Data Envelopment Analysis Journal > Vol 5 > Issue 2

DEA in Banking: Analysis and Visualization of Bibliometric Data

Violeta Cvetkoska, Faculty of Economics, Ss. Cyril and Methodius University in Skopje, North Macedonia, , Gordana Savic, Faculty of Organizational Sciences, University of Belgrade, Serbia,
Suggested Citation
Violeta Cvetkoska and Gordana Savic (2021), "DEA in Banking: Analysis and Visualization of Bibliometric Data", Data Envelopment Analysis Journal: Vol. 5: No. 2, pp 455-485.

Publication Date: 17 Aug 2021
© 2021 V. Cvetkoska and G. Savic
Performance measurement,  Financial markets
Data envelopment analysisbankingbibliometric datavisualization


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In this article:
1 Introduction 
2 Data and Tools 
3 Results on DEA Articles in Banking 
4 Analysis of Keywords in DEA Articles in Banking 
5 Conclusion 


Data Envelopment Analysis (DEA) is a popular non-parametric frontier methodology for measuring the efficiency of decision-making units (DMUs). DEA has been used widely in the banking industry. There is no reference to country co-authorship and keywords co-occurrence network visualization of DEA in the banking literature. In this study, we examine the DEA literature in banking, taking into account articles published in peer-reviewed journals listed in the Scopus database. We have performed an analysis and visualization of bibliometric data related to 791 DEA articles in banking in the period of 34 years (1986–2019). We show the annual trends of published DEA banking articles, the top journals and authors, citation analysis, and country co-authorship. We have also performed an in-depth keyword visualization analysis and discussed the future trends of DEA in banking.