Uniform Complexity

Uniform Complexity is a theoretical framework within computational complexity theory that characterizes the resources required by uniform families of Boolean circuits to solve computational problems, distinguished by the requirement that a single, recursive algorithm must generate the entire circuit family.

41

Publications

3.2K

Citations

56

Authors

44

Institutions

Publications per year

2017–2026

1

Authors

56

  1. NI
    Neil Immerman

    University of Massachusetts Amherst, United States

    4 publications · 128 citations

    4

    h-index

  2. SC
    Stephen Cook

    University of Toronto, Canada

    4 publications · 364 citations

    4

    h-index

  3. LT
    Luca Trevisan

    University of California, Berkeley, United States

    3 publications · 206 citations

    3

    h-index

  4. HJ
    H. James Hoover

    University of Alberta, Canada

    3 publications · 347 citations

    3

    h-index

  5. SV
    Salil Vadhan

    Harvard University Press, United States

    2 publications · 160 citations

    2

    h-index

1–5 of 56

Venues

  1. SIAM Journal on Computing

    4 publications · 419 citations

    4

    h-index

  2. Theoretical Computer Science

    2 publications · 100 citations

    2

    h-index

  3. International Journal of Foundations of Computer Science

    IJFCS · 1 publications · 56 citations

    1

    h-index

  4. SIAM Journal on Discrete Mathematics

    1 publications · 306 citations

    1

    h-index

  5. Journal of Symbolic Logic

    1 publications · 11 citations

    1

    h-index

1–5