External Memory Traversal Algorithms

External Memory Traversal Algorithms is a class of algorithms designed to efficiently process and navigate data structures stored in external memory, distinguished by their optimization of input/output operations during traversal to minimize access costs when data exceeds internal memory capacity.

20

Publications

1.3K

Citations

36

Authors

23

Institutions

Publications per year

2017–2026

0

Authors

36

  1. LA
    Lars Arge

    Aarhus University, Denmark

    4 publications · 265 citations

    4

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  2. JS
    Jeffrey Scott Vitter

    Duke University, United States

    3 publications · 206 citations

    3

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  3. RD
    Roman Dementiev

    Karlsruhe Institute of Technology, Germany

    2 publications · 90 citations

    2

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  4. DA
    Deepak Ajwani

    University College Cork, Ireland

    2 publications · 90 citations

    2

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  5. UM
    Ulrich Meyer

    Goethe University Frankfurt, Germany

    2 publications · 90 citations

    2

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1–5 of 36

Venues

  1. Algorithmica

    3 publications · 284 citations

    3

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  2. BRICS Report Series

    2 publications · 55 citations

    2

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  3. 1

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  4. The Scientific World JOURNAL

    TSWJ · 1 publications · 11 citations

    1

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  5. Software Practice and Experience

    1 publications · 11 citations

    1

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1–5