
This study presents a comprehensive bibliometric analysis of research on financial fraud, tax tools, and economic security. Using a dataset of articles published between 2016 and 2022, we analyzed keyword co-occurrence, journal impact, citations, and geographical and Institutional patterns. Our results identify the most productive authors and institutions, influential sources, major research themes, and potential future research directions. We find that the research on financial fraud, tax tools, and economic security is a multidisciplinary and international field, with a focus on fraud detection, and national security among others. It was also discovered that the number of publications has significantly increased year after year. Our study provides valuable insights into the current state of research on this topic and identifies opportunities for future research and innovation. The findings of this study have important implications for researchers, practitioners, and policymakers working in the field of financial fraud, tax tools, and economic security.
330, HF5001-6182, HG1501-3550, tax evasion, tax fraud, Revenue. Taxation. Internal revenue, HJ2240-5908, financial fraud, 650, and economic security, економічна безпека, Banking, HD39-40.7, economic security, Capital. Capital investments, податкове шахрайство, tax tools, Business, ухилення від сплати податків, податкові інструменти, фінансове шахрайство
330, HF5001-6182, HG1501-3550, tax evasion, tax fraud, Revenue. Taxation. Internal revenue, HJ2240-5908, financial fraud, 650, and economic security, економічна безпека, Banking, HD39-40.7, economic security, Capital. Capital investments, податкове шахрайство, tax tools, Business, ухилення від сплати податків, податкові інструменти, фінансове шахрайство
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
