Boolean Retrieval Model

The Boolean Retrieval Model is a retrieval model that uses Boolean logic to represent queries and match documents, where retrieval decisions are based on whether documents satisfy exact logical expressions of terms combined via operators such as AND, OR, and NOT.

101

Publications

7.4K

Citations

170

Authors

96

Institutions

Publications per year

2017–2026

4

Authors

170

  1. TR
    Tadeusz Radecki

    Wrocław University of Science and Technology, Poland

    6 publications · 122 citations

    6

    h-index

  2. EA
    Edward A. Fox

    Virginia Tech, United States

    5 publications · 2.1K citations

    5

    h-index

  3. DH
    Donald H. Kraft

    Louisiana State University, United States

    5 publications · 557 citations

    5

    h-index

  4. GS
    Gerard Salton

    Cornell University, United States

    5 publications · 1.2K citations

    5

    h-index

  5. JH
    Joon Ho Lee

    Seoul National University, South Korea

    4 publications · 425 citations

    4

    h-index

1–5 of 170

Venues

  1. Journal of the American Society for Information Science

    JASIS · 17 publications · 984 citations

    15

    h-index

  2. Information Processing & Management

    11 publications · 511 citations

    11

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 199 citations

    3

    h-index

  4. ACM SIGIR Forum

    3 publications · 455 citations

    3

    h-index

  5. Journal of Documentation

    3 publications · 329 citations

    3

    h-index

1–5