Blockchain integration in accounting: the comprehensive bibliometric analysis of trends, themes, and future directions

N.A. Vikas & G. P. Sahu

International Journal of Revenue Management2025https://doi.org/10.1504/ijrm.2025.149698article
ABDC C
Weight
0.50

What the paper says

This paper uses an exhaustive bibliometric analysis to describe the interaction between blockchain technology and accounting, showing trends, themes, and future research directions. Traditional methods of accounting are pivotal for trustworthy business decision-making. They generally fall victim to errors and even fraud. Blockchain technology can revolutionise financial data integrity because it is decentralised, transparent, and secure. Through the R-bibliometric package and visualisation of scientific landscapes by VOSviewer, 492 documents from Scopus and Web of Science are analysed. The results describe that scholarly interest in this topic has increased with an annual growth rate of research of 23.17%. Identifying influential authors, institutions that take the leading place, critical publication, and citation patterns using thematic analysis is to reshaping key themes of literature. Indeed, the analysis upholds blockchain's potential to increase accounting quality and reduce fraud in the accounting field, bringing greater transparency into a domain whose ongoing developments keep reforming it.

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https://doi.org/https://doi.org/10.1504/ijrm.2025.149698

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@article{n.a.2025,
  title        = {{Blockchain integration in accounting: the comprehensive bibliometric analysis of trends, themes, and future directions}},
  author       = {N.A. Vikas & G. P. Sahu},
  journal      = {International Journal of Revenue Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijrm.2025.149698},
}

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Blockchain integration in accounting: the comprehensive bibliometric analysis of trends, themes, and future directions

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.