The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey
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Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
Banker, R. D., Charnes, A., & Cooper, W. W. (1984) · Management Science · doi:10.1287/mnsc.30.9.1078 · Cited by 16,729
An Introduction to Efficiency and Productivity Analysis
(2005) · Springer eBooks · doi:10.1007/b136381 · Cited by 6,909
The Nature of Statistical Learning Theory
Sain, S. R. (1996) · Technometrics · doi:10.1080/00401706.1996.10484565 · Cited by 5,434
An Introduction to Efficiency and Productivity Analysis
Coelli, T., Rao, D. S. P., & Battese, G. E. (1998) · Springer eBooks · doi:10.1007/978-1-4615-5493-6 · Cited by 4,521
Efficiency of financial institutions: International survey and directions for future research
Berger, A. N., & Humphrey, D. B. (1997) · European Journal of Operational Research · doi:10.1016/s0377-2217(96)00342-6 · Cited by 3,482
Estimation and inference in two-stage, semi-parametric models of production processes
Simar, L., & Wilson, P. W. (2007) · Journal of Econometrics · doi:10.1016/j.jeconom.2005.07.009 · Cited by 3,388
Inside the black box: What explains differences in the efficiencies of financial institutions?
Berger, A. N., & Mester, L. J. (1997) · Journal of Banking & Finance · doi:10.1016/s0378-4266(97)00010-1 · Cited by 2,276
INPUTS, OUTPUTS, AND A THEORY OF PRODUCTION AND COST AT DEPOSITORY FINANCIAL INSTITUTIONS
Sealey, C. W., & Lindley, J. T. (1977) · The Journal of Finance · doi:10.1111/j.1540-6261.1977.tb03324.x · Cited by 1,900
Data envelopment analysis (DEA) – Thirty years on
Cook, W. D., & Seiford, L. M. (2009) · European Journal of Operational Research · doi:10.1016/j.ejor.2008.01.032 · Cited by 1,593
Cited by
Benchmarking state-of-the-art classification algorithms for credit scoring: an update of research
Lessmann, S., Baesens, B., Seow, H.-V., & Thomas, L. C. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.05.030 · Cited by 1,284
On big data, artificial intelligence and smart cities
Allam, Z., & Dhunny, Z. A. (2019) · Cities · doi:10.1016/j.cities.2019.01.032 · Cited by 1,178
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019) · Marketing Science · doi:10.1287/mksc.2019.1192 · Cited by 1,262
Artificial intelligence: a survey on evolution, models, applications and future trends
Lu, Y. (2019) · Journal of Management Analytics · doi:10.1080/23270012.2019.1570365 · Cited by 641
Perifanis, N.-A., & Kitsios, F. (2023) · Information · doi:10.3390/info14020085 · Cited by 407
Metadata
- Authors
- Fethi, M. D., & Pasiouras, F.
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2010-07
- Volume
- 204
- Issue
- 2
- Pages
- 189-198
- ISSN
- 0377-2217 (ISSN-L)
- OpenAlex
- W3122779978
- Cited by
- 800
- References
- 74
- FWCI
- 34.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- Fethi, M. D., & Pasiouras, F. (2010). Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2009.08.003
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.