Complexity Of Searching

Complexity of Searching is a theoretical construct in algorithmic complexity that characterizes the computational resources required by search algorithms to locate a target element within a data structure, distinguished by its dependence on input size and organization.

195

Publications

10.9K

Citations

360

Authors

208

Institutions

Publications per year

2017–2026

15

Authors

360

  1. AB
    Anatole Beck

    University of Wisconsin–Madison, United States

    4 publications · 459 citations

    4

    h-index

  2. AW
    Avi Wigderson

    Hebrew University of Jerusalem, Israel

    4 publications · 97 citations

    4

    h-index

  3. AA
    Arne Andersson

    Uppsala University, Sweden

    4 publications · 147 citations

    4

    h-index

  4. MT
    Mikkel Thorup

    AT&T (United States), United States

    3 publications · 163 citations

    3

    h-index

  5. DS
    David S. Johnson

    AT&T (United States), United States

    3 publications · 403 citations

    3

    h-index

1–5 of 360

Venues

  1. Information Processing Letters

    9 publications · 573 citations

    9

    h-index

  2. SIAM Journal on Computing

    6 publications · 469 citations

    6

    h-index

  3. Theoretical Computer Science

    6 publications · 175 citations

    6

    h-index

  4. Artificial Intelligence

    4 publications · 348 citations

    4

    h-index

  5. Discrete Applied Mathematics

    4 publications · 123 citations

    4

    h-index

1–5