Azevedo, CdS, Gonçalves, RF, Gava, VL and Spinola, MdM (2021). A Benford’s Law based methodology for fraud detection in social welfare programs: Bolsa Familia analysis. Physica A 567, p. 125626.
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.
Azevedo, CdS, Gonçalves, RF, Gava, VL and Spinola, MdM (2021). A Benford’s Law based method for fraud detection using R Library. MethodsX 2021. DOI:10.1016/j.mex.2021.101575.





Giannakis, N and Burlac, L (2021). Benford’s Law: Analysis of the trustworthiness of COVID19 reporting in the context of different political regimes. Bachelor’s Degree Project in Mathematics, Division of Mathematics and Physics Mälardalen University, Sweden.





Hanci, F (2022). Application of Benford’s law in agricultural production statistics. Journal of the National Science Foundation of Sri Lanka 50 (2), pp. 387393. DOI:10.4038/jnsfsr.v50i2.10429.





Pinto, SO and Sobreiro, VA (2022). Literature review: Anomaly detection approaches on digital business financial systems. Digital Business 2(2), pp. 100038. ISSN/ISBN:26669544. DOI:10.1016/j.digbus.2022.100038.





Whyman, G (2021). Origin, Alternative Expressions of NewcombBenford Law and Deviations of Digit Frequencies. Applied Mathematics 12, pp. 578586. ISSN/ISBN:21527385. DOI:10.4236/am.2021.127041.




