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Two decades of financial statement fraud detection literature review; combination of bibliometric analysis and topic modeling approach

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References

2021How to conduct a bibliometric analysis: An overview and guidelines14,255 cited
2015Bibliometrics: tracking research impact by selecting the appropriate metrics638 cited
2003Causes, consequences, and deterence of financial statement fraud585 cited
2012The Evolution of Fraud Theory547 cited
2019Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach504 cited
2019Smart literature review: a practical topic modelling approach to exploratory literature review455 cited
2009Detecting and predicting financial statement fraud: The effectiveness of the fraud triangle and SAS No. 99431 cited
2003Earnings Manipulation in Failing Firms421 cited
2011Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms393 cited
2014Materiality Guidance of the Major Public Accounting Firms206 cited
2018The role of auditing in the fight against corruption184 cited
2021Fifty years of information management research: A conceptual structure analysis using structural topic modeling167 cited
2021A comprehensive bibliometric analysis of entrepreneurship and crisis literature published from 1984 to 2020141 cited
2010The World Has Changed—Have Analytical Procedure Practices?134 cited

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2021A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis38 cited

Cited by

2025Topic modelling through the bibliometrics lens and its technique32 cited
2024Examining the ability of big data analytics to investigate financial reporting quality: a comprehensive bibliometric analysis22 cited
2025The evolution of university technology transfer research: a text mining approach14 cited
2025A bibliometric analysis of financial fraud exploiting the elderly in the digital age11 cited
2024A PRODUÇÃO CIENTÍFICA SOBRE FRAUDE NO BRASIL: UMA INVESTIGAÇÃO SOB A PERSPECTIVA DA ANÁLISE DE REDES SOCIAIS6 cited
2023Unravelling the Landscape of Mental Accounting Research Using Machine Learning: A Topic Modelling Approach5 cited