Database Paper Browser

Back to papers

EAR-Oracle: On Efficient Indexing for Distance Queries between Arbitrary Points on Terrain Surface

Summary: EAR-Oracle: an index-based distance oracle for arbitrary point-to-point terrain queries, eliminating the need for predefined POIs. It provides guarantees on accuracy, build-time/size, and query-time; scales to massive terrains and delivers orders-of-magnitude faster query performance than prior online methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6517
Venue
SIGMOD
Year
2023
Pagerank
4.1945683e-05
Overall Rank
11,174 | 22.27%
DOI
10.1145/3588694

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,016 Efficient Proximity Queries on Simplified Height Maps 2026 SIGMOD 4.1945683e-05
10,938 Proximity Queries on Point Clouds using Rapid Construction Path Oracle 2024 SIGMOD 4.1945683e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,513 Continuous Monitoring of Nearest Neighbors on Land Surface 2009 VLDB 0.00011593275
1,514 Indexing Land Surface for Efficient kNN Query 2008 VLDB 0.00011593275
11,789 Distance Oracle on Terrain Surface 2017 SIGMOD 4.1945683e-05
11,878 New Lower and Upper Bounds for Shortest Distance Queries on Terrains 2016 VLDB 4.1945683e-05
12,017 Finding Shortest Paths on Terrains by Killing Two Birds with One Stone 2014 VLDB 4.1945683e-05
12,172 Finding Shortest Path on Land Surface 2011 SIGMOD 4.1945683e-05
Previous Page 1 / 1 Next

Semantically Similar Papers