Federated Search
Federated Search is an information retrieval system that enables a user to simultaneously query multiple heterogeneous data sources through a single interface, distinguished by its real-time integration of results without requiring centralized indexing.
163
Publications
5.6K
Citations
427
Authors
208
Institutions
Publications per year
2017–2026
30
Variants
Federated Information Retrieval
Parents
163
Griffin M. Weber, Sue Murphy, Andrew McMurry et al. · Journal of the American Medical Informatics Association · 2009 · 309 citations · Full text
Milad Shokouhi, Luo Si · Foundations and Trends® in Information Retrieval · 2011 · 158 citations
Retrieval and feedback models for blog feed search
Jonathan L. Elsas, Jaime Arguello, Jamie Callan et al. · 2008 · 140 citations
A revenue sharing mechanism for federated search and advertising
Marco Brambilla, Sofia Ceppi, Nicola Gatti et al. · 2012 · 99 citations
1–5 of 163
427
10
h-index
9
h-index
6
h-index
4
h-index
3
h-index
1–5 of 427
208
Carnegie Mellon University
Pittsburgh, United States
11 h-index
23 publications
1.3K citations
Purdue University West Lafayette
West Lafayette, United States
7 h-index
17 publications
487 citations
Microsoft (United States)
Redmond, United States
5 h-index
17 publications
600 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
4 h-index
6 publications
277 citations

The University of Queensland
Brisbane, Australia
3 h-index
6 publications
153 citations

University of Glasgow
Glasgow, United Kingdom
3 h-index
3 publications
57 citations
RMIT University
Melbourne, Australia
3 h-index
5 publications
180 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
3 h-index
4 publications
110 citations
1–8 of 208
Repository · 7 publications · 611 citations
7
h-index
IRSQ · 6 publications · 107 citations
6
h-index
5 publications · 168 citations
5
h-index
4 publications · 82 citations
4
h-index
JWL · 3 publications · 98 citations
3
h-index
1–5