World's Best Scientists 2026 revealed!

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Computer Science

D-Index
50
Citations
11079
World Ranking
5581
National Ranking
260

Overview

Norbert Fuhr is affiliated with the University of Duisburg-Essen in Germany and specializes in Computer Science. Their research spans several subfields including Artificial Intelligence, Information Systems, Management Science and Operations Research, Sociology and Political Science, and Signal Processing.

The scientist's work primarily addresses topics such as Information Retrieval and Search Behavior, Semantic Web and Ontologies, Recommender Systems and Techniques, Topic Modeling, Advanced Text Analysis Techniques, Advanced Graph Neural Networks, and Expert Finding and Q&A Systems.

Norbert Fuhr has contributed to multiple research papers, with recent publications including:

  • Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales (2021, DOAJ: Directory of Open Access Journals)
  • Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education (2023, ACM SIGIR Forum)
  • Report from Dagstuhl Seminar 23031: Frontiers of Information Access Experimentation for Research and Education (2023, Leibniz-Zentrum für Informatik (Schloss Dagstuhl))
  • Response to Moffat's Comment on "Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales" (2022, arXiv (Cornell University))
  • Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales (2021, IEEE Access)

The main venues where Norbert Fuhr's work has appeared include:

  • arXiv (Cornell University)
  • ACM SIGIR Forum
  • DOAJ (DOAJ: Directory of Open Access Journals)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • IEEE Access

The scientist has collaborated frequently with several researchers, including:

  • Timo Breuer
  • Philipp Schaer
  • Nicola Ferro
  • Sameh Frihat
  • Christine Bauer

Best Publications

  • Proceedings of the 14th ACM international conference on Information and knowledge management

    Otthein Herzog;Hans-Jörg Schek;Norbert Fuhr;Abdur Chowdhury

  • A probabilistic relational algebra for the integration of information retrieval and database systems

    Norbert Fuhr;Thomas Rölleke

  • Probabilistic models in information retrieval

    Norbert Fuhr

  • XIRQL: a query language for information retrieval in XML documents

    Norbert Fuhr;Kai Großjohann

  • A probabilistic learning approach for document indexing

    Norbert Fuhr;Chris Buckley

  • Evaluation of digital libraries

    Norbert Fuhr;Giannis Tsakonas;Trond Aalberg;Maristella Agosti

  • Models for retrieval with probabilistic indexing

    Norbert Fuhr

  • Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

    James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley

  • A decision-theoretic approach to database selection in networked IR

    Norbert Fuhr

  • AIR/X - A rule-based multistage indexing system for Iarge subject fields.

    Norbert Fuhr;Stephan Hartmann;Gerhard Lustig;Michael Schwantner

  • Optimum polynomial retrieval functions based on the probability ranking principle

    Norbert Fuhr

  • Probabilistic Datalog—a logic for powerful retrieval methods

    Norbert Fuhr

  • Digital Libraries: A Generic Classification and Evaluation Scheme

    Norbert Fuhr;Preben Hansen;Michael Mabe;András Micsik

  • Advances in XML Information Retrieval and Evaluation

    Norbert Fuhr;Mounia Lalmas;Saadia Malik;Gabriella Kazai

  • Some Common Mistakes In IR Evaluation, And How They Can Be Avoided

    Norbert Fuhr

  • A probability ranking principle for interactive information retrieval

    Norbert Fuhr

  • Focused Access to XML Documents: 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007 Dagstuhl Castle, Germany, December 17-19, 2007. Selected Papers

    Norbert Fuhr;Jaap Kamps;Mounia Lalmas;Andrew Trotman

  • A Probabilistic Framework for Vague Queries and Imprecise Information in Databases

    Norbert Fuhr

  • Retrieval effectiveness of proper name search methods

    Ulrich Pfeifer;Thomas Poersch;Norbert Fuhr

  • Probabilistic Datalog: implementing logical information retrieval for advanced applications

    Norbert Fuhr

Frequent Co-Authors

Gabriella Kazai
Gabriella Kazai Microsoft (United States)
Jaap Kamps
Jaap Kamps University of Amsterdam
Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Ian Soboroff
Ian Soboroff National Institute of Standards and Technology
Wessel Kraaij
Wessel Kraaij Leiden University
Ralf Schenkel
Ralf Schenkel University of Trier
Gregory Grefenstette
Gregory Grefenstette Florida Institute for Human and Machine Cognition
Benno Stein
Benno Stein Bauhaus University, Weimar

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