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Adaptive Indexing of Objects with Spatial Extent

Summary: Presents AIR-tree — the first adaptive index for non-point spatial objects that incrementally builds an in-memory R-tree over a static array using online node-creation/split heuristics. Outperforms point-focused adaptive indexing and static R-tree in cumulative time on early workloads. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13263
Venue
VLDB
Year
2023
Pagerank
5.2006273e-05
Overall Rank
9,887 | 32.17%
DOI
10.14778/3598581.3598596

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zardbani_vldb23,
        title = {{Adaptive Indexing of Objects with Spatial Extent}},
        author = {Zardbani, Fatemeh and Mamoulis, Nikos and Idreos, Stratos and Karras, Panagiotis},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {9},
        pages = {2248--2260},
        doi = {10.14778/3598581.3598596},
        url = {https://doi.org/10.14778/3598581.3598596},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,898 Cracking Vector Search Indexes 2025 VLDB 5.3495662e-05
9,334 Adaptive Indexing in High-Dimensional Metric Spaces 2023 VLDB 5.2884486e-05
10,984 Benchmarking Adaptive Multidimensional Indices 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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