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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Emerald Publishing Limited
2021
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| Online Access: | https://repo.uum.edu.my/id/eprint/28564/1/Discovering%20the%20global%20landscape%20of%20fraud%20detection%20studies%20a%20bibliometric%20review2021.pdf |
| _version_ | 1803629492314308608 |
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| author | Popoola, Oluwatoyin Muse Johnson Mansour, Ala’a Zuhair Ahmi, Aidi |
| author_facet | Popoola, Oluwatoyin Muse Johnson Mansour, Ala’a Zuhair Ahmi, Aidi |
| author_sort | Popoola, Oluwatoyin Muse Johnson |
| collection | UUM |
| description | 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. |
| first_indexed | 2024-07-04T06:38:43Z |
| format | Article |
| id | uum-28564 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:38:43Z |
| publishDate | 2021 |
| publisher | Emerald Publishing Limited |
| record_format | dspace |
| spelling | uum-285642022-03-06T12:11:57Z https://repo.uum.edu.my/id/eprint/28564/ Discovering the global landscape of fraud detection studies: a bibliometric review Popoola, Oluwatoyin Muse Johnson Mansour, Ala’a Zuhair Ahmi, Aidi 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. Emerald Publishing Limited 2021 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/28564/1/Discovering%20the%20global%20landscape%20of%20fraud%20detection%20studies%20a%20bibliometric%20review2021.pdf Popoola, Oluwatoyin Muse Johnson and Mansour, Ala’a Zuhair and Ahmi, Aidi (2021) Discovering the global landscape of fraud detection studies: a bibliometric review. Journal of Financial Crime. pp. 1-20. ISSN 1359-079 https://www.emerald.com/insight/1359-0790.htm DOI 10.1108/JFC-03-2021-0052 DOI 10.1108/JFC-03-2021-0052 |
| spellingShingle | Popoola, Oluwatoyin Muse Johnson Mansour, Ala’a Zuhair Ahmi, Aidi Discovering the global landscape of fraud detection studies: a bibliometric review |
| title | Discovering the global landscape
of fraud detection studies:
a bibliometric review |
| title_full | Discovering the global landscape
of fraud detection studies:
a bibliometric review |
| title_fullStr | Discovering the global landscape
of fraud detection studies:
a bibliometric review |
| title_full_unstemmed | Discovering the global landscape
of fraud detection studies:
a bibliometric review |
| title_short | Discovering the global landscape
of fraud detection studies:
a bibliometric review |
| title_sort | discovering the global landscape of fraud detection studies a bibliometric review |
| url | https://repo.uum.edu.my/id/eprint/28564/1/Discovering%20the%20global%20landscape%20of%20fraud%20detection%20studies%20a%20bibliometric%20review2021.pdf |
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