World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
11079
World Ranking
5582
National Ranking
261

Norbert Fuhr 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 Norbert Fuhr 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: 292 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Norbert Fuhr 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 Norbert Fuhr 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

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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