Discovering the global landscape of fraud detection studies: a bibliometric review
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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Emerald Publishing Limited
2021
|
| Subjects: | |
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|