Randomized Algorithms For Hashing

Randomized Algorithms for Hashing is a computational method that belongs to the class of randomized algorithms and specifically employs randomness in the design or execution of hash functions to achieve probabilistic guarantees on performance, collision resistance, or distributional uniformity in data organization and retrieval.

52

Publications

3.3K

Citations

100

Authors

71

Institutions

Publications per year

2017–2026

5

Authors

100

  1. MT
    Mikkel Thorup

    AT&T (United States), United States

    6 publications · 260 citations

    6

    h-index

  2. MP
    Mihai Pǎtraşcu

    AT&T (United States), United States

    3 publications · 163 citations

    3

    h-index

  3. MD
    Martin Dietzfelbinger

    Technische Universität Ilmenau, Germany

    3 publications · 131 citations

    3

    h-index

  4. DR
    Douglas R. Stinson

    University of Waterloo, Canada

    3 publications · 132 citations

    3

    h-index

  5. RP
    Rasmus Pagh

    IT University of Copenhagen, Denmark

    3 publications · 93 citations

    3

    h-index

1–5 of 100

Venues

  1. Designs Codes and Cryptography

    2 publications · 79 citations

    2

    h-index

  2. Journal of the ACM

    JACM · 2 publications · 298 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 89 citations

    2

    h-index

  4. SIAM Journal on Computing

    2 publications · 44 citations

    2

    h-index

  5. IACR Cryptology ePrint Archive

    Repository · 1 publications · 13 citations

    1

    h-index

1–5