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

Azevedo, CdS, Gonçalves, RF, Gava, VL and Spinola, MdM (2021). A Benford’s Law based methodology for fraud detection in social welfare programs: Bolsa Familia analysis. Physica A 567, p. 125626. DOI:10.1016/j.physa.2020.125626. | ||||

Barabesi, L, Cerasa, A, Cerioli, A and Perrotta, D (2021). On characterizations and tests of Benford’s law. To appear in: Journal of the American Statistical Association. DOI:10.1080/01621459.2021.1891927. | ||||

Barabesi, L and Pratelli, L (2020). On the Generalized Benford law. Statistics & Probability Letters 160, 108702 . DOI:10.1016/j.spl.2020.108702. | ||||

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 | ||||

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. | ||||

Kennedy, AP and Yam, SCP (2020). On the authenticity of COVID-19 case figures. PLoS ONE 15(12): e0243123. DOI:10.1371/journal.pone.0243123. | ||||

Lacasa, L (2019). Newcomb–Benford law helps customs officers to detect fraud in international trade. Proceedings of the National Academy of Sciences 116(1), pp. 11-13. DOI:10.1073/pnas.1819470116. | ||||

Martínez JW, Martínez JC, Rincón DA, Salazar, DA, Castrillón JD, Gómez MDP, Suárez OF, Vélez JP, Valencia ÁM, Gómez S, Rincón ÁM, Idrovo ÁJ, Moreno-Montoya J, Prieto-Alvarado FE, Hurtado-Ortiz A and (2020). Benchmarking of public health surveillance of COVID-19 in Colombia: First semester. Biomedica : Revista del Instituto Nacional de Salud 40(Supl. 2), pp. 198-204. SPA | ||||

Morag, S and Salmon-Divon, M (2019). Characterizing Human Cell Types and Tissue Origin Using the Benford Law. Cells 8(9), p. 1004. DOI:10.3390/cells8091004. | ||||

Perrotta, D, Cerasa, A, Barabesi, L and Menegatti, M (2019). Contamination And Manipulation Of Trade Data: The Two Faces Of Customs Fraud . Book of Short Papers, Proceedings of the 12th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS), pp. 394-397. | ||||

Zhang, J (2020). Testing Case Number of Coronavirus Disease 2019 in China with Newcomb-Benford Law. Preprint arXiv:2002.05695 [physics.soc-ph]; last accessed February 18, 2020. |