Dropout Risk Detection
Dropout Risk Detection is a predictive analytics methodology that identifies students at risk of leaving educational institutions before degree completion by analyzing behavioral, academic, and demographic indicators within educational data.
718
Publications
50.4K
Citations
1.9K
Authors
739
Institutions
Publications per year
2017–2026
287
Parents
718
The Silent Epidemic Perspectives of High School Dropouts
Peter D. Hart, John M. Bridgeland, John J. DiIulio et al. · 2006 · 778 citations
1–5 of 718
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739
Columbia University
New York, United States
8 h-index
11 publications
9.3K citations
Maastricht University
Maastricht, The Netherlands
7 h-index
19 publications
596 citations
University of Pennsylvania
Philadelphia, United States
7 h-index
13 publications
633 citations

Johns Hopkins University
Baltimore, United States
7 h-index
13 publications
638 citations
The University of Texas at Austin
Austin, United States
7 h-index
11 publications
335 citations
Stanford University
Stanford, United States
5 h-index
10 publications
487 citations

Shaanxi Normal University
Xi'an, China
5 h-index
11 publications
996 citations
KU Leuven
Leuven, Belgium
5 h-index
13 publications
450 citations
1–8 of 739
13 publications · 896 citations
13
h-index
8 publications · 330 citations
8
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IJED · 8 publications · 338 citations
8
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8 publications · 599 citations
8
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7 publications · 492 citations
7
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1–5