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VoR-Tree: R-trees with Voronoi Diagrams for Efficient Processing of Spatial Nearest Neighbor Queries

Summary: VoR-Tree blends R-tree indexing with Voronoi diagrams to speed NN queries. Coarse R-tree nodes reach the search region in log time, while Voronoi cells tile it to prune candidates, yielding better I/O complexity than prior NN methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10058
Venue
VLDB
Year
2010
Pagerank
5.2690256e-05
Overall Rank
5,917 | 58.88%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
4,721 Nearest-Neighbor Searching Under Uncertainty 2012 PODS 5.9647585e-05
8,928 Processing Moving kNN Queries Using Influential Neighbor Sets 2015 VLDB 4.4229886e-05
9,309 Reverse k Nearest Neighbors Query Processing: Experiments and Analysis 2015 VLDB 4.3544778e-05
11,660 Top-k Queries over Digital Traces 2019 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank Cited Paper Year Venue Pagerank
2 R-Trees: A Dynamic Index Structure For Spatial Searching 1984 SIGMOD 0.0032118946
48 Nearest Neighbor Queries 1995 SIGMOD 0.0006954126
595 Influence Sets Based on Reverse Nearest Neighbor Queries 2000 SIGMOD 0.00019459302
597 Voronoi-Based K Nearest Neighbor Search for Spatial Network Databases 2004 VLDB 0.00019450818
1,924 Reverse kNN Search in Arbitrary Dimensionality 2004 VLDB 0.00010075677
2,139 A Generic Approach to Bulk Loading Multidimensional Index Structures 1997 VLDB 9.4618572e-05
2,457 The Spatial Skyline Queries 2006 VLDB 8.7618183e-05
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