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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
8624
Venue
VLDB
Year
1999
Pagerank
6.5582955e-05
Overall Rank
3,985 | 72.31%
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
1,074 RIOT: I/O-Efficient Numerical Computing without SQL 2009 CIDR 0.00014238255
4,839 ChronosDB: Distributed, File Based, Geospatial Array DBMS 2018 VLDB 5.8821036e-05
5,985 The Era of Big Spatial Data 2017 VLDB 5.2399365e-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
856 The Multidimensional Database System RasDaMan 1998 SIGMOD 0.00015845377
1,496 A Language for Manipulating Arrays 1997 VLDB 0.00011673491
7,176 Geo/Environmental and Medical Data Management in the RasDaMan1 System 1997 VLDB 4.8054753e-05
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