Expertise Mining
Expertise Mining is an academic method that identifies and extracts individual or collective knowledge, skills, and competencies from diverse data sources to map and locate specialized human expertise within a given domain.
80
Publications
3.7K
Citations
242
Authors
99
Institutions
Publications per year
2017–2026
12
Parents
80
Expertise identification using email communications
Christopher S. Campbell, Paul P. Maglio, Alex Cozzi et al. · 2003 · 327 citations
Audris Mockus, James D. Herbsleb · 2002 · 199 citations
Building reputation in StackOverflow: An empirical investigation
Amiangshu Bosu, Christopher S. Corley, Dustin Heaton et al. · 2013 · 133 citations
1–5 of 80
242
3
h-index
Capital University of Science and Technology, Pakistan
2 publications · 31 citations
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 242
99
Mitre (United States)
Bedford, United States
4 h-index
4 publications
138 citations
IBM (United States)
Armonk, United States
3 h-index
14 publications
1.9K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
3 h-index
9 publications
272 citations
Mohammad Ali Jinnah University
Karachi, Pakistan
3 h-index
5 publications
63 citations
Tsinghua University
Beijing, China
3 h-index
15 publications
344 citations

University of British Columbia
Vancouver, Canada
2 h-index
4 publications
410 citations
Avaya (United States)
Santa Clara, United States
2 h-index
2 publications
584 citations
Laboratoire Bordelais de Recherche en Informatique
Talence, France
2 h-index
9 publications
137 citations
1–8 of 99
Repository · 2 publications · 37 citations
2
h-index
2 publications · 63 citations
2
h-index
2 publications · 289 citations
2
h-index
2 publications · 92 citations
2
h-index
1 publications · 29 citations
1
h-index
1–5