!! Please regularly visit this page as we keep updating it !!

Latest bibliography of DEA with more than 10,000 articles
Mergoni, A. A. Emrouznejad, and K. De Witte (2025) Fifty years of Data Envelopment Analysis, European Journal of Operational Research, 326 (3): 389-412. https://doi.org/10.1016/j.ejor.2024.12.049.
CLICK HERE to download review of Fifty years of Data Envelopment Analysis
CLICK HERE to download bibliography (1978-2016)
CLICK HERE to download Supplement with list of over 10,000 articles
biblio
- Saen RF (2006). “A Decision Model for Selecting Slightly Non-Homogeneous Technologies.” Appl Math Comput 177(1): 149-158.
- Saen RF (2006). “A Decision Model for Technology Selection in the Existence of Both Cardinal and Ordinal Data.” Appl Math Comput 181(2): 1600-1608.
- Saen RF (2006). “Technologies Ranking in the Presence of Both Cardinal and Ordinal Data.” Appl Math Comput 176(2): 476-487.
- Saen RF, A Memariani and FH Lotfi (2005). “Determining Relative Efficiency of Slightly Non-Homogeneous Decision Making Units by Data Envelopment Analysis: A Case Study in Irost.” Appl Math Comput 165(2): 313-328.
- Ryan MJ (2002). “Constrained Game Approaches to the Systematic Regulation of Land Use Variability.” Annals of Regional Science 36(3): 497.
- Ryan MJ (2002). “Data Envelopment Analysis, Cost Efficiency and Performance Targetting.” J Information and Optimization Sciences 23(2): 241-258.
- Saati Mohtadi S, SA Memariani and GR Jahanshahloo (2002). “Efficiency Analysis and Ranking of DMUs with Fuzzy Data.” Fuzzy Optimization and Decision Making 1: 255-267.
- Ruggiero J, J Miner and L Blanchard (2002). “Measuring Equity of Educational Outcomes in the Presence of Inefficiency.” EJOR 142(3): 642-652.
- Ruggiero J, M Muniz, J Paradi and Y Zijiang (2006). “Evaluating Alternative DEA Models Used to Control for Non-Discretionary Inputs.” Computer and Operations Research 33(5): 1173-1183.
- Ruggiero J and DF Vitaliano (1999). “Assessing the Efficiency of Public Schools Using Data Envelopment Analysis and Frontier Regression.” Contemporary Economic Policy 17(3): 321.














