Spatiotemporal Query Processing

Spatiotemporal Query Processing is a computational method within geographic information science that enables the retrieval and analysis of georeferenced data based on both spatial location and temporal extent, distinguishing it from static spatial query processing by explicitly incorporating time as a fundamental dimension in the query evaluation process.

248

Publications

11.9K

Citations

647

Authors

244

Institutions

Publications per year

2017–2026

61

Variants

Spatiotemporal Query Evaluation

Authors

647

  1. MF
    Mohamed F. Mokbel

    University of Minnesota, United States

    13 publications · 1.3K citations

    12

    h-index

  2. CS
    Christian S. Jensen

    Aalborg University, Denmark

    12 publications · 1.5K citations

    12

    h-index

  3. WG
    Walid G. Aref

    Purdue University West Lafayette, United States

    11 publications · 1.2K citations

    10

    h-index

  4. DP
    Dimitris Papadias

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

    8 publications · 856 citations

    8

    h-index

  5. YT
    Yufei Tao

    Chinese University of Hong Kong, Hong Kong SAR China

    7 publications · 837 citations

    7

    h-index

1–5 of 647

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 13 publications · 766 citations

    12

    h-index

  2. GeoInformatica

    10 publications · 249 citations

    10

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 8 publications · 259 citations

    8

    h-index

  4. The VLDB Journal

    5 publications · 260 citations

    5

    h-index

  5. Transactions in GIS

    4 publications · 286 citations

    4

    h-index

1–5