Communication

    Andreas Uhl;Andreas Pommer

  • A Survey of H.264 AVC/SVC Encryption

    T. Stutz;A. Uhl

  • Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification

    Eduardo Ribeiro;Andreas Uhl;Georg Wimmer;Michael Häfner

  • Weighted adaptive Hough and ellipsopolar transforms for real-time iris segmentation

    Andreas Uhl;Peter Wild

  • Deep Learning with Topological Signatures

    Christoph D. Hofer;Roland Kwitt;Marc Niethammer;Andreas Uhl

  • Cancelable Iris Biometrics Using Block Re-mapping and Image Warping

    Jutta Hämmerle-Uhl;Elias Pschernig;Andreas Uhl

  • Confidential storage and transmission of medical image data

    Roland Norcen;M. Podesser;Andreas Pommer;H.-P. Schmidt

  • Selective encryption of wavelet-packet encoded image data: efficiency and security

    Andreas Pommer;Andreas Uhl

  • Iris Biometrics: From Segmentation to Template Security

    Christian Rathgeb;Andreas Uhl;Peter Wild

  • Colonic Polyp Classification with Convolutional Neural Networks

    Eduardo Ribeiro;Andreas Uhl;Michael Hafner

  • Lightweight Probabilistic Texture Retrieval

    R. Kwitt;A. Uhl

  • Detection of Face Morphing Attacks Based on PRNU Analysis

    Ulrich Scherhag;Luca Debiasi;Christian Rathgeb;Christoph Busch

  • A Ground Truth for Iris Segmentation

    Heinz Hofbauer;Fernando Alonso-Fernandez;Peter Wild;Josef Bigun

  • Secure iris recognition based on local intensity variations

    Christian Rathgeb;Andreas Uhl

  • Color treatment in endoscopic image classification using multi-scale local color vector patterns

    Michael Häfner;Michael Liedlgruber;Andreas Uhl;Andreas Vécsei

Frequent Co-Authors

Christian Rathgeb
Christian Rathgeb Darmstadt University of Applied Sciences
Yvonne Höller
Yvonne Höller University of Akureyri
Eugen Trinka
Eugen Trinka Paracelsus Medical University
Christoph Busch
Christoph Busch Norwegian University of Science and Technology
Shinji Tanaka
Shinji Tanaka Hiroshima University
Raffaele Nardone
Raffaele Nardone Paracelsus Medical University
Fernando Alonso-Fernandez
Fernando Alonso-Fernandez Halmstad University
Manfred Tscheligi
Manfred Tscheligi University of Salzburg
Stefan Katzenbeisser
Stefan Katzenbeisser University of Passau
Marc Niethammer
Marc Niethammer University of North Carolina at Chapel Hill

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