Logic Program Optimization

Logic Program Optimization is a methodological framework within declarative computing that enhances the efficiency and efficacy of logic programs by systematically transforming their syntactic and semantic structures while preserving their logical meaning.

44

Publications

1.5K

Citations

85

Authors

45

Institutions

Publications per year

2017–2026

3

Authors

85

  1. SD
    S. Debray

    University of Arizona, United States

    3 publications · 59 citations

    3

    h-index

  2. DS
    David S. Warren

    Stony Brook University, United States

    3 publications · 107 citations

    3

    h-index

  3. HG
    Haim Gaifman

    Hebrew University of Jerusalem, Israel

    3 publications · 275 citations

    3

    h-index

  4. MY
    Moshe Y. Vardi

    Rice University, United States

    3 publications · 275 citations

    3

    h-index

  5. SS
    Stavros S. Cosmadakis

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 201 citations

    2

    h-index

1–5 of 85

Venues

  1. Theory and Practice of Logic Programming

    3 publications · 69 citations

    3

    h-index

  2. Journal of the ACM

    JACM · 3 publications · 98 citations

    3

    h-index

  3. Journal of Logic and Computation

    2 publications · 30 citations

    2

    h-index

  4. The Journal of Logic Programming

    2 publications · 39 citations

    2

    h-index

  5. Theoretical Computer Science

    2 publications · 114 citations

    2

    h-index

1–5