Discovering the global landscape of fraud detection studies: a bibliometric review
| Autor: | Ala'a Zuhair Mansour, Oluwatoyin Muse Johnson Popoola, Aidi Ahmi, Asma Znaimat |
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| Rok vydání: | 2021 |
| Předmět: |
Bibliometric analysis
business.industry Computer science 05 social sciences Scopus Microsoft excel 02 engineering and technology Data science Publish or perish Data visualization 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Citation Law General Economics Econometrics and Finance 050203 business & management |
| Zdroj: | Journal of Financial Crime. 29:701-720 |
| ISSN: | 1359-0790 |
| Popis: | 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 Perish for citation metrics and analysis. Findings In alignment with these research results, the publications on fraud detection studies have been consistently increasing since 2005. India was rated first as the most active country in fraud detection research. Tongji University from China was the most active institution that published significant publications related to fraud detection research. A total of 160 scholars from 89 various countries and 160 different institutions published several fraud detections studies with multi-authors’ participation in different languages. Originality/value To the best of the authors knowledge, this study is the first study to review fraud detections publications in the Scopus science database. |
| Databáze: | OpenAIRE |
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