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Kazemitabar, Jal and Kazemitabar, Jav (2020). Measuring the conformity of distributions to Benford's law. Communications in Statistics - Theory and Methods 49(14), pp. 3530-3536.

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Kazemitabar, J (2021). Double-Crossing Benford's Law. Preprint arXiv:2105.09812 [stat.AP]; last accessed May 31, 2021. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kazemitabar, J (2022). A general framework for constructing distributions satisfying Benford’s law. Communications in Statistics - Simulation and Computation. DOI:10.1080/03610918.2022.2032153. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Morillas-Jurado, FG, Caballer-Tarazona, M and Caballer-Tarazona, V (2022). Applying Benford’s Law to Monitor Death Registration Data: A Management Tool for the COVID-19 Pandemic. Mathematics 10(1), 46. DOI:10.3390/math10010046. View Complete Reference Online information Works that this work references Works that reference this work
Parnak, A, Baleghi, Y, Kazemitabar, J and (2020). A Novel Forgery Detection Algorithm Based on Mantissa Distribution in Digital Images. Proceedings of 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), pp. 1-4. DOI:10.1109/ICSPIS51611.2020.9349611. View Complete Reference Online information Works that this work references Works that reference this work
Parnak, A, Damavandi, YB and Kazemitabar, SJ (2022). A Novel Image Splicing Detection Algorithm based on Generalized and Traditional Benford’s Law. International Journal of Engineering, Transactions A: Basics 35(4), pp. 626-634. View Complete Reference Online information Works that this work references No Bibliography works reference this work