Candidate Selection Modeling
Candidate Selection Modeling is a predictive analytics framework that systematically identifies and evaluates optimal job candidates by integrating data-driven algorithms with human resource criteria to distinguish viable applicants based on predefined performance indicators.
90
Publications
3.7K
Citations
288
Authors
144
Institutions
Publications per year
2017–2026
45
90
On the Predictability of Future Impact in Science
Scientific Reports · 2013 · 127 citations · Full text
Education, Physics, Forecasting +14
1–5 of 90
288
2
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United States Air Force Research Laboratory, United States
2 publications · 26 citations
2
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1
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1
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1
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1–5 of 288
144
Stanford University
Stanford, United States
3 h-index
4 publications
125 citations
Columbia University
New York, United States
3 h-index
4 publications
68 citations

Renmin University of China
Beijing, China
2 h-index
5 publications
263 citations

Universitat Pompeu Fabra
Barcelona, Spain
2 h-index
3 publications
37 citations
Iowa State University
Ames, United States
2 h-index
5 publications
242 citations
University of Science and Technology of China
Hefei, China
2 h-index
7 publications
522 citations
University of Colorado Boulder
Boulder, United States
1 h-index
3 publications
219 citations
University of South Carolina
Columbia, United States
1 h-index
2 publications
268 citations
1–8 of 144
3 publications · 199 citations
3
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Repository · 2 publications · 23 citations
2
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2 publications · 41 citations
2
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JOLE · 2 publications · 47 citations
2
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Repository · 2 publications · 29 citations
2
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1–5