Hash-based Search

Hash-Based Search is a searching algorithm that uses a hash function to map keys to indices in a data structure, enabling efficient retrieval by directly computing the storage location of an element based on its unique key.

269

Publications

22.5K

Citations

747

Authors

294

Institutions

Publications per year

2017–2026

73

Authors

747

  1. AS
    Anshumali Shrivastava

    Rice University, United States

    9 publications · 743 citations

    9

    h-index

  2. PL
    Ping Li

    Zhejiang University, China

    6 publications · 482 citations

    6

    h-index

  3. JX
    Jizheng Xu

    Microsoft Research Asia (China), China

    6 publications · 131 citations

    6

    h-index

  4. SC
    Shih‐Fu Chang

    Columbia University, United States

    5 publications · 296 citations

    5

    h-index

  5. FO
    Frank Olken

    Lawrence Berkeley National Laboratory, United States

    5 publications · 1K citations

    5

    h-index

1–5 of 747

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 614 citations

    10

    h-index

  2. Communications of the ACM

    8 publications · 2K citations

    8

    h-index

  3. IEEE Transactions on Multimedia

    6 publications · 339 citations

    6

    h-index

  4. Multimedia Tools and Applications

    5 publications · 82 citations

    5

    h-index

  5. Neurocomputing

    5 publications · 96 citations

    5

    h-index

1–5