This work is cited by the following items of the Benford Online Bibliography:

Akkaş, ME (2015). Altın Getirileri Dağılımının Newcomb-Benford Kanunu İle Testi [Testing Distribution of Gold Returns by Newcomb-Benford Law]. Uluslararası Sosyal Araştırmalar Dergisi 8(40), pp. 577-584. DOI:10.17719/jisr.20154013940. TUR | ||||

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, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford’s laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity. Physica A: Statistical Mechanics and its Applications 574, pp. 125969. DOI:10.1016/j.physa.2021.125969. | ||||

Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford's laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity. Preprint arXiv:2104.07962 [q-fin.ST]; last accessed April 30, 2021. To appear in: Physica A: Statistical Mechanics and its Applications, 574. DOI:10.1016/j.physa.2021.125969. | ||||

Aybars, A and Ataunal, L (2016). An application of Benford’s law to fundamental accounting figures reported by Borsa Istanbul (BIST) companies. Journal of Economics, Finance and Accounting 3(3), pp. 234-243. DOI:10.17261/Pressacademia.2016321991. | ||||

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. DOI:10.1016/j.physa.2020.125626. | ||||

Badal-Valero, E, Alvarez-Jareño, JA and Pavía, JM (2018). Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case. Forensic Science International 282, pp. 24-34. DOI:10.1016/j.forsciint.2017.11.008. | ||||

Barney, BB and Schulzke, KS (2016). Moderating "Cry Wolf" events with excess MAD in Benford's law research and practice. J. Forensic Account. Res. 1 (1), A66–A90. DOI:10.2308/jfar-51622. | ||||

Das, RC, Mishra, CS and Rajib, P (2017). Detection of Anomalies in Accounting Data Using Benford’s Law: Evidence from India. Journal of Social Science Studies 4(1), pp. 123-139. DOI:10.5296/jsss.v4i1.9873. | ||||

Grammatikos, T and Papanikolaou, NI (2021). Applying Benford’s law to detect accounting data manipulation in the banking industry. Journal of Financial Services Research 59, pp. 115-142. DOI:10.1007/s10693-020-00334-9. | ||||

Guliyev, H (2021). COVID-19 Data Published by Turkey is Fake or Not?. Preprint on ResearchSquare.com. | ||||

Henselmann, K, Ditter, D and Scherr, E (2015). Irregularities in accounting numbers and earnings management - A novel approach based on SEC XBRL filings. Journal of Emerging Technologies in Accounting 12 (1), pp. 117–151. DOI:10.2308/jeta-51247. | ||||

Istrate, C (2019). Detecting earnings management using Benford’s Law: the case of Romanian listed companies. Journal of Accounting and Management Information Systems 18(2), pp. 198-223. DOI:10.24818/jamis.2019.02003. | ||||

Jianu, Io and Jianu, Iu (2021). Reliability of Financial Information from the Perspective of Benford’s Law. Entropy 23(5), article no. 557. DOI:10.3390/e23050557. | ||||

Máté, D, Sadaf, R, Tarnóczi, T and Fenyves, V (2017). Fraud Detection by Testing the Conformity to Benford’s Law in the Case of Wholesale Enterprises. Polish Journal Of Management Studies, 16(1), pp.115-126. DOI:10.17512/pjms.2017.16.1.10 . | ||||

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. | ||||

Pizzi, S, Venturelli, A, Variale, M and Macro, GP (2021). Assessing the impacts of digital transformation on internal auditing: A bibliometric analysis. Technology in Society 67, p. 101738. DOI:10.1016/j.techsoc.2021.101738. | ||||

Sadaf, R (2017). Advanced Statistical Techniques For Testing Benford'S Law. Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pp. 229-238. | ||||

Zheng, Y, Glass, R and Olinsky, A (2017). An Application of Benford's Law to Detect Data Misrepresentation in Mutual Fund Reporting. Academy of Business Research Journal 1, pp. 65-73. |