- Published
- 2021-08-31
- Venue
- Journal of Behavioral and Experimental Finance, vol. 32, pp. 100577
- Cited by
- 721
- Open access
- Yes, green
- DOI
- 10.1016/j.jbef.2021.100577
Cite this paper
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- APA 7
Goodell, J. W., Kumar, S., Lim, W. M., & Pattnaik, D. (2021). Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis. Journal of Behavioral and Experimental Finance, 32, 100577. https://doi.org/10.1016/j.jbef.2021.100577
- MLA 9
Goodell, John W., et al. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis." Journal of Behavioral and Experimental Finance, vol. 32, 2021, pp. 100577, https://doi.org/10.1016/j.jbef.2021.100577.
- Chicago
Goodell, John W., Satish Kumar, Weng Marc Lim, and Debidutta Pattnaik. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis." Journal of Behavioral and Experimental Finance 32 (2021): 100577. https://doi.org/10.1016/j.jbef.2021.100577.
- GOST
Goodell J. W., Kumar S., Lim W. M. [и др.] Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis // Journal of Behavioral and Experimental Finance. — 2021. — Vol. 32. — P. 100577. — URL: https://doi.org/10.1016/j.jbef.2021.100577
- BibTeX
@article{goodell2021artificial, title = {{Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis}}, author = {John W. Goodell and Satish Kumar and Weng Marc Lim and Debidutta Pattnaik}, journal = {Journal of Behavioral and Experimental Finance}, year = {2021}, volume = {32}, pages = {100577}, doi = {10.1016/j.jbef.2021.100577}, url = {https://doi.org/10.1016/j.jbef.2021.100577} }- RIS
TY - JOUR AU - Goodell, John W. AU - Kumar, Satish AU - Lim, Weng Marc AU - Pattnaik, Debidutta TI - Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis JO - Journal of Behavioral and Experimental Finance VL - 32 SP - 100577 PY - 2021 DA - 2021/08/31 DO - 10.1016/j.jbef.2021.100577 UR - https://doi.org/10.1016/j.jbef.2021.100577 ER -