This work is cited by the following items of the Benford Online Bibliography:

Bannier, C, Ewelt-Knauer, C, Lips, J and Winker, P (2020). Benford’s Law and Its Application to Detecting Financial Fraud and Manipulation. Ch. 18 in: Corruption and Fraud in Financial Markets: Malpractice, Misconduct and Manipulation, C. Alexander and D. Cumming (Eds.), John Wiley & Sons: Chichester, U.K., pp. 473-504. ISSN/ISBN:978-1-119-42177-1. | ||||

Bannier, C, Ewelt-Knauer, C, Winker, P and Lips, J (2019). Benford’s law and its application to detecting financial fraud and manipulation. Chapter 5 of Econometric Modelling of Energy & Financial Markets, Doctoral Thesis of Johannes Lips, Justus-Liebig University Gießen . | ||||

Branets, S (2019). Detecting money laundering with Benford’s law and machine learning . Masters Thesis, University of Tartu. | ||||

Cerqueti, R and Maggi, M (2021). Data validity and statistical conformity with Benford’s Law. Chaos, Solitons & Fractals 144, p. 110740 . DOI:10.1016/j.chaos.2021.110740. | ||||

Istrate, C (2019). Detecting earnings management using Benford’s Law: the case of Romanian listed companies. Journal of Accounting and Management Information Systems 18(2), pp. 198-223. DOI:10.24818/jamis.2019.02003. | ||||

Jones, WA (2019). A Benford Analysis of National Collegiate Athletic Association Division I Finance Data. Journal of Sports Economics. DOI:10.1177/1527002519887430. | ||||

Kıvraklar, K and Demirci, M (2019). Benford Yasası’nın Mali Denetim Alanında Kullanımı Üzerine Bir Uygulama [An Application On The Use Of Benford Law In The Field Of Financial Inspection]. Muhasebe ve Vergi Uygulamaları Dergisi 12(2), pp. 289-316. DOI:10.29067/muvu.340793. TUR | ||||

Kaiser, M (2019). Benford’s Law As An Indicator Of Survey Reliability—Can We Trust Our Data?. Journal of Economic Surveys Vol. 00, No. 0, pp. 1–17. DOI:10.1111/joes.12338. | ||||

Lee, K-B, Han, S and Jeong, Y (2020). COVID-19, flattening the curve, and Benford’s law. Physica A: Statistical Mechanics and its Applications 559, 125090. DOI:10.1016/j.physa.2020.125090. | ||||

Mataković, IC (2019). The empirical analysis of financial reports of companies in Croatia: Benford distribution curve as a benchmark for first digits. Croatian Review of Economic, Business and Social Statistics (CREBSS) 5(2), pp. 90-100 . DOI:10.2478/crebss-2019-0014. | ||||

Omerzu, N and Kolar, I (2019). Do the Financial Statements of Listed Companies on the Ljubljana Stock Exchange Pass the Benford’s Law Test?. International Business Research, Canadian Center of Science and Education 12(1), pp. 54-64, January. DOI:10.5539/ibr.v12n1p54. | ||||

Pavlović, V, Knežević, G, Joksimović, M and Joksimović, D (2019). Fraud Detection in Financial Statements Applying Benford's Law with Monte Carlo Simulation. Acta oeconomica 69(2), pp.217-239. DOI:10.1556/032.2019.69.2.4. | ||||

Shi, L-F, Yan, B, Pan, J-S and Sun, X-H (2019). Generalized Benford’s Distribution for Data Defined on Irregular Grid. In: Genetic and Evolutionary Computing, Proceedings of the Twelfth International Conference on Genetic and Evolutionary Computing, pp.383--391. DOI:10.1007/978-981-13-5841-8_40. |