World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
8873
World Ranking
5157
National Ranking
236

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

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
Barry Smith
Barry Smith University at Buffalo, State University of New York

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