Rule-based Systems

Rule-Based Systems is a computational framework within logic programming that employs a set of formal rules to represent knowledge and perform inference, distinguished by its reliance on declarative condition-action statements to derive conclusions or trigger actions based on logical entailment.

1.6K

Publications

95.6K

Citations

3.4K

Authors

1.2K

Institutions

Publications per year

2017–2026

239

Authors

3.4K

  1. FH
    Francisco Herrera

    Universidad de Granada, Spain

    28 publications · 2.5K citations

    19

    h-index

  2. JW
    Jennifer Widom

    Stanford University, United States

    17 publications · 1.4K citations

    17

    h-index

  3. RA
    Rafael Alcalá

    Universidad de Granada, Spain

    16 publications · 1.4K citations

    14

    h-index

  4. HI
    Hisao Ishibuchi

    Osaka Prefecture University, Japan

    17 publications · 668 citations

    13

    h-index

  5. GA
    Grigoris Antoniou

    University of Huddersfield, United Kingdom

    13 publications · 552 citations

    13

    h-index

1–5 of 3.4K

Venues

  1. IEEE Transactions on Fuzzy Systems

    TFS · 35 publications · 4.5K citations

    29

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 34 publications · 1.6K citations

    22

    h-index

  3. Information Sciences

    17 publications · 1.8K citations

    16

    h-index

  4. ACM SIGMOD Record

    16 publications · 710 citations

    14

    h-index

  5. IEEE Transactions on Systems Man and Cybernetics

    16 publications · 1.6K citations

    14

    h-index

1–5