Work

Election Forensics: Quantitative methods for electoral fraud detection

Year: 2018

Type: article

Source: Forensic Science International

DOI: 10.1016/j.forsciint.2018.11.010

Authors: Lucas Lacasa, Juan Fernández-Gracia

Institutions: Queen Mary University of London, Consejo Superior de Investigaciones Científicas, Institute for Cross-Disciplinary Physics and Complex Systems, Universitat de les Illes Balears

Language: English

Topic: Benford’s Law and Fraud Detection

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

Funder: Engineering and Physical Sciences Research Council

Awards: G1225917572, SIG-NET: Exploring the interface between SIGnal processing and NETwork science

OpenAlex ID: W2900773724

FWCI: 1.395

Cites: 21

Cited by: 20

Related to: 10