Scorecard Development
Scorecard Development is the systematic process of designing and validating a statistical or machine learning model, within the domain of credit risk assessment, that quantitatively translates applicant or behavioral data into a credit score through weighted attribute scoring, distinct from general predictive modeling by its interpretability, regulatory compliance focus, and direct applicability to lending decisions.
310
Publications
16.5K
Citations
841
Authors
500
Institutions
Publications per year
2017–2026
76
Parents
310
1–5 of 310
841
5
h-index
5
h-index
5
h-index
University of North Carolina at Chapel Hill, United States
5 publications · 366 citations
5
h-index
4
h-index
1–5 of 841
500

Imperial College London
London, United Kingdom
7 h-index
10 publications
387 citations
Texas A&M University
College Station, United States
7 h-index
27 publications
1.5K citations

University of York
York, United Kingdom
5 h-index
5 publications
124 citations
University of Sussex
Brighton, United Kingdom
4 h-index
6 publications
254 citations

Johns Hopkins University
Baltimore, United States
4 h-index
8 publications
126 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
5 publications
438 citations
Halliburton (United Kingdom)
Arbroath, United Kingdom
4 h-index
4 publications
50 citations
BP (United Kingdom)
London, United Kingdom
4 h-index
4 publications
50 citations
1–8 of 500
OR · 8 publications · 242 citations
8
h-index
7 publications · 401 citations
7
h-index
5 publications · 143 citations
5
h-index
Repository · 4 publications · 173 citations
4
h-index
4 publications · 288 citations
4
h-index
1–5