Location-based Query Processing

Location-Based Query Processing is a distributed geospatial database method that enables the efficient evaluation of spatial queries by leveraging the geographic positions of data and users to optimize query execution through location-aware indexing, filtering, and resource allocation.

435

Publications

20.8K

Citations

1K

Authors

309

Institutions

Publications per year

2017–2026

72

Authors

1K

  1. CS
    Christian S. Jensen

    Aalborg University, Denmark

    31 publications · 2.2K citations

    23

    h-index

  2. JX
    Jianliang Xu

    Hong Kong Baptist University, Hong Kong SAR China

    22 publications · 1.2K citations

    18

    h-index

  3. GC
    Gao Cong

    Nanyang Technological University, Singapore

    14 publications · 1.1K citations

    13

    h-index

  4. BZ
    Baihua Zheng

    Singapore Management University, Singapore

    15 publications · 605 citations

    13

    h-index

  5. WL
    Wang-Chien Lee

    Pennsylvania State University, United States

    14 publications · 513 citations

    12

    h-index

1–5 of 1K

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 36 publications · 2.2K citations

    24

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 22 publications · 1K citations

    17

    h-index

  3. IEEE Internet of Things Journal

    7 publications · 232 citations

    7

    h-index

  4. IEEE Access

    6 publications · 130 citations

    6

    h-index

  5. ACM Transactions on Database Systems

    TODS · 5 publications · 352 citations

    5

    h-index

1–5