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Financial Markets, Institutions and Risks
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Exploring Financial Fraud, Tax Tools, and Economic Security Research: Comprehensive Bibliometric Analysis

Authors: Kofi Nyantakyi Asare; Yaryna Samusevych;

Exploring Financial Fraud, Tax Tools, and Economic Security Research: Comprehensive Bibliometric Analysis

Abstract

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.

Keywords

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

  • BIP!
    Impact byBIP!
    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%
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Green
gold