External Memory Searching

External Memory Searching is a computational method designed to locate specific data elements within datasets that reside predominantly in external storage, distinguished by its optimization of input/output operations to minimize access latency when the data size exceeds main memory capacity.

59

Publications

2.1K

Citations

126

Authors

72

Institutions

Publications per year

2017–2026

8

Authors

126

  1. LA
    Lars Arge

    Aarhus University, Denmark

    7 publications · 323 citations

    7

    h-index

  2. JS
    Jeffrey Scott Vitter

    Duke University, United States

    6 publications · 433 citations

    6

    h-index

  3. YT
    Yufei Tao

    Chinese University of Hong Kong, Hong Kong SAR China

    5 publications · 123 citations

    5

    h-index

  4. CS
    Cheng Sheng

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 97 citations

    4

    h-index

  5. RZ
    Rong Zhou

    Mississippi State University, United States

    4 publications · 140 citations

    4

    h-index

1–5 of 126

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 29 citations

    2

    h-index

  2. BRICS Report Series

    2 publications · 68 citations

    2

    h-index

  3. ACM Transactions on Database Systems

    TODS · 2 publications · 50 citations

    2

    h-index

  4. IEEE Transactions on Consumer Electronics

    2 publications · 42 citations

    2

    h-index

  5. SIAM Journal on Computing

    1 publications · 16 citations

    1

    h-index

1–5