Shahana, T, Lavanya, V and Bhat, AR (2023). State of the art in financial statement fraud detection: A systematic review. Technological Forecasting and Social Change 192, p. 122527
.
This work is cited by the following items of the Benford Online Bibliography:
Note that this list may be incomplete, and is currently being updated. Please check again at a later date.
Gepp, A, Kumar, K and Bhattacharya, S (2023). Taking the hunch out of the crunch: A framework to
improve variable selection in models to detect financial statement fraud. Accounting & Finance 2023, pp.1–20.. DOI:10.1111/acfi.13192 .
|
 |
|
|
|
Sati, BK (2025). The Applicability of Benford’s Law to Detect Fraud in the Financial Statement of Oil and Gas Companies Listed on the Nigerian Stock Exchange. International Journal of Humanities, Literature and Art Research 7(6). DOI:10.70382/mejhlar.v7i6.017.
|
 |
|
|
|