Fraud Risk Modeling is a systematic analytical framework used to identify, quantify, and predict the likelihood of fraudulent activities within an organization by applying statistical, computational, or machine learning techniques to relevant data indicators.
162
Publications
9.8K
Citations
407
Authors
237
Institutions
Publications per year
2017–2026
75
Parents
Publications
162
Advancing theory of fraud: the S.C.O.R.E. model
Georgios Vousinas · Journal of Financial Crime · 2019 · 375 citations
Business, Accountancy, Accounting +14
Using Nonfinancial Measures to Assess Fraud Risk
Joseph F. Brazel, Keith L. Jones, Mark F. Zimbelman · Journal of Accounting Research · 2009 · 312 citations · Full text
Business, Accountancy, Accounting +17
1–5 of 162
Authors
407
- RP
6
h-index
- TJ
5
h-index
- AD
3
h-index
- NO
3
h-index
- LT
2
h-index
1–5 of 407
Institutions
237
University of Kansas
Lawrence, United States
6 h-index
6 publications
135 citations
Brigham Young University
Provo, United States
3 h-index
4 publications
605 citations
KU Leuven
Leuven, Belgium
3 h-index
6 publications
241 citations
University of California, Riverside
Riverside, United States
3 h-index
3 publications
47 citations
Pennsylvania State University
State College, United States
3 h-index
4 publications
102 citations
Universiti Teknologi MARA
Shah Alam, Malaysia
3 h-index
10 publications
406 citations
Narsee Monjee Institute of Management Studies
Mumbai, India
2 h-index
4 publications
114 citations
University of Kentucky
Lexington, United States
2 h-index
2 publications
101 citations
1–8 of 237
Venues
- Expert Systems with Applications
7 publications · 435 citations
7
h-index
- SSRN Electronic Journal
Repository · 7 publications · 238 citations
7
h-index
- Journal of Financial Crime
7 publications · 696 citations
7
h-index
- International Journal of Accounting Information Systems
3 publications · 224 citations
3
h-index
- Intelligent Systems in Accounting Finance & Management
3 publications · 100 citations
3
h-index
1–5