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Grammatikos, T and Papanikolaou, NI (2016). Applying Benford’s Law to Detect Accounting Data Manipulation in the Banking Industry. Luxembourg School of Finance Working Paper Series 11.

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Branets, S (2019). Detecting money laundering with Benford’s law and machine learning . Masters Thesis, University of Tartu. View Complete Reference Online information Works that this work references Works that reference this work
Dayaratna, KD (2024). Beyond the Ballot: A Survey of Statistical Methods for Uncovering Election Anomalies. The Heritage Foundation Issue Brief No. 5362. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Etim, ES, Daferighe, EE, Inyang, AB and Ekikor, ME (2023). Application of Benford’s Law and the Detection of Accounting Data Fraud in Nigeria. International Journal of Auditing and Accounting Studies 5(2) pp. 119-163. DOI:10.47509/IJAAS.2023.v05i02.01. View Complete Reference Online information Works that this work references Works that 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
Kim, H (2019). Financial Statements Errors in Japanese Firms : Using a Benfordʼs Law. The Journal of Tokyo Keizai University: Business 302, pp. 19-42. JPN View Complete Reference Online information Works that this work references No Bibliography works reference this work
Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:978-0-691-14761-1. View Complete Reference Online information Works that this work references Works that reference this work
Othman, R, Ameer, R and Laswad, F (2019). Forensic Auditing Tools in Detecting Financial Statements' Irregularities: Benford's Law and Beneish Model in the Case of Toshiba. In: R. Marques, C. Santos, & H. Inácio (Eds.), Organizational Auditing and Assurance in the Digital Age, Hershey, PA: IGI Global, Chapter 13, pp. 256-275. DOI:10.4018/978-1-5225-7356-2.ch013. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Rad, M, Amiri, A, Ranjbar, MH and Salari, H (2021). Predictability of financial statements fraud-risk using Benford’s Law. Cogent Economics & Finance 9(1), p. 1889756 . DOI:10.1080/23322039.2021.1889756. View Complete Reference Online information Works that this work references Works that reference this work
Shalaby, AHM and Al-Harkan, AAM (2022). The awareness of judicial accounting techniques towards the expectations of the external auditor in detecting fraud and its impact on the performance. Accounting 8, pp. 345–354. DOI:10.5267/j.ac.2021.10.003. View Complete Reference Online information Works that this work references No Bibliography works reference this work