Hüllemann, S , Schüpfer, G and Mauch, J (2017). Application of Benford's law: a valuable tool for detecting scientific papers with fabricated data?. Der Anaesthesist vol. 66(10), pp. 795802
.
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.
Hsu, L and Berisha, V (2022). Does human speech follow Benford’s Law?. Preprint arXiv:2203.13352 [cs.CL]; last accessed April 2, 2022. DOI:10.48550/arxiv.2203.13352.





MacDonald, DK (2021). Using Benford’s Law to Detect Fraud. Posted on dustinkmacdonald.com blog May 2; last accessed May 18, 2021.





Moreau, VH (2021). Inconsistencies in Countries COVID19 Data Revealed by Benford’s Law’. Model Assisted Statistics and Applications 16(1), pp. 7379. DOI:10.3233/MAS210517.





Ollén, ER and Wennberg, J (2021). Assessing practicalities of Benford's Law: A study of the law's potential to detect fraud in transactional data. Bachelor thesis, Dept. of Economics, Lund University.





Pinilla, J, LópezValcárcel, BG, GonzálezMartel, C and Peiro, S (2018). Pinocchio testing in the forensic analysis of waiting lists: using public waiting list data from Finland and Spain for testing NewcombBenford’s Law. BMJ open,8(5), pp. 16. ISSN/ISBN:20446055. DOI:10.1136/bmjopen2018022079.




