Spatial Data Retrieval

Spatial Data Retrieval is the academic concept of a computational process that identifies and extracts spatially referenced data from a database according to specified geometric or topological query criteria, distinguishing it from non-spatial data retrieval by its inherent dependence on spatial relationships, structures, or constraints.

139

Publications

7.1K

Citations

353

Authors

153

Institutions

Publications per year

2017–2026

24

Authors

353

  1. NM
    Nikos Mamoulis

    University of Hong Kong, Hong Kong SAR China

    7 publications · 287 citations

    7

    h-index

  2. CS
    Christian S. Jensen

    Aalborg University, Denmark

    6 publications · 274 citations

    6

    h-index

  3. HS
    Hanan Samet

    University of Maryland, College Park, United States

    5 publications · 291 citations

    5

    h-index

  4. RS
    Ross S. Purves

    University of Zurich, Switzerland

    5 publications · 640 citations

    5

    h-index

  5. DW
    Dingming Wu

    Shenzhen University, China

    5 publications · 213 citations

    5

    h-index

1–5 of 353

Venues

  1. 10

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 7 publications · 704 citations

    7

    h-index

  3. GeoInformatica

    6 publications · 242 citations

    6

    h-index

  4. The VLDB Journal

    5 publications · 115 citations

    5

    h-index

  5. Very Large Data Bases

    Conference · 4 publications · 181 citations

    4

    h-index

1–5