Fraud Risk Classification

Fraud Risk Classification is a systematic method within the domain of risk assessment that specifically identifies and categorizes potential fraudulent activities by analyzing behavioral, transactional, or contextual indicators to differentiate levels of fraud susceptibility in organizational or financial systems.

123

Publications

11.7K

Citations

331

Authors

195

Institutions

Publications per year

2017–2026

55

Authors

331

  1. CJ
    Christopher J. Skousen

    Utah State University, United States

    3 publications · 176 citations

    3

    h-index

  2. MJ
    Michael J. Cerullo

    Missouri State University, United States

    2 publications · 67 citations

    2

    h-index

  3. RA
    Richard A. Derrig

    KU Leuven, Belgium

    2 publications · 328 citations

    2

    h-index

  4. PL
    Patrick L. Brockett

    The University of Texas at Austin, United States

    2 publications · 214 citations

    2

    h-index

  5. BJ
    Brady J. Twedt

    University of Oregon, United States

    2 publications · 78 citations

    2

    h-index

1–5 of 331

Venues

  1. Expert Systems with Applications

    10 publications · 1.4K citations

    10

    h-index

  2. Decision Support Systems

    7 publications · 3.3K citations

    7

    h-index

  3. Managerial Auditing Journal

    MAJ · 3 publications · 344 citations

    3

    h-index

  4. SSRN Electronic Journal

    Repository · 3 publications · 142 citations

    3

    h-index

  5. Journal of Business Ethics

    3 publications · 409 citations

    3

    h-index

1–5