Discovering the global landscape of fraud detection studies: a bibliometric review

• Main Authors: Popoola, Oluwatoyin Muse Johnson, Mansour, Ala’a Zuhair, Ahmi, Aidi
• Format: Article
• Language: English
• Published: Emerald Publishing Limited 2021
• Subjects: H Social Sciences (General)
• Online Access: https://repo.uum.edu.my/id/eprint/28564/1/Discovering%20the%20global%20landscape%20of%20fraud%20detection%20studies%20a%20bibliometric%20review2021.pdf; https://repo.uum.edu.my/id/eprint/28564/; https://www.emerald.com/insight/1359-0790.htm

Purpose – This paper aims to present a bibliometric analysis of publications from the Scopus database on fraud detection studies. Design/methodology/approach – The current research used Microsoft Excel to conduct the frequency analysis, VOSviewer for data visualisation and Harzing’s Publish or Pe...