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Stambaugh, C, Tipgos, MA, Carpenter, F and Smith, M (2012). Using Benford Analysis to Detect Fraud. Internal Auditing 27(3), pp. 24-29.

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Balashov, VS, Yan, Y and Zhu, X (2020). Who Manipulates Data During Pandemics? Evidence from Newcomb-Benford Law. Preprint arXiv:2007.14841 [econ.GN]; last accessed March 10, 2021. View Complete Reference Online information Works that this work references Works that reference this work
Balashov, VS, Yan, Y and Zhu, X (2021). Using the Newcomb–Benford law to study the association between a country’s COVID-19 reporting accuracy and its development. Scientific Reports 11, pp. 22914. DOI:10.1038/s41598-021-02367-z. View Complete Reference Online information Works that this work references Works that reference this work
Bouchetara, M and Nassour, A (2020). Internal Auditing in the Face of Banking Fraud, Application of the Benford Law on Algerian Private Bank. UTMS Journal of Economics 11(2), pp. 108–120. View Complete Reference Online information Works that this work references Works that reference this work
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 . View Complete Reference Online information Works that this work references No Bibliography works reference this work
Hashem, MM, Naby, MAA and Hafez, MES (2024). Using the anomalous numbers model (Newcom-Benford model) to verify the accuracy of published data for the fire insurance branch of insurance companies in the Egyptian market. Al-Durr Magazine 34(3), December. View Complete Reference Online information Works that this work references No Bibliography works reference this work