Term Weighting

Term Weighting is a method within retrieval models that assigns numerical values to terms in a document or query to reflect their relative importance or discriminative power in representing information content.

373

Publications

34.3K

Citations

838

Authors

343

Institutions

Publications per year

2017–2026

88

Authors

838

  1. GS
    Gerard Salton

    Cornell University, United States

    9 publications · 10K citations

    9

    h-index

  2. SR
    Stephen Robertson

    Microsoft Research (United Kingdom), United Kingdom

    6 publications · 5.4K citations

    6

    h-index

  3. JC
    Jamie Callan

    Carnegie Mellon University, United States

    6 publications · 527 citations

    6

    h-index

  4. HA
    Hakan Altınçay

    Eastern Mediterranean University, Cyprus

    5 publications · 143 citations

    5

    h-index

  5. KS
    Karen Spärck Jones

    University of Cambridge, United Kingdom

    5 publications · 2.4K citations

    5

    h-index

1–5 of 838

Venues

  1. Expert Systems with Applications

    15 publications · 1.1K citations

    14

    h-index

  2. Information Processing & Management

    13 publications · 10.3K citations

    13

    h-index

  3. Journal of the American Society for Information Science

    JASIS · 12 publications · 2.6K citations

    11

    h-index

  4. Journal of Documentation

    8 publications · 1.7K citations

    8

    h-index

  5. arXiv (Cornell University)

    Repository · 6 publications · 394 citations

    6

    h-index

1–5