Scalable Spatial Indexing

Scalable Spatial Indexing is a spatial indexing method designed to maintain efficient query performance and storage utilization as the volume of spatial data increases significantly, distinguishing it from conventional spatial indexing techniques by its ability to adapt and perform optimally in large-scale or distributed environments.

86

Publications

4.6K

Citations

299

Authors

123

Institutions

Publications per year

2017–2026

24

Authors

299

  1. WG
    Walid G. Aref

    Purdue University West Lafayette, United States

    4 publications · 379 citations

    4

    h-index

  2. RG
    Raghu Ganti

    University of Illinois Urbana-Champaign, United States

    3 publications · 92 citations

    3

    h-index

  3. MF
    Mohamed F. Mokbel

    University of Minnesota, United States

    3 publications · 354 citations

    3

    h-index

  4. MS
    Mudhakar Srivatsa

    IBM (United States), United States

    3 publications · 92 citations

    3

    h-index

  5. JZ
    Jianting Zhang

    City College of New York, United States

    2 publications · 31 citations

    2

    h-index

1–5 of 299

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 195 citations

    4

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 200 citations

    4

    h-index

  3. Computers & Geosciences

    CAGEO · 2 publications · 30 citations

    2

    h-index

  4. 2

    h-index

  5. SIGSPATIAL Special

    1 publications · 20 citations

    1

    h-index

1–5