Career Progression Analytics
Career Progression Analytics is a methodological framework within Employee Lifecycle Analytics that systematically analyzes longitudinal employee data to model, measure, and predict individual and cohort-level advancements in job roles, responsibilities, and compensation over time.
28
Publications
1.6K
Citations
97
Authors
58
Institutions
Publications per year
2017–2026
13
Parents
28
Fortune Teller: Predicting Your Career Path
Ye Liu, Luming Zhang, Liqiang Nie et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2016 · 255 citations · Full text
Computing, Data Science, Data Mining +16
1–5 of 28
97
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58
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
5 publications
215 citations

University of Manchester
Manchester, United Kingdom
2 h-index
3 publications
58 citations

The University of Western Australia
Perth, Australia
2 h-index
2 publications
63 citations
Université Paris Cité
Paris, France
1 h-index
1 publications
35 citations

University of North Texas
Denton, United States
1 h-index
2 publications
132 citations
UCB Pharma (France)
Colombes, France
1 h-index
2 publications
70 citations
Kennesaw State University
Kennesaw, United States
1 h-index
4 publications
72 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
1 publications
16 citations
1–8 of 58
2 publications · 54 citations
2
h-index
2 publications · 276 citations
2
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1 publications · 32 citations
1
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1 publications · 44 citations
1
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1 publications · 75 citations
1
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1–5