Spatial Querying

Spatial Querying is a visual querying method that enables the retrieval or analysis of data based on geometric or topological relationships within a spatial representation, distinguishing itself from non-spatial approaches by explicitly leveraging positional, directional, or configurational constraints in the query process.

192

Publications

11.8K

Citations

410

Authors

186

Institutions

Publications per year

2017–2026

19

Authors

410

  1. MJ
    Max J. Egenhofer

    University of Maine, United States

    13 publications · 1.5K citations

    13

    h-index

  2. DP
    Dimitris Papadias

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

    8 publications · 733 citations

    8

    h-index

  3. HS
    Hanan Samet

    University of Maryland, College Park, United States

    7 publications · 309 citations

    7

    h-index

  4. CS
    Christian S. Jensen

    Aalborg University, Denmark

    7 publications · 1.9K citations

    7

    h-index

  5. YT
    Yannis Theodoridis

    University of Piraeus, Greece

    6 publications · 516 citations

    6

    h-index

1–5 of 410

Venues

  1. ACM SIGMOD Record

    10 publications · 1.7K citations

    10

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 9 publications · 635 citations

    9

    h-index

  3. 7

    h-index

  4. Information Systems

    4 publications · 121 citations

    4

    h-index

  5. GeoInformatica

    4 publications · 62 citations

    4

    h-index

1–5