Financial Statement Fraud Detection
Financial Statement Fraud Detection is a methodological framework within financial accounting and forensic analysis that systematically identifies intentional misstatements in financial reports through analytical, statistical, or machine learning techniques to distinguish fraudulent from non-fraudulent reporting patterns.
772
Publications
48.2K
Citations
1.7K
Authors
756
Institutions
Publications per year
2017–2026
409
772
The Press as a Watchdog for Accounting Fraud
Gregory S. Miller · Journal of Accounting Research · 2006 · 1.1K citations
Business, Accountancy, Accounting +17
A Statistical Derivation of the Significant-Digit Law
Theodore P. Hill · Statistical Science · 1995 · 680 citations · Full text
Short Sellers and Financial Misconduct
Jonathan M. Karpoff, Xiaoxia Lou · The Journal of Finance · 2010 · 596 citations
1–5 of 772
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756

University of Minnesota
Minneapolis, United States
10 h-index
16 publications
957 citations

Universiti Teknologi MARA
Shah Alam, Malaysia
9 h-index
26 publications
1K citations
University of Virginia
Charlottesville, United States
9 h-index
14 publications
889 citations

Chinese Academy of Sciences
Beijing, China
9 h-index
14 publications
523 citations
Brigham Young University
Provo, United States
9 h-index
17 publications
1.6K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
8 h-index
10 publications
732 citations

Udayana University
Denpasar, Indonesia
8 h-index
29 publications
796 citations

Shanghai Jiao Tong University
Shanghai, China
7 h-index
14 publications
1.5K citations
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Repository · 44 publications · 1.9K citations
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13 publications · 3.3K citations
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15 publications · 505 citations
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12 publications · 1.9K citations
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11 publications · 1.4K citations
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