World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6551
World Ranking
8896
National Ranking
442

Gernot A. Fink 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 Gernot A. Fink 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: 256 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Gernot A. Fink 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 Gernot A. Fink 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Gernot A. Fink is affiliated with TU Dortmund University in Germany, specializing in computer science with a focus on computer vision, pattern recognition, and artificial intelligence. Their body of work includes 94 publications primarily within the broader field of computer science, with subfield emphases on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Signal Processing, and Surgery.

Their research covers a variety of topics including Handwritten Text Recognition Techniques, Context-Aware Activity Recognition Systems, Multimodal Machine Learning Applications, Anomaly Detection Techniques and Applications, Natural Language Processing Techniques, Topic Modeling, and Human Pose and Action Recognition.

Gernot A. Fink has authored papers in several publication venues. Notably, they have contributed 11 publications to arXiv (Cornell University), 3 to the 2022 26th International Conference on Pattern Recognition (ICPR), 3 to the International Journal on Document Analysis and Recognition (IJDAR), 3 to Zenodo (CERN European Organization for Nuclear Research), and 1 to Sensors.

Among recent papers published are:

  • LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes, 2020, Sensors
  • Layout Analysis for Camera-Based Whiteboard Notes, 2020, Zenodo (CERN European Organization for Nuclear Research)
  • UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs, 2022, arXiv (Cornell University)
  • Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation, 2022, 2022 26th International Conference on Pattern Recognition (ICPR)
  • Design of an Artificial Neural Network Circuit for detecting Atrial Fibrillation in ECG Signals, 2021, 2021 IEEE Sensors

The scientist has collaborated frequently with a number of coauthors, including Fernando Moya Rueda (14 joint works), Fabian Wolf (13 joint works), Nilah Ravi Nair (11 joint works), Christopher Reining (10 joint works), and Oliver Tüselmann (9 joint works).

In addition to journal and conference papers, Gernot A. Fink has contributed to book publications, including a title published by Springer Science+Business Media: "Document Analysis and Recognition - ICDAR 2023" (2023).

Best Publications

  • Markov Models for Pattern Recognition: From Theory to Applications

    Gernot A. Fink

  • Markov models for offline handwriting recognition: a survey

    Thomas Plötz;Gernot A. Fink

  • PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents

    Sebastian Sudholt;Gernot A. Fink

  • Combining acoustic and articulatory feature information for robust speech recognition

    Katrin Kirchhoff;Gernot A Fink;Gerhard Sagerer

  • KHATT: An open Arabic offline handwritten text database

    Sabri A. Mahmoud;Irfan Ahmad;Wasfi G. Al-Khatib;Mohammad Alshayeb

  • Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors

    Fernando Moya Rueda;René Grzeszick;Gernot A. Fink;Sascha Feldhorst

  • Providing the basis for human-robot-interaction: a multi-modal attention system for a mobile robot

    Sebastian Lang;Marcus Kleinehagenbrock;Sascha Hohenner;Jannik Fritsch

  • Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images

    Waleed M. Gondal;Jan M. Kohler;Rene Grzeszick;Gernot A. Fink

  • BIRON - The Bielefeld Robot Companion

    Axel Haasch;Sascha Hohenner;Sonja Hüwel;Marcus Kleinehagenbrock

  • Multi-modal anchoring for human–robot interaction

    Jannik Fritsch;Marcus Kleinehagenbrock;Sebastian Lang;Thomas Plötz

  • Developing HMM-Based Recognizers with ESMERALDA

    Gernot A. Fink

  • Multi-modal human-machine communication for instructing robot grasping tasks

    P. McGuire;J. Fritsch;J.J. Steil;F. Rothling

  • Bag-of-Features HMMs for Segmentation-Free Word Spotting in Handwritten Documents

    Leonard Rothacker;Marcal Rusinol;Gernot A. Fink

  • KHATT: Arabic Offline Handwritten Text Database

    Sabri A. Mahmoud;Irfan Ahmad;Mohammad Alshayeb;Wasfi G. Al-Khatib

  • Person tracking with a mobile robot based on multi-modal anchoring

    M. Kleinehagenbrock;S. Lang;J. Fritsch;F. Lomker

  • Improving adaptive skin color segmentation by incorporating results from face detection

    J. Fritsch;S. Lang;A. Kleinehagenbrock;G.A. Fink

  • Toward automatic video-based whiteboard reading

    Markus Wienecke;Gernot A. Fink;Gerhard Sagerer

  • Audiovisual Person Tracking with a Mobile Robot

    Jannik Fritsch;Marcus Kleinehagenbrock;Sebastian Lang;Gernot A. Fink

  • A Bag-of-Features approach to acoustic event detection

    Axel Plinge;Rene Grzeszick;Gernot A. Fink

  • Face Detection Using GPU-Based Convolutional Neural Networks

    Fabian Nasse;Christian Thurau;Gernot A. Fink

Frequent Co-Authors

Gerhard Sagerer
Gerhard Sagerer Bielefeld University
Thomas Plötz
Thomas Plötz Georgia Institute of Technology
Helge Ritter
Helge Ritter Bielefeld University
Jochen J. Steil
Jochen J. Steil Technische Universität Braunschweig
Christian Bauckhage
Christian Bauckhage University of Bonn
Heinrich Niemann
Heinrich Niemann University of Erlangen-Nuremberg
Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute
Katrin Kirchhoff
Katrin Kirchhoff Amazon (United States)
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn
Francisco Casacuberta
Francisco Casacuberta Universitat Politècnica de València

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 technology reshapes the global job market, more students are choosing flexible online degrees to complement or further their education in Computer Science. Today, numerous affordable programs allow students to specialize in high-demand fields without relocating or interrupting their careers.

Data Science continues to be one of the most sought-after domains, with top data science programs offering rigorous curricula and hands-on learning, often at tuition rates accessible to a broad range of students. Similarly, those interested in project leadership and construction technologies can explore the best online masters in construction management, which equip graduates for roles in a booming industry.

For students seeking business expertise alongside technical knowledge, an MBA is a strong choice. The cheapest mba programs can provide essential management skills without heavy financial burdens. Additionally, busy professionals often opt for intensive 1 year master programs to quickly gain credentials and advance their careers.

Researching these related online degrees can help you tailor your education to your career goals and transition smoothly into industries where Computer Science is a key driver.

Best Scientists Citing Gernot A. Fink

Trending Scientists

Recently Published Articles