External Memory Graph Data Structures

External Memory Graph Data Structures is a class of data organization methods designed to represent and manage graph-based data in external storage systems, distinguished by their optimization for efficient input/output operations in environments where the graph size exceeds main memory capacity.

24

Publications

1.7K

Citations

59

Authors

31

Institutions

Publications per year

2017–2026

8

Authors

59

  1. UM
    Ulrich Meyer

    Goethe University Frankfurt, Germany

    4 publications · 125 citations

    4

    h-index

  2. RD
    Roman Dementiev

    Karlsruhe Institute of Technology, Germany

    2 publications · 90 citations

    2

    h-index

  3. DX
    Di Xiao

    Texas A&M University, United States

    2 publications · 24 citations

    2

    h-index

  4. LZ
    Linhong Zhu

    University of Southern California, United States

    2 publications · 258 citations

    2

    h-index

  5. YC
    Yi Cui

    Tianjin University, China

    2 publications · 24 citations

    2

    h-index

1–5 of 59

Venues

  1. ACM Transactions on Database Systems

    TODS · 1 publications · 155 citations

    1

    h-index

  2. Algorithmica

    1 publications · 108 citations

    1

    h-index

  3. Journal of Algorithms

    1 publications · 34 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 11 citations

    1

    h-index

  5. ACM Transactions on Parallel Computing

    TOPC · 1 publications · 67 citations

    1

    h-index

1–5