World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
8873
World Ranking
5158
National Ranking
237

Udo Hahn 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 Udo Hahn 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: 332 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Udo Hahn 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 Udo Hahn 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Udo Hahn is affiliated with Friedrich Schiller University Jena in Germany and has published extensively in the fields of Biochemistry, Genetics and Molecular Biology, as well as Computer Science. Their research work spans various subfields, including Artificial Intelligence, Molecular Biology, Sociology and Political Science, Physiology, and Public Health, Environmental and Occupational Health.

The scientist's contributions focus predominantly on topics such as Biomedical Text Mining and Ontologies, Natural Language Processing Techniques, Topic Modeling, Machine Learning in Healthcare, Bioinformatics and Genomic Networks, Sentiment Analysis and Opinion Mining, and Text Readability and Simplification.

Udo Hahn has authored papers in multiple reputable venues, including:

  • IL4I1 Is a Metabolic Immune Checkpoint that Activates the AHR and Promotes Tumor Progression, 2020, Cell
  • Medical Information Extraction in the Age of Deep Learning, 2020, Yearbook of Medical Informatics
  • Phosphoproteomics identifies dual-site phosphorylation in an extended basophilic motif regulating FILIP1-mediated degradation of filamin-C, 2020, Communications Biology
  • GHG emission requirements and benchmark values for Norwegian buildings, 2020, IOP Conference Series Earth and Environmental Science
  • Optimized Identification of Advanced Chronic Kidney Disease and Absence of Kidney Disease by Combining Different Electronic Health Data Resources and by Applying Machine Learning Strategies, 2020, Journal of Clinical Medicine

The scientist frequently publishes in venues such as Zenodo (CERN European Organization for Nuclear Research), Studies in health technology and informatics, arXiv (Cornell University), Cell, and Yearbook of Medical Informatics. Among these, 13 publications are noted in Zenodo, followed by six in Studies in health technology and informatics and four in arXiv.

Collaborations are an evident aspect of their work, with common co-authors including Luise Modersohn, Erik Faessler, Christina Lohr, Sven Buechel, and Sascha Schäuble. These collaborators have contributed to multiple shared publications, reflecting ongoing research partnerships.

Best Publications

  • The challenges of automatic summarization

    U. Hahn;I. Mani

  • Functional centering: grounding referential coherence in information structure

    Michael Strube;Udo Hahn

  • Proceedings of the AMIA Symposium

    Stefan Schulz;Philipp Daumke;Barry Smith;Udo Hahn

  • Towards text knowledge engineering

    Udo Hahn;Klemens Schnattinger

  • EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis

    Sven Buechel;Udo Hahn

  • BioTop: An upper domain ontology for the life sciences: A description of its current structure, contents and interfaces to OBO ontologies

    Elena Beisswanger;Stefan Schulz;Holger Stenzhorn;Udo Hahn

  • MEDSYNDIKATE--a natural language system for the extraction of medical information from findings reports.

    Udo Hahn;Martin Romacker;Stefan Schulz

  • Smart Medical Information Technology for Healthcare (SMITH).

    Alfred Winter;Sebastian Stäubert;Danny Ammon;Stephan Aiche

  • High-performance gene name normalization with GeNo

    Joachim Wermter;Katrin Tomanek;Udo Hahn

  • Text mining for biology - the way forward: opinions from leading scientists

    Russ B. Altman;Casey M. Bergman;Judith A. Blake;Christian Blaschke

  • CREATING KNOWLEDGE REPOSITORIES FROM BIOMEDICAL REPORTS: THE MEDSYNDIKATE TEXT MINING SYSTEM

    Udo Hahn;Martin Romacker;Stefan Schulz

  • CALBC silver standard corpus.

    Dietrich Rebholz-Schuhmann;Antonio José Jimeno Yepes;Erik M Van Mulligen;Ning Kang

  • Functional Centering

    Michael Strube;Udo Hahn

  • An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data

    Katrin Tomanek;Joachim Wermter;Udo Hahn

  • Semi-Supervised Active Learning for Sequence Labeling

    Katrin Tomanek;Udo Hahn

  • Multi-Task Active Learning for Linguistic Annotations

    Roi Reichart;Katrin Tomanek;Udo Hahn;Ari Rappoport

  • Event Extraction from Trimmed Dependency Graphs

    Ekaterina Buyko;Erik Faessler;Joachim Wermter;Udo Hahn

  • You Can't Beat Frequency (Unless You Use Linguistic Knowledge) -- A Qualitative Evaluation of Association Measures for Collocation and Term Extraction

    Joachim Wermter;Udo Hahn

  • Topic parsing: accounting for text macro structures in full-text analysis

    U. Hahn

  • How knowledge drives understanding— matching medical ontologies with the needs of medical language processing

    Udo Hahn;Martin Romacker;Stefan Schulz

Frequent Co-Authors

Stefan Schulz
Stefan Schulz Friedrich Schiller University Jena
Michael Strube
Michael Strube Heidelberg Institute for Theoretical Studies
Dietrich Rebholz-Schuhmann
Dietrich Rebholz-Schuhmann University of Cologne
Erik M. van Mulligen
Erik M. van Mulligen Erasmus University Rotterdam
Matthias Jarke
Matthias Jarke RWTH Aachen University
Steffen Staab
Steffen Staab University of Stuttgart
Nigam H. Shah
Nigam H. Shah Stanford University
K. Bretonnel Cohen
K. Bretonnel Cohen University of Colorado Denver
Sophia Ananiadou
Sophia Ananiadou University of Manchester
Nigel Collier
Nigel Collier University of Cambridge

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