[1] Emrouznejad, A., Parker, B. R., & Tavares, G. (2008). Evaluation of research in efficiency and productivity: a survey and analysis of the first 30 years of scholarly literature in DEA. Socio-economic planning sciences, 42(3), 151–7.
[2] Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429–444.
[3] Banker, R.D. Charnes, A., & Cooper, A. A. (1984). Models for estimation of technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078–1092.
[4] Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European journal of operational research, 130(3), 498–509.
[7] Ebrahimzadeh Shermeh, H., Alavidoost, M. H., & Darvishinia. R. (2018). Evaluating the efficiency of power companies using data envelopment analysis based on SBM models: a case study in power industry of Iran. Journal of applied research on industrial engineering, 5(4), 286–295.
[8] Färe, R. & Grosskopf, S. (1996). Intertemporal production frontiers: with dynamic DEA. Norwell: Kluwer.
[9] Bogetoft, P., F¨are, R., Grosskopf, S., Hayes, K., & Taylor, L. (2008). Network DEA: some applications and illustrations, DEA symposium 2008 (pp. 5-12). Seikei University, Japan.
[10] Färe, R., & Grosskopf, S. (1997). Intertemporal production frontiers: with dynamic DEA. Journal of the operational research society, 48(6), 656-656.
[11] Nemoto, J., & Goto, M. (1999). Dynamic data envelopment analysis modeling intertemporal behavior of a firm in the presence of productive inefficiencies. Economic letters, 64(1), 51–6.
[12] Sueyoshi, T., & Sekitani, K. (2005). Returns to scale in dynamic DEA. European journal of operational research, 161(2), 536–44.
[13] Park, K. S., & Park K. (2009). Measurement of multi period aggregative efficiency. European journal of operational research, 193(2), 567–80.
[14] Chang, H., Choy, H. L., Cooper, W.W., & Ruefli, T.W. (2009). Using malmquist indexes to measure changes in the productivity and efficiency of US accounting firms before and after the Sarbanes, Oxley Act. Omega, 37(5), 951–60.
[15] Sengupta, k. (1999). A dynamic efficiency model using data envelopment analysis. International journal of production economics, 62(3), 209-218.
[16] Tone, K. & Tsutsui, M. (2010). Dynamic DEA: A slacks-based measure approach. Omega, 38(3), 145-156.
[17] Thanassoulis, E. (2005). Introduction to the theory and application of data envelopment analysis: a foundation text with integrated software. Kluwer Academic Publishers.
[18] Hollingsworth, B., & Smith, P. C. (2003). The use of ratios in data envelopment analysis. Applied economics letters, 10(11), 733–735.
[19] Despic, O., Despic, M., & Paradi, J. C. (2007). DEA-R: Ratio-based comparative efficiency model, its mathematical relation to DEA and its use in applications. Journal of productivity analysis, 28(1-2), 33–46.
[20] Wei, C. K., Chen, L. C., Li, R. K., & Tsai, C. H. (2011). Using the DEA-R model in the hospital industry to study the pseudo-inefficiency problem. Expert systems with applications, 38(3), 2172–2176.
[21] Wei, C. K., Chen, L. C., Li, R. K., & Tsai, C. H. (2011). Exploration of efficiency under estimation of CCR model: Based on medical sectors with DEA-R model. Expert systems with applications, 38(4), 3155–3160.
[22] Emrouznejad, A., & Amin, G. R. (2009). DEA models for ratio data: Convexity consideration. Applied mathematical modelling, 33(1), 486–498.
[23] Khoshnevis, P., & Teirlinck, P. (2018). Performance evaluation of R&D active firms. Socio-economic planning sciences, 61(1), 16–28.
[24] Olesen, O. B., Petersen, N. C., & Podinovski, V. V. (2015). Efficiency analysis with ratio measures. European journal of operational research, 245(2), 446–462.
[25] Gidion, D. K., Hong, J., Adams, M. Z. A., & Khoveyni, M. (2019). Network DEA models for assessing urban water utility efficiency. Utilities policy, 57, 48–58.
[26] Mozaffari, M.R., Kamyab, P., Jablonsky, J., & Gerami. J. (2014). Cost and revenue efficiency in DEA-R models. Computers & industrial engineering, 78, 188–194.
[27] Mozaffari. M. R., Gerami, J., & Jablonsky. J. (2014). Relationship between DEA models without explicit inputs and DEA-R models. Central European journal of operations research, 22(1), 1–12.
[28] Tone, K., & Tsutsui, M. (2014). Dynamic DEA with network structure: A slacks-based measure approach. Omega, 42(1), 124-131.
[29] Cooper, W.W., Seiford, L.M., & Tone, K. (2007). Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. Springer.