Relevance Ranking

Relevance Ranking is an information retrieval ranking method that orders documents (or other retrieved items) by assigning and sorting them according to numeric scores estimating their degree of relevance to a user’s query.

1.3K

Publications

107.7K

Citations

3K

Authors

821

Institutions

Publications per year

2017–2026

280

Authors

3K

  1. SR
    Stephen Robertson

    Microsoft Research (United Kingdom), United Kingdom

    17 publications · 5.5K citations

    15

    h-index

  2. TS
    Tetsuya Sakai

    Waseda University, Japan

    19 publications · 859 citations

    14

    h-index

  3. WB
    W. Bruce Croft

    University of Massachusetts Amherst, United States

    14 publications · 1.6K citations

    13

    h-index

  4. YC
    Yi Chang

    Yahoo (United States), United States

    13 publications · 658 citations

    13

    h-index

  5. JW
    Ji-Rong Wen

    Renmin University of China, China

    13 publications · 945 citations

    13

    h-index

1–5 of 3K

Venues

  1. Information Processing & Management

    47 publications · 18.7K citations

    30

    h-index

  2. arXiv (Cornell University)

    Repository · 40 publications · 1.4K citations

    20

    h-index

  3. ACM Transactions on Information Systems

    21 publications · 1.6K citations

    17

    h-index

  4. Information Retrieval

    17 publications · 1.6K citations

    16

    h-index

  5. Text REtrieval Conference

    Conference · 19 publications · 812 citations

    14

    h-index

1–5