Spatial Data Structures

Spatial Data Structures is a data organization method that belongs to the class of data structures and is distinguished by its explicit encoding of spatial relationships and geometric properties to support efficient storage, retrieval, and manipulation of spatial data.

991

Publications

81K

Citations

1.9K

Authors

623

Institutions

Publications per year

2017–2026

121

Authors

1.9K

  1. HS
    Hanan Samet

    University of Maryland, College Park, United States

    28 publications · 3K citations

    22

    h-index

  2. DP
    Dimitris Papadias

    Hong Kong University of Science and Technology, Hong Kong SAR China

    19 publications · 1.5K citations

    17

    h-index

  3. YT
    Yannis Theodoridis

    University of Piraeus, Greece

    19 publications · 2.3K citations

    16

    h-index

  4. CS
    Christian S. Jensen

    Aalborg University, Denmark

    15 publications · 2.5K citations

    14

    h-index

  5. NM
    Nikos Mamoulis

    University of Hong Kong, Hong Kong SAR China

    14 publications · 698 citations

    14

    h-index

1–5 of 1.9K

Venues

  1. 25

    h-index

  2. ACM SIGMOD Record

    26 publications · 6.1K citations

    23

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 33 publications · 2K citations

    23

    h-index

  4. Computers & Geosciences

    CAGEO · 25 publications · 3.2K citations

    20

    h-index

  5. The VLDB Journal

    17 publications · 1.8K citations

    15

    h-index

1–5