Talent Forecasting
Talent Forecasting is a predictive methodology within the field of talent identification that systematically projects future individual or organizational performance potential based on historical, behavioral, cognitive, and contextual indicators, distinguishing itself through its forward-looking analytics and data-driven modeling techniques.
46
Publications
2.3K
Citations
119
Authors
66
Institutions
Publications per year
2017–2026
26
Parents
46
Competing on talent analytics.
Thomas H. Davenport, Jeanne G. Harris, Jeremy F. Shapiro · PubMed · 2010 · 300 citations
Management, Human Resource Management, Organizational Behavior +17
TrueSkill Through Time: Revisiting the History of Chess
Pierre Dangauthier, Ralf Herbrich, Tom Minka et al. · 2007 · 99 citations
Natural Sciences, Economics, History +17
1–5 of 46
119
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3
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66
Baidu (China)
Beijing, China
9 h-index
17 publications
465 citations
University of Science and Technology of China
Hefei, China
6 h-index
12 publications
351 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
6 h-index
7 publications
239 citations
University of Bayreuth
Bayreuth, Germany
1 h-index
2 publications
54 citations
Shanghai Artificial Intelligence Laboratory
Shanghai, China
1 h-index
1 publications
20 citations
Auckland University of Technology
Auckland, New Zealand
1 h-index
1 publications
28 citations

Oklahoma State University
Stillwater, United States
1 h-index
2 publications
22 citations
University of Arizona
Tucson, United States
1 h-index
1 publications
67 citations
1–8 of 66
2 publications · 46 citations
2
h-index
2 publications · 75 citations
2
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Repository · 2 publications · 29 citations
2
h-index
Repository · 2 publications · 63 citations
2
h-index
1 publications · 22 citations
1
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1–5