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Aggarwal, V and Dharni, K (2020). Deshelling the Shell Companies Using Benford’s Law: An Emerging Market Study. Vikalpa 45(3), pp. 160-169.

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Antonio, GR (2023). Numbers Don’t Lie: Decoding Financial Error and Fraud through Benford’s Law. UTSAHA (Journal of Entrepreneurship) 2(3) . DOI:10.56943/joe.v2i3.367. View Complete Reference Online information Works that this work references Works that reference this work
Eutsler, J, Harris, MK, Williams, LT and Cornejo, OE (2023). Accounting for partisanship and politicization: Employing Benford's Law to examine misreporting of COVID-19 infection cases and deaths in the United States. Accounting, Organizations and Society, in press. DOI:10.1016/j.aos.2023.101455. View Complete Reference Online information Works that this work references Works that reference this work
Farhadi, N and Lahooti, H (2022). In Data We Trust: Proving Market Manipulation on the Tehran Stock Exchange. International Journal of Business and Management 17(4). DOI:10.5539/ijbm.v17n4p1. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Luty, P, Petković, M and Vavrek, R (2022). Applying Benfordʼs Law on assessing the reliability of financial information in European companies from the rental and leasing sector before and after the adoption of IFRS 16. The Theoretical Journal of Accounting 46(4), pp. 51-68. ISSN/ISBN:1641-4381 . View Complete Reference Online information Works that this work references No Bibliography works reference this work
Martins, A, Alves, J and Vaz, C (2024). Application of Benford’s law to detect signs of under-invoicing in companies in the restaurant sector during the COVID-19 pandemic. European Journal of Tourism, Hospitality and Recreation (EJTHR) 14(2), pp. 273-284. DOI:10.2478/ejthr-2024-0020. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mörch, H and Hällgren, H (2022). Accounting manipulation - analyzing corporate subsidy recipients during the covid-19 pandemic. Masters thesis, Uppsala University, Sweden. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Silva, AdeA and Gouvêa, MA (2023). Study on the effect of sample size on type I error, in the first, second and first-two digits excessmad tests. International Journal of Accounting Information Systems 48, p. 100599. DOI:10.1016/j.accinf.2022.100599. View Complete Reference Online information Works that this work references Works that reference this work