Dimensional Testing for Reverse k-Nearest Neighbor Search
Summary: Dimensional testing uses intrinsic dimensionality to guide pruning and termination in approximate reverse k-nearest neighbor search. Compatible with any incremental NN index; reduces preprocessing while improving time/accuracy tradeoffs versus prior approaches. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Guillaume Casanova
- 2. Elias Englmeier
- 3. Michael E. Houle
- 4. Peer Kröger
- 5. Michael Nett
- 6. Erich Schubert
- 7. Arthur Zimek
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,654 | LiteHST: A Tree Embedding based Method for Similarity Search | 2023 | SIGMOD | 4.6831082e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 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 |
| 34 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB | 0.00076824554 |
| 78 | A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces | 1998 | VLDB | 0.00056385781 |
| 91 | M-tree: An Efficient Access Method for Similarity Search in Metric Spaces | 1997 | VLDB | 0.00051785122 |
| 595 | Influence Sets Based on Reverse Nearest Neighbor Queries | 2000 | SIGMOD | 0.00019459302 |
| 1,924 | Reverse kNN Search in Arbitrary Dimensionality | 2004 | VLDB | 0.00010075677 |
| 2,696 | On Computing Top-t Most Influential Spatial Sites | 2005 | VLDB | 8.279376e-05 |
| 4,035 | Efficient Reverse k-Nearest Neighbor Search in Arbitrary Metric Spaces | 2006 | SIGMOD | 6.5111577e-05 |
| 5,755 | A Framework for Clustering Uncertain Data | 2015 | VLDB | 5.3390219e-05 |
| 5,922 | FINCH: Evaluating Reverse k-Nearest-Neighbor Queries on Location Data | 2008 | VLDB | 5.2678889e-05 |
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