World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
17110
World Ranking
2742
National Ranking
120

Andreas Dengel 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 Dengel 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 662 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Andreas Dengel 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 Dengel sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 63 D-Index — 81st percentile

81% 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

  • 2004 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to document understanding and for service to IAPR.

Overview

Andreas Dengel is affiliated with the German Research Centre for Artificial Intelligence in Germany. Their work primarily spans the field of Computer Science, with a strong emphasis on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Signal Processing, and Media Technology.

The scientist has contributed extensively to topics within their fields, including:

  • Handwritten Text Recognition Techniques
  • Advanced Neural Network Applications
  • Machine Learning in Bioinformatics
  • Topic Modeling
  • Cell Image Analysis Techniques
  • Anomaly Detection Techniques and Applications
  • Advanced Image Processing Techniques

Andreas Dengel's publications appear frequently in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Access
  • bioRxiv (Cold Spring Harbor Laboratory)
  • SSRN Electronic Journal

Among their recent papers are:

  • "LIVECell-A large-scale dataset for label-free live cell segmentation" (2021), published in Nature Methods
  • "Audioclip: Extending Clip to Image, Text and Audio" (2022), presented at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Adversarial text-to-image synthesis: A review" (2021), published in Neural Networks
  • "Computer-Aided Diagnosis of Skin Diseases Using Deep Neural Networks" (2020), published in Applied Sciences
  • "Segment Anything for Microscopy" (2025), forthcoming in Nature Methods

The scientist frequently collaborates with other researchers, including:

  • Sheraz Ahmed
  • Federico Raue
  • Sebastian Palacio
  • Stanislav Frolov
  • Brian B. Moser

In recognition of their work, Andreas Dengel was named a Fellow of the International Association for Pattern Recognition (IAPR) in 2004, acknowledged for contributions to document understanding and service to the IAPR.

Best Publications

  • EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

    Patrick Helber;Benjamin Bischke;Andreas Dengel;Damian Borth

  • DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series

    Mohsin Munir;Shoaib Ahmed Siddiqui;Andreas Dengel;Sheraz Ahmed

  • ICDAR 2011 Robust Reading Competition Challenge 2: Reading Text in Scene Images

    Asif Shahab;Faisal Shafait;Andreas Dengel

  • Histogram-based Outlier Score (HBOS): A fast Unsupervised Anomaly Detection Algorithm

    Markus Goldstein;Andreas Dengel

  • DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images

    Sebastian Schreiber;Stefan Agne;Ivo Wolf;Andreas Dengel

  • LIVECell—A large-scale dataset for label-free live cell segmentation

    Christoffer Edlund;Timothy R Jackson;Nabeel Khalid;Nicola Bevan

  • Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks

    Benjamin Bischke;Patrick Helber;Joachim Folz;Damian Borth

  • AudioCLIP: Extending CLIP to Image, Text and Audio

    Andrey Guzhov;Federico Raue;Jörn Hees;Andreas Dengel

  • Overview and outlook on the semantic desktop

    Leo Sauermann;Ansgar Bernardi;Andreas Dengel

  • On the evaluation of document analysis components by recall, precision, and accuracy

    M. Junker;R. Hoch;A. Dengel

  • Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

    Muhammad Naseer Bajwa;Muhammad Naseer Bajwa;Muhammad Imran Malik;Shoaib Ahmed Siddiqui;Shoaib Ahmed Siddiqui;Andreas Dengel;Andreas Dengel

  • Adversarial text-to-image synthesis: A review.

    Stanislav Frolov;Tobias Hinz;Tobias Hinz;Federico Raue;Jörn Hees

  • Meta-learning for evolutionary parameter optimization of classifiers

    Matthias Reif;Faisal Shafait;Andreas Dengel

  • Eye movements as implicit relevance feedback

    Georg Buscher;Andreas Dengel;Ludger van Elst

  • Automatic classifier selection for non-experts

    Matthias Reif;Faisal Shafait;Markus Goldstein;Thomas Breuel

  • In the blink of an eye: combining head motion and eye blink frequency for activity recognition with Google Glass

    Shoya Ishimaru;Kai Kunze;Koichi Kise;Jens Weppner

  • Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

    Patrick Helber;Benjamin Bischke;Andreas Dengel;Damian Borth

  • Computer-Aided Diagnosis of Skin Diseases Using Deep Neural Networks

    Muhammad Naseer Bajwa;Kaoru Muta;Muhammad Imran Malik;Shoaib Ahmed Siddiqui

  • Attentive documents: Eye tracking as implicit feedback for information retrieval and beyond

    Georg Buscher;Andreas Dengel;Ralf Biedert;Ludger V. Elst

  • From paper to office document standard representation

    Andreas Dengel;Rainer Bleisinger;Rainer Hoch;Frank Fein

  • Document Structure Analysis Based on Layout and Textual Features

    Stefan Klink;Andreas Dengel;Thomas Kieninger

  • Semantic desktop 2.0: the Gnowsis experience

    Leo Sauermann;Gunnar Aastrand Grimnes;Malte Kiesel;Christiaan Fluit

  • DeXpression: Deep Convolutional Neural Network for Expression Recognition.

    Peter Burkert;Felix Trier;Muhammad Zeshan Afzal;Andreas Dengel

Frequent Co-Authors

Faisal Shafait
Faisal Shafait National University of Sciences and Technology
Thomas M. Breuel
Thomas M. Breuel Nvidia (United States)
Michael Sintek
Michael Sintek German Research Centre for Artificial Intelligence
Kai Kunze
Kai Kunze Keio University
Ralph Bergmann
Ralph Bergmann University of Trier

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As you explore Computer Science opportunities in the USA, it's important to consider a range of online degree and career pathways. For those seeking a fast track, earning the quickest cheapest masters degree can be an efficient and affordable way to boost your credentials and enter the workforce sooner.

Many professionals also look for programs that offer strong job prospects. Choosing one of the most in demand masters degrees can significantly enhance your marketability and earning potential in the tech sector.

If you're just starting your journey, consider an associates degree online in computer science or a related field. This pathway is a cost-effective entry point into the industry and can often be completed entirely online.

Affordability is another key concern for many students. It's worth researching the cheapest online college options that offer accredited computer science programs and flexible study schedules.

Best Scientists Citing Andreas Dengel

Trending Scientists

Recently Published Articles