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

Ausloos, M, Cerqueti, R and Lupi, C (2017). Long-range properties and data validity for hydrogeological time series: The case of the Paglia river. Physica A: Statistical Mechanics and its Applications 470, pp. 39-50. DOI:10.1016/j.physa.2016.11.137. | ||||

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. | ||||

Azevedo, CdS, Gonçalves, RF, Gava, VL and Spinola, MdM (2021). A Benford’s Law based method for fraud detection using R Library. MethodsX 2021. DOI:10.1016/j.mex.2021.101575. | ||||

Barabesi, L, Cerioli, A and Di Marzio, M (2023). Statistical models and the Benford hypothesis: a unified framework. TEST. DOI:10.1007/s11749-023-00881-y. | ||||

Blondeau Da Silva, S (2021). BeyondBenford R Package to compare Benford's and BDS's Distributions. Computer Science Journal of Moldova 29(2), p. 241-256. | ||||

Butgereit, L (2021). Covid Cases and Covid Deaths as seen through Benford's Law – With a Special View to Africa. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp. 1-6 . DOI:10.1109/ICECCME52200.2021.9591143. | ||||

Cerri, J (2018). A fish rots from the head down: how to use the leading digits of ecological data to detect their falsification. Preprint, bioRxiv p. 368951. DOI:10.1101/368951. | ||||

Druica, E, Oancea, B and Valsan, C (2018). Benford's law and the limits of digit analysis. International Journal of Accounting Information Systems 31, pp. 75–82. DOI:10.1016/j.accinf.2018.09.004. | ||||

Eckhartt, GM and Ruxton, GD (2023). Investigating and preventing scientific misconduct using Benford’s Law. Research Integrity and Peer Review 8(1). DOI:10.1186/s41073-022-00126-w. | ||||

Filho, DF, Silva, L and Medeiros, H (2022). “Won’t get fooled again”: statistical fault detection in COVID-19 Latin American data. Globalization and Health 18, pp.105. DOI:10.1186/s12992-022-00899-1. | ||||

Galati, L (2020). Do Municipally Owned Utilities Round Earnings Before Elections? An Application of the Benford's Law. Unpublished Master's Dissertation, University of Molise. DOI:10.13140/RG.2.2.36384.51204. | ||||

Giannakis, N and Burlac, L (2021). Benford’s Law: Analysis of the trustworthiness of COVID-19 reporting in the context of different political regimes. Bachelor’s Degree Project in Mathematics, Division of Mathematics and Physics Mälardalen University, Sweden. | ||||

Kazemitabar, Jav and Kazemitabar, Jal (2022). Benford Test Based on Logarithmic Property. International Journal of Auditing Technology 4(4), pp. 279-291. DOI:10.1504/IJAUDIT.2022.10047587. | ||||

Kilani, A (2021). Authoritarian regimes' propensity to manipulate Covid-19 data: a statistical analysis using Benford's Law. Commonwealth & Comparative Politics . DOI:10.1080/14662043.2021.1916207. | ||||

Morzy, M, Kajdanowicz, T and Szymański, BK (2016). Benford’s Distribution in Complex Networks. Scientific Reports 6:34917. DOI:1038/srep34917. | ||||

Mumic, N and Filzmoser, P (2021). A multivariate test for detecting fraud based on Benford’s law, with application to music streaming data. Statistical Methods & Applications 30, 819–840. DOI:10.1007/s10260-021-00582-6. | ||||

Noleto-Filho, EM, Carvalho, AR, Thomè-Souza, MJF and Angelini, R (2022). Reporting the accuracy of small–scale fishing data by simply applying Benford’s law. Frontiers in Marine Science 9, pp. 947503. DOI:10.3389/fmars.2022.947503. | ||||

Palacios, NT (2020). Benford's Law. History, mathematical justification and applications. Degree in Statistics Final Degree Project, Universidad de Valladolid. Facultad de Ciencias. | ||||

Parreño, SJE (2023). Assessing the quality of dengue data in the Philippines using Newcomb-Benford law. Sapienza: International Journal of Interdisciplinary Studies 4(3). DOI:10.51798/sijis.v4i3.662. | ||||

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. | ||||

Silva, L and Filho, DF (2021). Using Benford’s law to assess the quality of COVID-19 register data in Brazil. Journal of Public Health 43(1), pp. 107-110. DOI:10.1093/pubmed/fdaa193. | ||||

Silva, LEdO and Figueiredo, D (2024). A novel approach to evaluate data integrity: evidence from COVID-19 in China. Brazilian Journal of Biometrics 42(1), pp. 78-87. DOI:10.28951/bjb.v42i1.659. | ||||

Starunova, OA, Rudney, SG, Ivanova, AE, Semenova, VG and Starodubov, VI (2022). Application of Benford's Law for Quality Assessment of Preventive Screening Data. Mathematical Biology and Bioinformatics 17(2), pp. 230-249. DOI:10.17537/2022.17.230. RUS | ||||

Szabo, JK, Forti, LR and Callaghan, CT (2023). Large biodiversity datasets conform to Benford's law: Implications for assessing sampling heterogeneity. Biological Conservation 280, pp. 109982. DOI:10.1016/j.biocon.2023.109982. | ||||

Yildiz, MS (2018). Benford Yasasının Veri Doğruluğunun Değerlendirilmesi Amaçlı Kullanımı: Hastane Verileri İçin Bir Uygulama [Use of Benford's Law to Evaluate Data Accuracy: An Application for Hospital Data]. Yönetim ve Ekonomi 25(3), pp. 849-861. DOI:10.18657/yonveek.336919. TUR |