Alexopoulos, T and Leontsinis, S (2014). Benford's Law in Astronomy. Journal of Astrophysics and Astronomy, 35(4), pp. 639648. ISSN/ISBN:02506335. DOI:10.1007/s120360149303z.





Ausloos, M, Cerqueti, R and Mir, TA (2017). Data science for assessing possible tax income manipulation: The case of Italy. Chaos, Solitons and Fractals 104, pp. 238–256. DOI:10.1016/j.chaos.2017.08.012.





Ausloos, M, Herteliu, C and Ileanu, BV (2015). Breakdown of Benford’s law for birth data. Physica A: Statistical Mechanics and its Applications
Volume 419, pp. 736–745. ISSN/ISBN:03784371. DOI:10.1016/j.physa.2014.10.041.





Crocetti, E and Randi, G (2016). Using the Benford's Law as a first step to assess the quality of the cancer registry data. Frontiers in Public Health 4:225. DOI:10.3389/fpubh.2016.00225.





Diekmann, A (2012). Making Use of ‘‘Benford’s Law’’ for the Randomized Response Technique. Sociological Methods and Research 41(2), pp. 325334. DOI:10.1177/0049124112452525.





Drake, PD and Nigrini, MJ (2000). Computer assisted analytical procedures using Benford’s law. Journal of Accounting Education 18, pp. 127146. DOI:10.1016/S07485751(00)000087.





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.





Goodman, WM (2016). The promises and pitfalls of Benford's law. Significance 13(3) pp. 3841. DOI:10.1111/j.17409713.2016.00919.x.





JoannesBoyau, R, Bodin, T, Scheffers, A, Sambridge, M and May, SM (2015). Using Benford’s law to investigate Natural Hazard dataset homogeneity. Nature Scientific Reports 5:12046, pp. 18 . DOI:10.1038/srep12046.





Lee, KB, Han, S and Jeong, Y (2020). COVID19, flattening the curve, and Benford’s law. Physica A: Statistical Mechanics and its Applications 559, 125090. DOI:10.1016/j.physa.2020.125090.





Lesperance, M, Reed, WJ, Stephens, MA, Tsao, C and Wilton, B (2016). Assessing Conformance with Benford’s Law: GoodnessOfFit Tests and Simultaneous Confidence Intervals. PLoS One 11(3): e0151235; published online 2016 Mar 28. DOI:10.1371/journal.pone.0151235.





Mebane, WR Jr (2006). Detecting Attempted Election Theft: Vote Counts, Voting Machines and Benford’s Law. Paper prepared for the 2006 Annual Meeting of the Midwest Political Science Association, Chicago, IL.





Mir, TA (2012). The law of the leading digits and the world religions. Physica A: Statistical Mechanics and its Applications, 391 (2012), pp. 792798. DOI:10.1016/j.physa.2011.09.001.





Mir, TA, Ausloos, M and Cerqueti, R (2014). Benford’s law predicted digit distribution of aggregated income taxes: the surprising conformity of Italian cities and regions. Eur. Phys. J. B (2014) 87: 261. ISSN/ISBN:14346028. DOI:10.1140/epjb/e2014505252.





Moret, MA, de Senna, V, Pereira, MG and Zebende, GF (2006). NewcombBenford law in astrophysical sources. International Journal of Modern Physics C 17(11), pp. 15971604. ISSN/ISBN:01291831. DOI:10.1142/S0129183106010054.





Nigrini, MJ (2011). Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. John Wiley & Sons: Hoboken, New Jersey; (2nd edition published in 2020, isbn 9781119585763). ISSN/ISBN:9780470890462.





Nigrini, MJ (2015). Persistent Patterns in Stock Returns, Stock Volumes, and Accounting Data in the U.S. Capital Markets. Journal of Accounting, Auditing & Finance, Vol. 30(4) pp. 541–557. DOI:10.1177/0148558X15584051.





Pericchi, LR and Torres, DA (2011). Quick anomaly detection by the NewcombBenford law, with applications to electoral processes data from the USA, Puerto Rico and Venezuela. Statistical Science 26(4), pp. 50216. DOI:10.1214/09STS296.





Riccioni, J and Cerqueti, R (2018). Regular paths in financial markets: Investigating the Benford’s law. Chaos, Solitons and Fractals 107, pp. 186194. DOI:10.1016/j.chaos.2018.01.008.





Sambridge, M and Jackson, A (2020). National COVID numbers — Benford’s law looks for errors. Nature 581(7809), p. 384. DOI:10.1038/d41586020015655.





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. 878888. DOI:10.1016/j.physa.2017.11.017.




