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Spatio-Temporal Retrieval with RasDaMan

Summary: RasDaMan is a domain-independent array DBMS with server-based optimization for spatio-temporal data. Demonstrates spatio-temporal retrieval via rView on 1D time series, 2D images, and 3D/4D voxels using real-life life-science, geoscience, climate data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8623
Venue
VLDB
Year
1999
Pagerank
6.5642684e-05
Overall Rank
3,983 | 72.30%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,076 RIOT: I/O-Efficient Numerical Computing without SQL 2009 CIDR 0.00014248449
4,839 ChronosDB: Distributed, File Based, Geospatial Array DBMS 2018 VLDB 5.8875955e-05
5,980 The Era of Big Spatial Data 2017 VLDB 5.2449608e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
860 The Multidimensional Database System RasDaMan 1998 SIGMOD 0.00015860465
1,498 A Language for Manipulating Arrays 1997 VLDB 0.0001168534
7,176 Geo/Environmental and Medical Data Management in the RasDaMan1 System 1997 VLDB 4.8100968e-05
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