| Bertin, M and Lafouge, T (2025). Categorization of scientometric data in a Benfordian context. Quantitative Science Studies. DOI:10.1162/qss_a_00361.
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| Dayaratna, KD (2024). Beyond the Ballot: A Survey of Statistical Methods for Uncovering Election Anomalies. The Heritage Foundation Issue Brief No. 5362.
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| Domínguez- Bustos, AR, Cabrera-Castro, R, Ramos, ML, Abaunza, P and Báez, JC (2024). Using Benford's Law to Detect Possible Biases in Reported Catches of Tropical Tuna From the Indian Ocean. Fisheries Management and Ecology, p. e12749. DOI:10.1111/fme.12749.
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| Kattan, PI (2025). Detecting Fraud in Scientific Data Using Benford’s Law. Posted on ResearchGate.
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| Maza-Quiroga, R, Thurnhofer-Hemsi, K, López-Rodríguez, D and López-Rubio, E (2023). Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit
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| Parreño, SJE (2024). Analyzing crop production statistics of the Philippines using the newcomb-benford law. Multidisciplinary Science Journal 6(6), pp. 2024079–9.. DOI:10.31893/multiscience.2024079.
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| Sinaga, ES and Sudharma, NI (2024). Benford’s law analysis to evaluate the quality data of COVID-19 epidemiological surveillance in Indonesia. International Journal of Public Health Science (IJPHS) 13(1), pp. 7-13. DOI:10.11591/ijphs.v13i1.23437.
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| Sorour, MA, Marey, YA, Halim, ITA and Kasem, MM (2024). Statistical Investigation of Scientific Journals Impact Factors in Relation to Benford' s Law. Proceedings of 2024 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES), Giza, Egypt, pp. 521-524. DOI:10.1109/NILES63360.2024.10753145.
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