Fraud Detection
Fraud Detection is an analytical discipline that systematically identifies and flags transactions, activities, or claims exhibiting patterns indicative of intentional deception or misrepresentation for unlawful financial gain within accounting information systems, auditing, insurance, e-commerce, and related financial contexts.
7.1K
Publications
390.1K
Citations
14.5K
Authors
3.6K
Institutions
Publications per year
2017–2026
3.6K
7.1K
Free Competition and the Optimal Amount of Fraud
Michael R. Darby, Edi Karni · The Journal of Law and Economics · 1973 · 3.8K citations
Who Blows the Whistle on Corporate Fraud?
Alexander Dyck, Adair Morse, Luigi Zingales · The Journal of Finance · 2010 · 1.9K citations
1–5 of 7.1K
14.5K
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18
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3.6K
Florida Atlantic University
Boca Raton, United States
31 h-index
109 publications
6.8K citations

Chinese Academy of Sciences
Beijing, China
29 h-index
79 publications
4.3K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
29 h-index
59 publications
5.4K citations
Tongji University
Shanghai, China
28 h-index
120 publications
10.3K citations
Carnegie Mellon University
Pittsburgh, United States
28 h-index
97 publications
11.3K citations

Universiti Teknologi MARA
Shah Alam, Malaysia
28 h-index
137 publications
5.6K citations

Queensland University of Technology
Brisbane, Australia
27 h-index
55 publications
2.2K citations
University of Portsmouth
Portsmouth, United Kingdom
26 h-index
96 publications
5K citations
1–8 of 3.6K
Repository · 286 publications · 13.1K citations
58
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163 publications · 5.9K citations
44
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70 publications · 6.2K citations
43
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76 publications · 6.6K citations
42
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68 publications · 8K citations
42
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