Document Similarity

Document Similarity is a measure in vector space retrieval that quantifies the degree of resemblance between two documents based on their vector representations in a high-dimensional space, typically computed using cosine similarity or related metrics.

1.4K

Publications

96.8K

Citations

4.8K

Authors

1.1K

Institutions

Publications per year

2017–2026

302

Authors

4.8K

  1. PW
    Peter Willett

    University of Sheffield, United Kingdom

    10 publications · 395 citations

    10

    h-index

  2. NZ
    Nívio Ziviani

    Universidade Federal de Minas Gerais, Brazil

    8 publications · 285 citations

    8

    h-index

  3. BG
    Béla Gipp

    University of Konstanz, Germany

    7 publications · 294 citations

    7

    h-index

  4. LL
    Loet Leydesdorff

    University of Amsterdam, Netherlands

    6 publications · 556 citations

    6

    h-index

  5. JL
    Jimmy Lin

    University of Waterloo, Canada

    6 publications · 626 citations

    6

    h-index

1–5 of 4.8K

Venues

  1. Information Processing & Management

    25 publications · 1.6K citations

    23

    h-index

  2. Journal of the American Society for Information Science

    JASIS · 32 publications · 14.3K citations

    22

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 21 publications · 1.7K citations

    19

    h-index

  4. Information Sciences

    16 publications · 1.1K citations

    15

    h-index

  5. arXiv (Cornell University)

    Repository · 30 publications · 902 citations

    15

    h-index

1–5