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Barabesi, L, Cerioli, A and Perrotta, D (2021). Forum on Benford’s law and statistical methods for the detection of frauds. Statistical Methods & Applications 30, pp. 767–778.

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Arezzo, MF and Cerqueti, R (2023). A Benford’s Law view of inspections’ reasonability. Physica A: Statistical Mechanics and its Applications 632, Part 1, pp. 129294. DOI:10.1016/j.physa.2023.129294. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
Hulme, PE, Ahmed, DA, Haubrock, PJ, Kaiser, BA, Kourantidou, M, Leroy, B and McDermott, SM (2023). Widespread imprecision in estimates of the economic costs of invasive alien species worldwide. Science of the Total Environment, pp. 167997. DOI:10.1016/j.scitotenv.2023.167997. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Lazebnik, T and Gorlitsky, D (2023). Can We Mathematically Spot Possible Manipulation of Results in Research Manuscripts Using Benford's Law?. Preprint arXiv:2307.01742 [cs.IR]; last accessed July 7, 2023. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Pain, J-C and Croset, P (2023). Checking the reliability of opacity databases. Preprint arXiv:2304.02469 [physics.atom-ph]; last accessed April 19, 2023. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Pain, J-C and Ralchenko, Y (2024). Benford’s law in atomic spectra and opacity databases. Journal of Quantitative Spectroscopy and Radiative Transfer 322. DOI:10.1016/j.jqsrt.2024.109010. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Sinaga, ES and Sudharma, NI (2024). Benford’s law analysis to evaluate the quality data of COVID-19 epidemiological surveillance in Indonesia. International Journal of Public Health Science (IJPHS) vol. 13 (1), pp. 7-13. View Complete Reference Online information Works that this work references No Bibliography works reference this work