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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.

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Davic, RD (2025). Newcomb-Benford number law and ecological processes. PLos One 20(3), pp. e0310205. DOI:doi.org/10.1371/journal.pone.0310205. View Complete Reference Online information Works that this work references No Bibliography works reference this work
de la Rubia, JM (2024). Exposición Sencilla y Ejemplificada de la Ley de Newcomb-Benford para Psicólogos [Simple and Exemplified Exposition of the Newcomb-Benford Law for Psychologists]. Psicumex 14. DOI:10.36793/psicumex.v14i1.648. SPA View Complete Reference Online information Works that this work references No Bibliography works reference this work
Lee, Y, Do, Y, Lineman, M, Joo, G-J and Jo, H (2024). Application of citizen science with the nationwide bird census. Scientific Reports 14, pp.10379. DOI:10.1038/s41598-024-61225-w. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Mir, TA, Ausloos, M, Darzi, MA and Ishtiaq, PM (2026). Significant first digit distribution of Coronal Mass Ejections characteristics. Advances in Space Research 77(12), pp. 12779-12791. DOI:10.1016/j.asr.2026.03.081. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Shim, T, Kim, Z and Jung, J (2023). A Benford’s law‑based framework to determine the threshold of occurrence sites for species distribution modelling from ecological monitoring databases. Scientific Reports 13, pp. 16777 . DOI:10.1038/s41598-023-44010-z. View Complete Reference Online information Works that this work references Works that reference this work
Šinik, B and Tošić, A (2025). Testing life-cycle assessment data quality with Benford’s law reveals geographic variation. Ecological Informatics 90, pp. 103227. DOI:10.1016/j.ecoinf.2025.103227. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Wang, Z, Xu, G and Ren, M (2025). Can attention detect AI-generated text? A novel Benford's law-based approach. Information Processing & Management 62(4), pp. 104139. DOI:10.1016/j.ipm.2025.104139. View Complete Reference Online information Works that this work references No Bibliography works reference this work