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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
10057
Venue
VLDB
Year
2010
Pagerank
5.2739511e-05
Overall Rank
5,917 | 58.84%
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
4,724 Nearest-Neighbor Searching Under Uncertainty 2012 PODS 5.9697823e-05
8,925 Processing Moving kNN Queries Using Influential Neighbor Sets 2015 VLDB 4.427232e-05
9,309 Reverse k Nearest Neighbors Query Processing: Experiments and Analysis 2015 VLDB 4.3571035e-05
11,655 Top-k Queries over Digital Traces 2019 SIGMOD 4.1945683e-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 0.0032169493
47 Nearest Neighbor Queries 1995 SIGMOD 0.0007015885
598 Voronoi-Based K Nearest Neighbor Search for Spatial Network Databases 2004 VLDB 0.00019474545
601 Influence Sets Based on Reverse Nearest Neighbor Queries 2000 SIGMOD 0.00019375875
1,933 Reverse kNN Search in Arbitrary Dimensionality 2004 VLDB 0.00010038508
2,136 A Generic Approach to Bulk Loading Multidimensional Index Structures 1997 VLDB 9.4721139e-05
2,457 The Spatial Skyline Queries 2006 VLDB 8.769229e-05
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