Research Article

ARTIFICIAL INTELLIGENCE IN AUDITING AND ACCOUNTING: A BIBLIOMETRIC ANALYSIS

Volume: 28 Number: 3 September 27, 2026
TR EN

ARTIFICIAL INTELLIGENCE IN AUDITING AND ACCOUNTING: A BIBLIOMETRIC ANALYSIS

Abstract

Artificial intelligence (AI) is addressed in accounting and auditing research in relation to financial reporting, assurance services, fraud detection, risk management, and professional decision-making processes. This study combines data source-sensitive bibliometric profiling with VOSviewer-based text network analysis. Records, citations, annual citations, author-focused metrics, and the Age-Weighted Citation Rate accessed via Publish or Perish from Google Scholar, CrossRef, OpenAlex, Scopus, and Semantic Scholar data sources were compared. The findings indicate that bibliometric indicators vary depending on the data source, and that Scopus text networks offer a narrower, source-specific view of the core themes represented in the accessed records.

Keywords

References

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Details

Primary Language

English

Subjects

Accounting, Auditing and Accountability (Other)

Journal Section

Research Article

Publication Date

September 27, 2026

Submission Date

November 30, 2024

Acceptance Date

September 1, 2026

Published in Issue

Year 2026 Volume: 28 Number: 3

APA
Atagan Çetin, A. (2026). ARTIFICIAL INTELLIGENCE IN AUDITING AND ACCOUNTING: A BIBLIOMETRIC ANALYSIS. Muhasebe Bilim Dünyası Dergisi, 28(3), 300-320. https://doi.org/10.31460/mbdd.1591911
AMA
1.Atagan Çetin A. ARTIFICIAL INTELLIGENCE IN AUDITING AND ACCOUNTING: A BIBLIOMETRIC ANALYSIS. MODAV-MBDD. 2026;28(3):300-320. doi:10.31460/mbdd.1591911
Chicago
Atagan Çetin, Aysun. 2026. “ARTIFICIAL INTELLIGENCE IN AUDITING AND ACCOUNTING: A BIBLIOMETRIC ANALYSIS”. Muhasebe Bilim Dünyası Dergisi 28 (3): 300-320. https://doi.org/10.31460/mbdd.1591911.
EndNote
Atagan Çetin A (September 1, 2026) ARTIFICIAL INTELLIGENCE IN AUDITING AND ACCOUNTING: A BIBLIOMETRIC ANALYSIS. Muhasebe Bilim Dünyası Dergisi 28 3 300–320.
IEEE
[1]A. Atagan Çetin, “ARTIFICIAL INTELLIGENCE IN AUDITING AND ACCOUNTING: A BIBLIOMETRIC ANALYSIS”, MODAV-MBDD, vol. 28, no. 3, pp. 300–320, Sept. 2026, doi: 10.31460/mbdd.1591911.
ISNAD
Atagan Çetin, Aysun. “ARTIFICIAL INTELLIGENCE IN AUDITING AND ACCOUNTING: A BIBLIOMETRIC ANALYSIS”. Muhasebe Bilim Dünyası Dergisi 28/3 (September 1, 2026): 300-320. https://doi.org/10.31460/mbdd.1591911.
JAMA
1.Atagan Çetin A. ARTIFICIAL INTELLIGENCE IN AUDITING AND ACCOUNTING: A BIBLIOMETRIC ANALYSIS. MODAV-MBDD. 2026;28:300–320.
MLA
Atagan Çetin, Aysun. “ARTIFICIAL INTELLIGENCE IN AUDITING AND ACCOUNTING: A BIBLIOMETRIC ANALYSIS”. Muhasebe Bilim Dünyası Dergisi, vol. 28, no. 3, Sept. 2026, pp. 300-2, doi:10.31460/mbdd.1591911.
Vancouver
1.Aysun Atagan Çetin. ARTIFICIAL INTELLIGENCE IN AUDITING AND ACCOUNTING: A BIBLIOMETRIC ANALYSIS. MODAV-MBDD. 2026 Sep. 1;28(3):300-2. doi:10.31460/mbdd.1591911

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The author(s) should disclose the use of generative Artificial Intelligence (AI) and AI-assisted tools in design and implementation of the research. Such use need to be disclosed within the methodology section of the manuscript. Use of AI does not preclude the manuscript from publication, rather provides a transparent picture of the research.