Thirty Years of The Australian Accounting Review: A Bibliometric Analysis
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DOI: 10.1111/auar.12332
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Citations
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Cited by:
- Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
- Fabian Jintae Froese & Ashish Malik & Satish Kumar & Saumyaranjan Sahoo, 2022. "Asian business and management: review and future directions," Asian Business & Management, Palgrave Macmillan, vol. 21(5), pages 657-689, November.
- Pattnaik, Debidutta & Hassan, M. Kabir & Dsouza, Arun & Tiwari, Aviral & Devji, Shridev, 2023. "Ex-post facto analysis of cryptocurrency literature over a decade using bibliometric technique," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
- Michael Bradbury & Bryan Howieson, 2021. "Editorial: Australian Accounting Review Reaches A 30‐Year Milestone," Australian Accounting Review, CPA Australia, vol. 31(2), pages 77-78, June.
- Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
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