fraud and anomaly detection research: a bibliometric study

Abstract

Due to the scientific status and the practical consquences of fraud and anomaly detection research, the aim of this study is to uncover the intellectual and conceptual structure of this research field in audit literature. 430 documents( include article, Conference paper, Review, Book chapter, Book, Review, Note, Letter) related to the period between 1979 and 2022 from the Scopus database were analyzed using two bibliometric analysis methods: coword analysis and social network analysis to discover the intellectual and conceptual structure of the field. The findings of the research show that the main and most dominant topics include "fraud and anomalies", "audit and forensic accounting", "data mining, machine learning and data analytics", "risk assessment" and "internal controls and corporate governance". Also, the article "An empirical analysis of the relation between the board of director composition and financial statement fraud" by Beasley (1996) with 1977 citations, the most cited scientific document, and Peter Gottschalk with 6 articles, the United States with 150 documents, "Managerial Auditing" journal with the publication of 22 articles, and "Universiti Teknologi Mara" from