Data Distribution

Data Distribution is a data partitioning strategy that specifies how subsets of data are allocated across computational nodes or storage units according to a particular schema or policy to enable efficient processing, retrieval, or analysis.

3K

Publications

222.9K

Citations

9.1K

Authors

2K

Institutions

Publications per year

2017–2026

1.7K

Authors

9.1K

  1. JL
    Jie Lü

    University of Technology Sydney, Australia

    10 publications · 457 citations

    11

    h-index

  2. BA
    Basem Almadani

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    8 publications · 232 citations

    10

    h-index

  3. GZ
    Guangquan Zhang

    University of Technology Sydney, Australia

    9 publications · 403 citations

    10

    h-index

  4. GT
    Gary Tan

    National University of Singapore, Singapore

    9 publications · 355 citations

    9

    h-index

  5. SE
    Stefano Ermon

    Stanford University, United States

    9 publications · 2.8K citations

    9

    h-index

1–5 of 9.1K

Venues

  1. arXiv (Cornell University)

    Repository · 332 publications · 22K citations

    65

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 46 publications · 26.1K citations

    30

    h-index

  3. IEEE Access

    47 publications · 2K citations

    25

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 34 publications · 2.4K citations

    25

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 45 publications · 3.2K citations

    24

    h-index

1–5