Hash Table Memory Efficiency

Hash Table Memory Efficiency is a metric that quantifies the ratio of occupied storage capacity to total allocated memory in a hash table, distinguishing itself by evaluating the effectiveness of space utilization in accommodating key-value pairs while minimizing overhead from collisions, unused buckets, or resizing operations.

28

Publications

2.9K

Citations

88

Authors

42

Institutions

Publications per year

2017–2026

7

Authors

88

  1. RF
    Roy Friedman

    Technion – Israel Institute of Technology, Israel

    2 publications · 30 citations

    2

    h-index

  2. RE
    Randal E. Bryant

    Carnegie Mellon University, United States

    2 publications · 1.5K citations

    2

    h-index

  3. RR
    Richard Rudell

    Synopsys (United States), United States

    2 publications · 1.5K citations

    2

    h-index

  4. GE
    Gil Einziger

    Technion – Israel Institute of Technology, Israel

    2 publications · 30 citations

    2

    h-index

  5. CZ
    Chenxingyu Zhao

    University of Washington, United States

    1 publications · 18 citations

    1

    h-index

1–5 of 88

Venues

  1. China Communications

    1 publications · 13 citations

    1

    h-index

  2. Journal of the ACM

    JACM · 1 publications · 52 citations

    1

    h-index

  3. Computer

    1 publications · 33 citations

    1

    h-index

  4. Information Processing Letters

    1 publications · 57 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 313 citations

    1

    h-index

1–5