Admissions Predictive Analytics
Admissions Predictive Analytics is a methodological framework within higher education data science that distinguishes itself by employing statistical modeling and machine learning techniques to analyze applicant-level data for the purpose of forecasting enrollment outcomes and institutional fit within the context of admissions decision-making.
87
Publications
3.5K
Citations
235
Authors
98
Institutions
Publications per year
2017–2026
42
Parents
87
1–5 of 87
235
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h-index
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98
The University of Texas at Austin
Austin, United States
3 h-index
5 publications
251 citations

King Abdulaziz University
Jeddah, Saudi Arabia
2 h-index
6 publications
210 citations
Amirkabir University of Technology
Tehran, Iran
2 h-index
6 publications
580 citations

University of Colorado System
Boulder, United States
2 h-index
4 publications
100 citations
Duta Wacana Christian University
Yogyakarta, Indonesia
2 h-index
6 publications
75 citations
University of Patras
Pátrai, Greece
2 h-index
1 publications
32 citations

University of Colorado Denver
Denver, United States
2 h-index
3 publications
86 citations
University of Colorado Boulder
Boulder, United States
2 h-index
6 publications
146 citations
1–8 of 98
Repository · 2 publications · 44 citations
2
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2 publications · 137 citations
2
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2 publications · 28 citations
2
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2 publications · 32 citations
2
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1 publications · 46 citations
1
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1–5