Kazemitabar, Jal and Kazemitabar, Jav (2020). Measuring the conformity of distributions to Benford's law. Communications in Statistics  Theory and Methods 49(14), pp. 35303536.
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.
Kazemitabar, J (2021). DoubleCrossing Benford's Law. Preprint arXiv:2105.09812 [stat.AP]; last accessed May 31, 2021.





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.





MorillasJurado, FG, CaballerTarazona, M and CaballerTarazona, V (2022). Applying Benford’s Law to Monitor Death Registration Data: A Management Tool for the COVID19 Pandemic. Mathematics 10(1), 46. DOI:10.3390/math10010046.





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. 14. DOI:10.1109/ICSPIS51611.2020.9349611.





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. 626634.




