Spatiotemporal Databases

Spatiotemporal Databases is a type of spatial database system that explicitly models and manages data with inherent temporal and spatial dimensions, distinguishing it by its ability to represent and query entities whose locations and extents evolve over time.

294

Publications

13.7K

Citations

729

Authors

306

Institutions

Publications per year

2017–2026

59

Variants

Spatio-temporal Databases

Authors

729

  1. CS
    Christian S. Jensen

    Aalborg University, Denmark

    14 publications · 1.6K citations

    12

    h-index

  2. DP
    Dimitris Papadias

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

    11 publications · 966 citations

    11

    h-index

  3. YT
    Yannis Theodoridis

    University of Piraeus, Greece

    11 publications · 1.1K citations

    11

    h-index

  4. YT
    Yufei Tao

    Chinese University of Hong Kong, Hong Kong SAR China

    9 publications · 903 citations

    9

    h-index

  5. MF
    Mohamed F. Mokbel

    University of Minnesota, United States

    8 publications · 419 citations

    8

    h-index

1–5 of 729

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 12 publications · 751 citations

    12

    h-index

  2. GeoInformatica

    11 publications · 388 citations

    10

    h-index

  3. 9

    h-index

  4. Transactions in GIS

    8 publications · 458 citations

    8

    h-index

  5. ACM SIGMOD Record

    6 publications · 213 citations

    6

    h-index

1–5