Fraud Incident Classification
Fraud Incident Classification is a systematic categorization framework within incident classification that specifically identifies, distinguishes, and classifies fraudulent activities based on their modus operandi, severity, impact, and organizational context.
17
Publications
949
Citations
49
Authors
31
Institutions
Publications per year
2017–2026
11
Parents
17
Advancing theory of fraud: the S.C.O.R.E. model
Georgios Vousinas · Journal of Financial Crime · 2019 · 375 citations
Business, Accountancy, Accounting +14
The Continued Need for Diversity in Fraud Research
Vikas Anand, M. Tina Dacin, Pamela R. Murphy · Journal of Business Ethics · 2014 · 55 citations · Full text
Business, Accountancy, Accounting +11
Learning Rules from Highly Unbalanced Data Sets
Jianping Zhang, Eric Bloedorn, Lucas Rosen et al. · 2005 · 45 citations
1–5 of 17
49
1
h-index
1
h-index
1
h-index
1
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1
h-index
1–5 of 49
31

Carlow University
Pittsburgh, United States
1 h-index
2 publications
38 citations
Perm State Agricultural Academy
Perm, Russia
1 h-index
1 publications
11 citations
Shri Mata Vaishno Devi University
Katra, India
1 h-index
2 publications
70 citations
Universitat de València
Valencia, Spain
1 h-index
5 publications
145 citations
Indian Institute of Management Bangalore
Bengaluru, India
1 h-index
1 publications
28 citations
Nanjing Audit University
Nanjing, China
1 h-index
4 publications
148 citations

University of Aizu
Fukushima, Japan
1 h-index
1 publications
37 citations
Associated Oregon Loggers
Salem, United States
1 h-index
1 publications
45 citations
1–8 of 31
2 publications · 403 citations
2
h-index
2 publications · 172 citations
2
h-index
1 publications · 16 citations
1
h-index
1 publications · 35 citations
1
h-index
1 publications · 55 citations
1
h-index
1–5