The Spatial Skyline Queries
Summary: Spatial Skyline Queries (SSQ) define domination by distance-vectors to Q, so a point is non-dominated w.r.t. Q’s geometry. Uses Q’s convex hull to reach O(|S|^2|C|+|P|); presents B^2S^2, VS^2 for static Q, and VCS^2 for streaming Q, with 4–6× speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 262 | Efficient Progressive Skyline Computation | 2001 | VLDB | 0.00029987552 |
| 386 | Shooting Stars in the Sky: An Online Algorithm for Skyline Queries | 2002 | VLDB | 0.00024768022 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,142 | Approaching the Skyline in Z Order | 2007 | VLDB | 6.4138475e-05 |
| 1,403 | Efficient Processing of Top-k Spatial Preference Queries | 2011 | VLDB | 0.00012176993 |
| 9,164 | QSkycube: Efficient Skycube Computation Using Point-Based Space Partitioning | 2011 | VLDB | 4.3849295e-05 |
| 386 | Shooting Stars in the Sky: An Online Algorithm for Skyline Queries | 2002 | VLDB | 0.00024768022 |
| 914 | Finding k-Dominant Skylines in High Dimensional Space | 2006 | SIGMOD | 0.00015387584 |
| 5,695 | Scalable Skyline Computation Using Object-based Space Partitioning | 2009 | SIGMOD | 5.3681018e-05 |
| 262 | Efficient Progressive Skyline Computation | 2001 | VLDB | 0.00029987552 |
| 12,479 | On Dominating Your Neighborhood Profitably | 2007 | VLDB | 4.1945683e-05 |
| 749 | An Optimal and Progressive Algorithm for Skyline Queries | 2003 | SIGMOD | 0.00017228334 |
| 2,454 | Efficient Computation of Reverse Skyline Queries | 2007 | VLDB | 8.778281e-05 |