Boolean Formula Size

Boolean Formula Size is a complexity measure in computational theory that denotes the minimum number of logical connectives and variables required to express a given Boolean function as a formula, distinguishing it from other complexity measures by its focus on the syntactic size of formulaic representations rather than circuit depth, communication rounds, or decision tree complexity.

96

Publications

3.5K

Citations

158

Authors

89

Institutions

Publications per year

2017–2026

10

Authors

158

  1. RR
    Ran Raz

    Weizmann Institute of Science, Israel

    5 publications · 123 citations

    5

    h-index

  2. TP
    Toniann Pitassi

    University of Toronto, Canada

    4 publications · 190 citations

    4

    h-index

  3. IW
    Ingo Wegener

    TU Dortmund University, Germany

    4 publications · 114 citations

    4

    h-index

  4. AD
    Arnaud Durand

    Université Paris Cité, France

    4 publications · 136 citations

    4

    h-index

  5. RŠ
    Robert Špalek

    University of California, Berkeley, United States

    4 publications · 397 citations

    4

    h-index

1–5 of 158

Venues

  1. SIAM Journal on Computing

    10 publications · 428 citations

    10

    h-index

  2. Random Structures and Algorithms

    5 publications · 186 citations

    5

    h-index

  3. Theoretical Computer Science

    4 publications · 242 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 4 publications · 64 citations

    4

    h-index

  5. Computational Complexity

    CC · 3 publications · 149 citations

    3

    h-index

1–5