Salience Estimation
Salience Estimation is a computational method in keyword extraction that identifies and ranks terms based on their prominence and relevance within a document relative to a broader corpus, distinguishing itself by quantifying term importance through statistical and contextual cues rather than frequency alone.
138
Publications
9.9K
Citations
385
Authors
182
Institutions
Publications per year
2017–2026
39
Parents
138
Do Fund Managers Misestimate Climatic Disaster Risk
Shashwat Alok, Nitin Kumar, Russ Wermers · Review of Financial Studies · 2019 · 375 citations
List Task and a Cognitive Salience Index
Urmas Sutrop · Field Methods · 2001 · 303 citations
1–5 of 138
385
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 385
182
Columbia University
New York, United States
5 h-index
9 publications
399 citations
University of Michigan
Ann Arbor, United States
4 h-index
6 publications
3.8K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
174 citations
Western Carolina University
Cullowhee, United States
3 h-index
6 publications
266 citations
University of Southern California
Los Angeles, United States
3 h-index
8 publications
126 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
5 publications
335 citations

University of British Columbia
Vancouver, Canada
3 h-index
4 publications
220 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
3 h-index
6 publications
480 citations
1–8 of 182
5 publications · 308 citations
5
h-index
5 publications · 302 citations
5
h-index
PRQ · 4 publications · 184 citations
4
h-index
Conference · 3 publications · 108 citations
3
h-index
Repository · 3 publications · 160 citations
3
h-index
1–5