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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 .

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Balashov, VS, Yan, Y and Zhu, X (2020). Who Manipulates Data During Pandemics? Evidence from Newcomb-Benford Law. Preprint arXiv:2007.14841 [econ.GN]; last accessed March 10, 2021. View Complete Reference Online information Works that this work references Works that reference this work
Balashov, VS, Yan, Y and Zhu, X (2021). Using the Newcomb–Benford law to study the association between a country’s COVID-19 reporting accuracy and its development. Scientific Reports 11, pp. 22914. DOI:10.1038/s41598-021-02367-z. View Complete Reference Online information Works that this work references Works that reference this work
Choudhury, MR and Mondal, M (2022). An Affiliated Approach to Data Validation: US 2020 Governor’s County Election. Undergraduate Winter Research Project, Government College of Engineering and TextileTechnology, Serampore, India. DOI:10.2139/ssrn.4175594. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Cox, RAK and Antalovschi, NP (2024). An Application of Benford’s Law in the NASDAQGS Health Care Industry. Journal of Finance and Accountancy 33, pp. 1–21. 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
Dutta, A, Choudhury, MR and De, AK (2022). A Unified Approach to Fraudulent Detection. International Journal of Applied Engineering Research 17(2), pp. 110-124. ISSN/ISBN:0973-4562. View Complete Reference Online information Works that this work references Works that reference this work
Eckhartt, GM and Ruxton, GD (2023). Investigating and preventing scientific misconduct using Benford’s Law. Research Integrity and Peer Review 8(1). DOI:10.1186/s41073-022-00126-w. View Complete Reference Online information Works that this work references Works that reference this work
Erfani, A, Zhang, K and Cui, Q (2021). TAB Bid Irregularity: Data-Driven Model and Its Application. Journal of Management in Engineering 37(5), p. 04021055. DOI:10.1061/(ASCE)ME.1943-5479.0000958. View Complete Reference No online information available Works that this work references No Bibliography works reference this work
Filho, DF, Silva, L and Medeiros, H (2022). “Won’t get fooled again”: statistical fault detection in COVID-19 Latin American data. Globalization and Health 18, pp.105. DOI:10.1186/s12992-022-00899-1. View Complete Reference Online information Works that this work references Works that reference this work
Gupta, S, Singh, VK and Banshal, SK (2023). On the Quality of altmetric data: An exploratory analysis using Benford’s law. Proceedings of 19th International Scientometrics and Informetrics (ISSI) Conference, Indiana, USA . DOI:10.5281/zenodo.8305637. View Complete Reference Online information Works that this work references Works that reference this work
Gupta, S, Singh, VK and Banshal, SK (2024). Altmetric data quality analysis using Benford’s law. Scientometrics 129, pp. 4597–4621. DOI:10.1007/s11192-024-05061-9. View Complete Reference Online information Works that this work references Works that reference this work
Hanci, F (2022). Application of Benford’s law in agricultural production statistics. Journal of the National Science Foundation of Sri Lanka 50 (2), pp. 387-393. DOI:10.4038/jnsfsr.v50i2.10429. 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
Lupi, C (2025). Benford and power law distributions: Representation and simulation. Chaos, Solitons & Fractals 194, pp. 116253 . DOI:10.1016/j.chaos.2025.116253. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Scholes, CA (2023). Applying the significant-digit law to simplify grading of chemical engineering students design projects. Australasian Journal of Engineering Education. DOI:10.1080/22054952.2023.2247292. View Complete Reference Online information Works that this work references Works that reference this work
Schumm, WR, Crawford, DW, Lockett, L, Ateeq, AB and AlRashed, A (2023). Can Retracted Social Science Articles Be Distinguished from Non-Retracted Articles by Some of the Same Authors, Using Benford’s Law or Other Statistical Methods?. Publications 11, 14. DOI:10.3390/publications11010014. View Complete Reference Online information Works that this work references Works that reference this work
Silva, LEdO and Figueiredo, D (2024). A novel approach to evaluate data integrity: evidence from COVID-19 in China. Brazilian Journal of Biometrics 42(1), pp. 78-87. DOI:10.28951/bjb.v42i1.659. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Szabo, JK, Forti, LR and Callaghan, CT (2023). Large biodiversity datasets conform to Benford's law: Implications for assessing sampling heterogeneity. Biological Conservation 280, pp. 109982. DOI:10.1016/j.biocon.2023.109982. View Complete Reference Online information Works that this work references Works that reference this work
Wang, D, Chen, F, Mao, J, Liu, N and Rong, F (2022). Are the official national data credible? Empirical evidence from statistics quality evaluation of China's coal and its downstream industries . Energy Economics, p. 106310. DOI:10.1016/j.eneco.2022.106310. View Complete Reference Online information Works that this work references Works that reference this work