Document Selection
Document Selection is an academic concept referring to the process of identifying and prioritizing relevant documents across distributed information sources in federated search environments, distinguished by its focus on optimizing retrieval effectiveness through source selection and query routing strategies rather than centralized indexing.
115
Publications
5.4K
Citations
274
Authors
134
Institutions
Publications per year
2017–2026
24
Parents
115
Can we use Google Scholar to identify highly-cited documents?
Alberto Martín‐Martín, Enrique Orduña‐Malea, Anne‐Wil Harzing et al. · Journal of Informetrics · 2016 · 180 citations · Full text
1–5 of 115
274
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Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France
3 publications · 50 citations
3
h-index
3
h-index
1–5 of 274
134
University of Maryland, College Park
College Park, United States
10 h-index
15 publications
722 citations

Renmin University of China
Beijing, China
7 h-index
20 publications
605 citations
University of Tennessee at Knoxville
Knoxville, United States
4 h-index
4 publications
504 citations
Université de Montréal
Montreal, Canada
4 h-index
4 publications
111 citations
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Orsay, France
3 h-index
17 publications
290 citations
Beijing Institute of Big Data Research
Beijing, China
3 h-index
3 publications
82 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
3 h-index
7 publications
180 citations
Wayne State University
Detroit, United States
3 h-index
3 publications
76 citations
1–8 of 134
JASIS · 5 publications · 537 citations
5
h-index
4 publications · 132 citations
4
h-index
3 publications · 67 citations
3
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2 publications · 28 citations
2
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TKDE · 2 publications · 60 citations
2
h-index
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