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

da Silva, AJ, Floquet, S, Santos, DOC and Lima, RF (2020). On the validation of the Newcomb-Benford Law and the Weibull distribution in neuromuscular transmission. Physica A 553, 1 September 2020, 124606. DOI:10.1016/j.physa.2020.124606. | ||||

Ducharme, RG, Kaci, S and Vovor-Dassu ,C (2020). Smooths Tests of Goodness-of-fit for the Newcomb-Benford distribution. Preprint: arXiv:2003.00520v1 [math.ST]. FRE | ||||

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. | ||||

Kalameyets, M, Levshun, D, Soloviev, S, Chechulin, A and Kotenko, I (2020). Social networks bot detection using Benford’s law. SIN 2020: 13th International Conference on Security of Information and Networks, Article No.: 19. pp. 1–8. DOI:10.1145/3433174.3433589. | ||||

Pinilla, J, López-Valcárcel, BG, González-Martel, C and Peiro, S (2018). Pinocchio testing in the forensic analysis of waiting lists: using public waiting list data from Finland and Spain for testing Newcomb-Benford’s Law. BMJ open,8(5), pp. 1-6. ISSN/ISBN:2044-6055. DOI:10.1136/bmjopen-2018-022079. | ||||

Qu, H, Steinberg, R and Burger, R (2019). Abiding by the Law? Using Benford's Law to Examine the Accuracy of Nonprofit Financial Reports. Nonprofit and Voluntary Sector Quarterly. DOI:10.1177/0899764019881510. | ||||

Shi, J, Ausloos, M and Zhu, T (2018). Benford's law is the first significant digit and distribution distances for testing the reliability of financial reports in developing countries. Physica A: Statistical Mechanics and its Applications 492(1), pp. 878-888. DOI:10.1016/j.physa.2017.11.017. |