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.
This work is cited by the following items of the Benford Online Bibliography:
Note that this list may be incomplete, and is currently being updated. Please check again at a later date.
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.





Barabesi, L, Cerioli, A and Di Marzio, M (2023). Statistical models and the Benford hypothesis: a unified framework. TEST. DOI:10.1007/s1174902300881y.





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.





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.





Pain, JC and Croset, P (2023). Checking the reliability of opacity databases. Preprint arXiv:2304.02469 [physics.atomph]; last accessed April 19, 2023.





Pain, JC 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.





Sinaga, ES and Sudharma, NI (2024). Benford’s law analysis to evaluate the quality data of COVID19 epidemiological surveillance in Indonesia. International Journal of Public Health Science (IJPHS) vol. 13 (1), pp. 713.




