Prison Population Forecasting
Prison Population Forecasting is a predictive modeling methodology within criminal justice analytics that estimates future incarceration levels by analyzing historical trends, legislative changes, and demographic factors specific to offender populations.
27
Publications
1.3K
Citations
49
Authors
20
Institutions
Publications per year
2017–2026
4
Parents
27
1–5 of 27
49
3
h-index
3
h-index
2
h-index
Commonwealth Scientific and Industrial Research Organisation, Australia
2 publications · 92 citations
2
h-index
1
h-index
1–5 of 49
20
William & Mary
Williamsburg, United States
3 h-index
3 publications
425 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
304 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
1 publications
21 citations
Michigan State University
East Lansing, United States
1 h-index
1 publications
44 citations
Psychiatric Rehabilitation Association
McLean, United States
1 h-index
1 publications
16 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
1 publications
55 citations

University of Central Florida
Orlando, United States
1 h-index
1 publications
44 citations
South Carolina Department of Corrections
Columbia, United States
1 h-index
1 publications
21 citations
1–8 of 20
3 publications · 134 citations
3
h-index
2 publications · 323 citations
2
h-index
1 publications · 16 citations
1
h-index
CJ · 1 publications · 26 citations
1
h-index
CRO · 1 publications · 136 citations
1
h-index
1–5