Cross-database Query Processing
Cross-Database Query Processing is a data integration method that enables the execution and coordination of queries across multiple heterogeneous databases with differing schemas, systems, or locations, while transparently retrieving and integrating distributed data.
8
Publications
654
Citations
22
Authors
5
Institutions
Publications per year
2017–2026
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IBM Research - Almaden
San Jose, United States
2 h-index
6 publications
153 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
4 publications
208 citations
University of Southern California
Los Angeles, United States
1 h-index
4 publications
1.7K citations
Sungkyunkwan University
Seoul, South Korea
1 h-index
2 publications
102 citations
Marina Del Rey Hospital
Marina del Rey, United States
1 h-index
4 publications
1.7K citations
Technische Universität Berlin
Berlin, Germany
1 publications
11 citations

IT University of Copenhagen
Copenhagen, Denmark
1 publications
11 citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
1 publications
11 citations
1–8 of 5
IJCIS · 1 publications · 414 citations
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Repository · 1 publications · 16 citations
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1 publications · 18 citations
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1 publications · 51 citations
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1–4