Boolean Circuit Complexity

Boolean Circuit Complexity is a quantitative measure in computational complexity theory that characterizes the minimum size or depth of a Boolean circuit, composed of logical gates and operating over binary inputs, required to compute a given Boolean function, thereby distinguishing it from other models of computation by its non-uniform and combinatorial circuit-based structure.

341

Publications

16.3K

Citations

520

Authors

308

Institutions

Publications per year

2017–2026

45

Authors

520

  1. RR
    Ran Raz

    Weizmann Institute of Science, Israel

    7 publications · 283 citations

    7

    h-index

  2. IW
    Ingo Wegener

    TU Dortmund University, Germany

    7 publications · 238 citations

    7

    h-index

  3. AW
    Avi Wigderson

    Hebrew University of Jerusalem, Israel

    7 publications · 207 citations

    7

    h-index

  4. RP
    Ramamohan Paturi

    University of California San Diego, United States

    7 publications · 251 citations

    7

    h-index

  5. SC
    Stephen Cook

    University of Toronto, Canada

    6 publications · 402 citations

    6

    h-index

1–5 of 520

Venues

  1. SIAM Journal on Computing

    24 publications · 1.3K citations

    20

    h-index

  2. IEEE Transactions on Computers

    20 publications · 1.8K citations

    18

    h-index

  3. Theoretical Computer Science

    14 publications · 580 citations

    12

    h-index

  4. Journal of the ACM

    JACM · 12 publications · 512 citations

    11

    h-index

  5. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 9 publications · 155 citations

    9

    h-index

1–5