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

Authors

841

  1. ST
    Stephen Town

    University of York, United Kingdom

    5 publications · 124 citations

    5

    h-index

  2. DJ
    David J. Hand

    Imperial College London, United Kingdom

    5 publications · 227 citations

    5

    h-index

  3. MM
    Matthew Malecha

    Texas A&M University, United States

    5 publications · 224 citations

    5

    h-index

  4. PB
    Philip Berke

    University of North Carolina at Chapel Hill, United States

    5 publications · 366 citations

    5

    h-index

  5. LM
    Louise Morley

    University of Sussex, United Kingdom

    4 publications · 173 citations

    4

    h-index

1–5 of 841

Venues

  1. Journal of the Operational Research Society

    OR · 8 publications · 242 citations

    8

    h-index

  2. 7

    h-index

  3. Measuring Business Excellence

    5 publications · 143 citations

    5

    h-index

  4. PubMed

    Repository · 4 publications · 173 citations

    4

    h-index

  5. Expert Systems with Applications

    4 publications · 288 citations

    4

    h-index

1–5