Integer Data Structures

Integer Data Structures is a data organization framework in computer science that specializes in the efficient representation and manipulation of integer-valued data, distinguished from general-purpose data structures by its optimization for integer-specific operations such as bitwise manipulation, numerical ordering, and compact encoding.

55

Publications

2.9K

Citations

128

Authors

71

Institutions

Publications per year

2017–2026

10

Authors

128

  1. SM
    S. Magill

    Argonne National Laboratory, United States

    2 publications · 91 citations

    2

    h-index

  2. MT
    Ming-Hsien Tsai

    National Taiwan University, Taiwan

    2 publications · 91 citations

    2

    h-index

  3. YT
    Yih-Kuen Tsay

    National Taiwan University, Taiwan

    2 publications · 91 citations

    2

    h-index

  4. GJ
    G.A. Jullien

    University of Windsor, Canada

    2 publications · 24 citations

    2

    h-index

  5. PL
    Peter Lee

    Imperial College London, United Kingdom

    2 publications · 91 citations

    2

    h-index

1–5 of 128

Venues

  1. The Computer Journal

    2 publications · 48 citations

    2

    h-index

  2. IEEE Transactions on Computers

    2 publications · 57 citations

    2

    h-index

  3. The Journal of Supercomputing

    1 publications · 21 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of the ACM

    JACM · 1 publications · 560 citations

    1

    h-index

1–5