Complexity Of Boolean Functions

Complexity of Boolean Functions is a theoretical framework in computational complexity theory that characterizes the inherent difficulty of computing Boolean functions by measuring the minimum resources, such as time, circuit size, or decision tree depth, required by any algorithm or computational model to evaluate them correctly on all inputs.

736

Publications

46K

Citations

1.1K

Authors

509

Institutions

Publications per year

2017–2026

79

Authors

1.1K

  1. RA
    Rocco A. Servedio

    Columbia University, United States

    25 publications · 1K citations

    17

    h-index

  2. IW
    Ingo Wegener

    TU Dortmund University, Germany

    14 publications · 1.1K citations

    13

    h-index

  3. CC
    Claude Carlet

    Université Paris 8, France

    12 publications · 661 citations

    11

    h-index

  4. RO
    Ryan O’Donnell

    Carnegie Mellon University, United States

    10 publications · 482 citations

    10

    h-index

  5. AW
    Avi Wigderson

    Hebrew University of Jerusalem, Israel

    11 publications · 647 citations

    10

    h-index

1–5 of 1.1K

Venues

  1. SIAM Journal on Computing

    55 publications · 3.8K citations

    30

    h-index

  2. Theoretical Computer Science

    28 publications · 1.4K citations

    20

    h-index

  3. IEEE Transactions on Computers

    24 publications · 10.8K citations

    19

    h-index

  4. IEEE Transactions on Information Theory

    24 publications · 1.1K citations

    17

    h-index

  5. Journal of the ACM

    JACM · 20 publications · 2.7K citations

    15

    h-index

1–5