Parallel Spatial Databases

Parallel Spatial Databases is a computational framework that extends spatial database systems by enabling the distributed processing of spatial data across multiple processors or nodes to enhance performance and scalability in handling large-scale spatial queries and analyses.

32

Publications

1.1K

Citations

89

Authors

52

Institutions

Publications per year

2017–2026

7

Authors

89

  1. JF
    Jeffrey F. Naughton

    University of Wisconsin–Madison, United States

    3 publications · 178 citations

    3

    h-index

  2. JM
    Jignesh M. Patel

    University of Wisconsin–Madison, United States

    3 publications · 168 citations

    3

    h-index

  3. CJ
    Curt J. Ellmann

    University of Wisconsin–Madison, United States

    3 publications · 178 citations

    3

    h-index

  4. SR
    Suprio Ray

    University of New Brunswick, Canada

    3 publications · 82 citations

    3

    h-index

  5. AE
    Ahmed Eldawy

    University of Minnesota, United States

    2 publications · 59 citations

    2

    h-index

1–5 of 89

Venues

  1. ISPRS International Journal of Geo-Information

    IJGI · 2 publications · 45 citations

    2

    h-index

  2. Journal of Systems and Software

    JSS · 1 publications · 22 citations

    1

    h-index

  3. The VLDB Journal

    1 publications · 134 citations

    1

    h-index

  4. Journal of information processing

    1 publications · 14 citations

    1

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 15 citations

    1

    h-index

1–5