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Bhattacharya, S, Xu, D and Kumar, K (2010). An ANN-based auditor decision support system using Benford's Law. Decision support systems, 50 (3), pp. 576-584.

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Aris, NA, Othman, R, Bukhori, MAM, Arif, SMM and Malek, MAA (2017). Detecting Accounting Anomalies Using Benford’s Law: Evidence from the Malaysian Public Sector. Management & Accounting Review 16(2), pp. 73-100. View Complete Reference Online information Works that this work references Works that reference this work
Cerqueti, R, Maggi, M and Riccioni, J (2022). Statistical methods for decision support systems in finance: how Benford’s law predicts financial risk. Annals of Operations Research. DOI:10.1007/s10479-022-04742-z. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Condeço, PIH (2014). Aplicação da lei de Benford e a importância do controlo interno. Master's Thesis, Instituto politécnico de Lisboa, Instituto superior de contabilidade e administração de Lisboa. POR View Complete Reference Online information Works that this work references No Bibliography works reference this work
Costa, JI (2012). Desenvolvimento de metodologias contabilométricas aplicadas a auditoria contábil digital: uma proposta de análise da lei de Newcomb-Benford para os Tribunais de Contas. Thesis, Universidade Federal de Pernambuco, Recife, Brasil. POR View Complete Reference Online information Works that this work references Works that reference this work
Costa, JI, Henriques, DBB, Melo, S and dos Santos, J (2012). Análise de métodos contabilométricos para determinação de conformidade da Lei Newcomb-Benford aplicados à auditoria contábil. [An analysis of Benford’s law conformity contabilometric methods applied to audit accounting] . Revista Gestão Pública: Práticas e Desafios, Recife, v. III, n. 6, pp. 292-314. POR View Complete Reference Online information Works that this work references Works that reference this work
Cumbrera-Conde, I, Silva-Ramírez, E-L and Cumbrera, FL (2024). Signal processing analysis for detection of anomalies in numerical series. Expert Systems with Applications 255 Part D, pp. 124708. DOI:10.1016/j.eswa.2024.124708. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Ergin, E and Erturan, IE (2020). Is Benford’s Law Effective in Fraud Detection for Expense Cycle? . Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 42(2), pp. 316–326. DOI:10.14780.muiibd.854444. View Complete Reference Online information Works that this work references Works that reference this work
Gepp, A, Kumar, K and Bhattacharya, S (2023). Taking the hunch out of the crunch: A framework to improve variable selection in models to detect financial statement fraud. Accounting & Finance 2023, pp.1–20.. DOI:10.1111/acfi.13192 . View Complete Reference Online information Works that this work references No Bibliography works reference this work
Golbeck, J (2015). Benford’s Law Applies to Online Social Networks. PLoS ONE 10(8): e0135169. DOI:10.1371/journal.pone.0135169. View Complete Reference Online information Works that this work references Works that reference this work
Golbeck, J (2023). Benford’s Law applies to word frequency rank in English, German, French, Spanish, and Italian. PLoS ONE 18(9), pp. e0291337. DOI:10.1371/journal.pone.0291337. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Grabiński, K and Paszek, Z (2013). Examining Reliability of Large Financial Datasets Using Benford's Law. Economic Themes Vol. 51 Issue 3, pp. 515-524. View Complete Reference Online information Works that this work references Works that reference this work
Haferkorn, M (2013). Humans vs. Algorithms – Who Follows Newcomb-Benford’s Law Better with Their Order Volume?. In: Rabhi F.A., Gomber P. (eds), Enterprise Applications and Services in the Finance Industry: Lecture Notes in Business Information Processing Volume 135, pp. 61-70 . ISSN/ISBN:9783642362187. DOI:10.1007/978-3-642-36219-4_4. View Complete Reference Online information Works that this work references Works that reference this work
Horton, J, Kumar, DK and Mercado, F (2023). Anticipating Corporate Misreporting: Leveraging the Slippery Slope Phenomenon and its Predictive Power. Preprint. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Horton, J, Kumar, DK and Wood, A (2020). Detecting academic fraud using Benford law: The case of Professor James Hunton. Research Policy 49(8), 104084 . DOI:10.1016/j.respol.2020.104084. View Complete Reference Online information Works that this work references Works that reference this work
