Federated Query Systems
Federated Query Systems is a distributed data integration architecture that enables coordinated access to decentralized, heterogeneous health information sources by executing queries across multiple autonomous databases while preserving data locality and minimizing data movement.
74
Publications
3.3K
Citations
354
Authors
139
Institutions
Publications per year
2017–2026
16
Variants
Federated Query Architectures
74
Griffin M. Weber, Sue Murphy, Andrew McMurry et al. · Journal of the American Medical Informatics Association · 2009 · 309 citations · Full text
Jennie Duggan, Aaron J. Elmore, Michael Stonebraker et al. · ACM SIGMOD Record · 2015 · 257 citations
Adaptive Query Processing: Technology in Evolution.
Joseph M. Hellerstein, Michael J. Franklin, Sirish Chandrasekaran et al. · 2000 · 214 citations
Vanja Josifovski, Peter Schwarz, Laura M. Haas et al. · 2002 · 125 citations
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139

Ollscoil na Gaillimhe – University of Galway
Galway, Ireland
5 h-index
18 publications
738 citations
IBM (United States)
Armonk, United States
5 h-index
10 publications
774 citations
Harvard University
Cambridge, United States
5 h-index
11 publications
1.4K citations
IBM Research - Almaden
San Jose, United States
4 h-index
11 publications
401 citations
Leipzig University
Leipzig, Germany
4 h-index
7 publications
400 citations

Beth Israel Deaconess Medical Center
Boston, United States
4 h-index
7 publications
712 citations

Ontario Institute for Cancer Research
Toronto, Canada
3 h-index
12 publications
991 citations
Center for Systems Biology
Boston, United States
3 h-index
5 publications
966 citations
1–8 of 139
JAMIA · 4 publications · 398 citations
4
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PVLDB · 4 publications · 141 citations
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JBMS · 4 publications · 121 citations
4
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2 publications · 20 citations
2
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2 publications · 284 citations
2
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