# Benford’s Law and Fraud Detection

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/benford-s-law-and-fraud-detection/

## Facts

| Field | Value |
| --- | --- |
| Citations | 50,488 |
| Description | This cluster of papers focuses on the statistical analysis and applications of Benford's Law, a phenomenon that describes the frequency distribution of leading digits in many real-life sets of numerical data. The papers cover topics such as fraud detection, election irregularities, data authenticity, financial data analysis, forensic accounting, and the application of Benford's Law to monitor and assess the quality of COVID-19 reporting. |
| Domain | Physical Sciences |
| Field | Mathematics |
| OpenAlex ID | https://openalex.org/T13720 |
| Works | 27,408 |

## Topic researchers

Showing 12 of 20.

- [Edward Witten](https://scholariq.org/researchers/edward-witten/)
- [Bradley Efron](https://scholariq.org/researchers/bradley-efron/)
- [Thomas M. Cover](https://scholariq.org/researchers/thomas-m-cover/)
- [John W. Tukey](https://scholariq.org/researchers/john-w-tukey/)
- [Alessandro Vespignani](https://scholariq.org/researchers/alessandro-vespignani/)
- [J. R. Rice](https://scholariq.org/researchers/j-r-rice/)
- [Bogdan Oancea](https://scholariq.org/researchers/bogdan-oancea/)
- [Frank Wilczek](https://scholariq.org/researchers/frank-wilczek/)
- [I. Khan](https://scholariq.org/researchers/i-khan/)
- [Gordon Murray](https://scholariq.org/researchers/gordon-murray/)
- [Peter A. Lachenbruch](https://scholariq.org/researchers/peter-a-lachenbruch/)
- [Barbara J. McNeil](https://scholariq.org/researchers/barbara-j-mcneil/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.