This work is cited by the following items of the Benford Online Bibliography:
| Anderson, KM, Dayaratna, K, Gonshorowski, D and Miller, SJ (2022). A New Benford Test for Clustered Data with Applications to American Elections. Stats 5(3), pp. 841–855. DOI:10.3390/stats5030049 . |
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| Antonio, GR (2023). Numbers Don’t Lie: Decoding Financial Error and Fraud through Benford’s Law. UTSAHA (Journal of Entrepreneurship) 2(3) . DOI:10.56943/joe.v2i3.367. |
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| Bwarleling, TH and Kinasih, PR (2022). Language Preferences from Accounting and Linguistic Perspective in Sustainability Report . Proceedings of 9th International Conference on Opportunities and Challenges In Management, Economics, and Accounting, Paris, France . DOI:10.33422/9th.omeaconf.2022.08.100. |
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| Can, EN and Özarı, Ç (2023). Conformity of some financial statement elements of BIST30 companies with the Benford law. Mali Çözüm Dergisi 33(177), pp. 773-806. TUR |
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| Cano-Rodríguez, M, Núñez-Nickel, M and Licerán-Gutiérrez, A (2025). Divergence from Benford’s law fails to measure financial statement accuracy. International Journal of Accounting Information Systems 56, pp. 100745. DOI:10.1016/j.accinf.2025.100745. |
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| Cano‐Rodríguez, M, Licerán-Gutiérrez, A and Nunez-Nickel, M (2023). Does Divergence from Benford’s Distribution Signal Earnings Management?. Preprint available at SSRN; last accessed January 16, 2025. DOI:10.2139/ssrn.4475622. |
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| Farhadi, N (2021). Can we rely on COVID-19 data? An assessment of data from over 200 countries worldwide. Science Progress 104(2). DOI:10.1177/00368504211021232. |
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| Farhadi, N and Lahooti, H (2021). Are COVID-19 Data Reliable? A Quantitative Analysis of Pandemic Data from 182 Countries. COVID 1, pp. 137–152. DOI:10.3390/covid1010013. |
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| Farhadi, N and Lahooti, H (2021). Pandemic Growth and Benfordness: Empirical Evidence from 176 Countries Worldwide. COVID 1(1), pp. 366-383. DOI:10.3390/covid1010031. |
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| Farhadi, N and Lahooti, H (2022). Forensic Analysis of COVID-19 Data from 198 Countries Two Years after the Pandemic Outbreak. COVID 2(4), pp. 472-484. DOI:10.3390/covid2040034. |
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| Farhadi, N and Lahooti, H (2022). In Data We Trust: Proving Market Manipulation on the Tehran Stock Exchange. International Journal of Business and Management 17(4). DOI:10.5539/ijbm.v17n4p1. |
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| Gajdosikova, D, Nagy, M and Valaskova, K (2022). Earnings Management Detection: Practical Application of Benford's Law in Business Practice. Journal of Management and Business: Research and Practice 14(1). ISSN/ISBN:1339-9381. DOI:10.54933/jmbrp-2022-14-1-1. |
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| Hamida, AB, de Peretti, C and Belkacem, L (2024). The link between abnormal numbers and price movements of financial securities: How does Benford’s law predict stock returns?. International Review of Financial Analysis 85, pp 103517. DOI:10.1016/j.irfa.2024.103517. |
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| Harb, E, Nasrallah, N, El Khoury, R and Hussainey, K (2022). Applying Benford’s Law to detect accounting data manipulation in the pre-and post-financial engineering periods: Evidence from Lebanon. Working Papers of LaRGE Research Center 2022-10, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg. |
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| Harb, E, Nasrallah, N, El Khoury, R and Hussainey, K (2023). Applying Benford’s Law to detect accounting data manipulation in the pre-and post-financial engineering periods. Journal of Applied Accounting Research 24(4), pp 745-768. DOI:10.1108/JAAR-05-2022-0097. |
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| Hassan, S, Aksar, M, Ahmad, M and Kajanova, J (2024). Are managers of emerging markets more opportunistic? application of Benford’s Law. PLoS ONE 19(12), pp. e0313611. DOI:10.1371/journal.pone.0313611. |
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| Ibrahim, AA, Yousif, MS, Omer, OA, Alrofaie, OA, Hago, HM and Abdalwahab, EA (2025). Examining Financial Reporting Fraud in Sudan's Telecom Industry: Sudatel Telecommunication as a Case Study. In: Proceedings of 6th International Conference on Business, Education, Social and Technology (ICBEST2025), pp. 201-210, Kuala Lumpur, Malaysia. ISSN/ISBN:3036-0153. |
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| Jalan, A, Matkovskyy, R and Yarovaya, L (2021). “Shiny” crypto assets: A systemic look at gold-backed cryptocurrencies during the COVID-19 pandemic. International Review of Financial Analysis 78, p. 101958 . DOI:10.1016/j.irfa.2021.101958. |
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| Macedo, BHC and Nardi, PCC (2025). Relationship between compliance with Benford's Law and the timeliness of financial statement disclosure: an empirical analysis [This article is a translation in English of the article: Relação entre a conformidade com a Lei de Benford e o tempo de divulg. Journal of Education and Research in Accounting (REPeC) 19. DOI:10.17524/repec.v19.e3710. |
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| Mörch, H and Hällgren, H (2022). Accounting manipulation - analyzing corporate subsidy recipients during the covid-19 pandemic. Masters thesis, Uppsala University, Sweden. |
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| Păunescu, M, Nichita, E-M, Lazăr, P and Frățilă, A (2023). Applying Benford’s Law to Detect Fraud in the Insurance Industry—A Case Study from the Romanian Market. Proceedings of Fostering Recovery Through Metaverse Business Modelling. DOI:10.1007/978-3-031-28255-3_4. |
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| Silva, AdeA and Gouvêa, MA (2023). Study on the effect of sample size on type I error, in the first, second and first-two digits excessmad tests. International Journal of Accounting Information Systems 48, p. 100599. DOI:10.1016/j.accinf.2022.100599. |
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| Theodoro, R, Bonarim, CAG and Costa, DRdM (2021). Identifying Discretionary Actions Taken by Managers in Credit Unions: An Application of Benford's Law. Journal of Accounting, Management and Governance 24(3), pp. 331-348. DOI:10.51341/1984-3925_2021v24n3a5. |
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| Wei, A and Vellwock, AE (2020). Is COVID-19 data reliable? A statistical analysis with Benford's Law. Preprint, posted September. DOI:10.13140/RG.2.2.31321.75365/1. |
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| Zenkov, AV (2021). Stylometry and Numerals Usage: Benford’s Law and Beyond. Stats 4(4), pp. 1051-1068. ISSN/ISBN:2571-905X. DOI:10.3390/stats4040060. |
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