Kellerman, L (2014). Evaluating the effectiveness of Benford’s law as an investigative tool for forensic accountants. Masters thesis (Magister Commercii) in Forensic Accountancy at the Potchefstroom Campus of the North-West University. View Complete Reference Online information Works that this work references Works that reference this work
Kuruppu, N (2019). The Application of Benford’s Law in Fraud Detection: A Systematic Methodology. International Business Research, Canadian Center of Science and Education 12(10), pp. 1-10. DOI:10.5539/ibr.v12n10p1. View Complete Reference Online information Works that this work references Works that reference this work
Kuruppu, N (2020). Uncovering Financial Shenanigans: Benford’s Law as a Computer Assisted Analytical Procedure. International Journal of Business and Management 15(7), pp. 37-47. DOI:10.5539/ijbm.v15n7p37. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Morales, HR, Porporato, M and Epelbaum, N (2021). Benford’s law for integrity tests of high-volume databases: a case study of internal audit in a state-owned enterprise. Journal of Economics, Finance and Administrative Science. DOI:10.1108/JEFAS-07-2021-0113. View Complete Reference No online information available Works that this work references Works that reference this work
Nebel, J-C and Pezzulli, S (2012). Distribution of Human Genes Observes Zipf's Law. Kingston University Research & Innovation Reports (KURIR), Vol. 8, 2012. ISSN/ISBN:1749-5652. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Novalija, S (2012). Analiza cijena lijekova primjenom Benfordovog zakona [Benford Law Analysis of Drug Prices]. 13. međunarodna znanstvena i stručna konferencija "Računovodstvo i menadžment - RIM", Svezak I – znanstveni radovi, Zagreb, Republika Hrvatska, str. pp. 34-46 [13th International Scientific and Professional Conference "Accounting and Manage. BOS View Complete Reference Online information Works that this work references Works that reference this work
Orth, CdO, Michaelsen, AT and Lerner, AF (2020). Newcomb Benford law and accounting audit: a systematic literature review. Gestao E Desenvolvimento 17(2), pp. 111-135. DOI:10.25112/rgd.v17i2.2035. SPA View Complete Reference Online information Works that this work references Works that reference this work
Overhoff, G (2011). The Impact and Reality of Fraud Auditing - Benford's Law: Why and How To Use It. Course for 22nd Annual ACFE Fraud Conference and Exhibition. View Complete Reference Online information Works that this work references Works that reference this work
Pavlović, V, Knežević, G, Joksimović, M and Joksimović, D (2019). Fraud Detection in Financial Statements Applying Benford's Law with Monte Carlo Simulation. Acta oeconomica 69(2), pp.217-239. DOI:10.1556/032.2019.69.2.4. View Complete Reference Online information Works that this work references Works that reference this work
Pinto, SO and Sobreiro, VA (2022). Literature review: Anomaly detection approaches on digital business financial systems. Digital Business 2(2), pp. 100038. ISSN/ISBN:2666-9544. DOI:10.1016/j.digbus.2022.100038. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Sushkov, VM, Leonov, PY, Nadezhina, OS and Blagova, IY (2023). Integrating Data Mining Techniques for Fraud Detection in Financial Control Processes. International Journal of Technology 14(8), pp. 1675-1684. DOI:10.14716/ijtech.v14i8.6830. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Ullman, R and Watrin, C (2017). Detecting Target-Driven Earnings Management Based on the Distribution of Digits. Journal of Business Finance & Accounting 44 (1-2), pp. 63-93. DOI:10.1111/jbfa.12223. View Complete Reference Online information Works that this work references Works that reference this work
Wiryadinata, D, Sugiharto, A and Tarno (2023). The Use of Machine Learning to Detect Financial Transaction Fraud: Multiple Benford Law Model for Auditors. Journal of Information Systems Engineering & Business Intelligence 9(2), pp. 239-252. DOI:10.20473/jisebi.9.2.239-252. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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. View Complete Reference No online information available Works that this work references Works that reference this work