External Memory Search Trees

External Memory Search Trees is a type of search tree data structure designed for efficiently managing and querying large datasets stored in external memory, distinguished by its optimization of block-based I/O operations to minimize the number of disk accesses during search, insertion, and deletion operations.

18

Publications

918

Citations

36

Authors

24

Institutions

Publications per year

2017–2026

1

Authors

36

  1. UM
    Ulrich Meyer

    Goethe University Frankfurt, Germany

    2 publications · 90 citations

    2

    h-index

  2. DA
    Deepak Ajwani

    University College Cork, Ireland

    2 publications · 90 citations

    2

    h-index

  3. JS
    Jeffrey Scott Vitter

    Duke University, United States

    2 publications · 256 citations

    2

    h-index

  4. PF
    Paolo Ferragina

    University of Pisa, Italy

    2 publications · 183 citations

    2

    h-index

  5. RD
    Roman Dementiev

    Karlsruhe Institute of Technology, Germany

    2 publications · 90 citations

    2

    h-index

1–5 of 36

Venues

  1. Algorithmica

    3 publications · 194 citations

    3

    h-index

  2. Discrete Applied Mathematics

    1 publications · 61 citations

    1

    h-index

  3. 1

    h-index

  4. Arrow@dit (Dublin Institute of Technology)

    Repository · 1 publications · 54 citations

    1

    h-index

  5. 1

    h-index

1–5