Majid Soleimani-damaneh

Personal Details

First Name:	Majid
Middle Name:
Last Name:	Soleimani-damaneh
Suffix:
RePEc Short-ID:	pso344
	[This author has chosen not to make the email address public]

Affiliation

Kauppakorkeakoulu
Aalto-yliopisto

Helsinki, Finland
http://biz.aalto.fi/
RePEc:edi:hkkkkfi (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. M. Soleimani-damaneh, 2013. "Another approach for estimating RTS in dynamic DEA," Journal of Productivity Analysis, Springer, vol. 39(1), pages 75-81, February.

   Cited by:

   1. Jahanshahloo, G.R. & Soleimani-damaneh, M. & Ghobadi, S., 2015. "Inverse DEA under inter-temporal dependence using multiple-objective programming," European Journal of Operational Research, Elsevier, vol. 240(2), pages 447-456.
   2. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
   3. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
   4. Ching-Cheng Lu & Liang-Chun Lu, 2019. "Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis," Energy & Environment, , vol. 30(1), pages 27-43, February.
   5. Wei-Kang Wang & Irene Wei Kiong Ting & Kuo-Cheng Kuo & Qian Long Kweh & Yan-Heng Lin, 2018. "Corporate diversification and efficiency: evidence from Taiwanese top 100 manufacturing firms," Operational Research, Springer, vol. 18(1), pages 187-203, April.
   6. Dan Wu & Ching-Cheng Lu & Xiang Chen & Pei-Chieh Tu & An-Chi Yang & Chih-Yu Yang, 2021. "Evaluating the Dynamic Energy Production Efficiency in APEC Economies," Energies, MDPI, vol. 14(14), pages 1-20, July.
   7. Khosro Soleimani-Chamkhorami & Saeid Ghobadi, 2021. "Cost-efficiency under inter-temporal dependence," Annals of Operations Research, Springer, vol. 302(1), pages 289-312, July.
   8. S. Ghobadi & G. R. Jahanshahloo & F. Hosseinzadeh Lotfi & M. Rostamy-Malkhalifeh, 2018. "Efficiency Measure Under Inter-Temporal Dependence," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 657-675, March.

2. Korhonen, Pekka J. & Soleimani-damaneh, Majid & Wallenius, Jyrki, 2013. "On ratio-based RTS determination: An extension," European Journal of Operational Research, Elsevier, vol. 231(1), pages 242-243.

   Cited by:

   1. Alirezaee, Mohammadreza & Hajinezhad, Ensie & Paradi, Joseph C., 2018. "Objective identification of technological returns to scale for data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 266(2), pages 678-688.

3. M. Soleimani-damaneh, 2012. "Duality for optimization problems in Banach algebras," Journal of Global Optimization, Springer, vol. 54(2), pages 375-388, October.

   Cited by:

   1. S. K. Mishra & Vinay Singh & Vivek Laha, 2016. "On duality for mathematical programs with vanishing constraints," Annals of Operations Research, Springer, vol. 243(1), pages 249-272, August.
   2. Valeriano Oliveira & Geraldo Silva, 2013. "New optimality conditions for nonsmooth control problems," Journal of Global Optimization, Springer, vol. 57(4), pages 1465-1484, December.

4. M. Soleimani-damaneh, 2012. "Characterizations and applications of generalized invexity and monotonicity in Asplund spaces," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 592-613, October.

   Cited by:

   1. Bhuwan Chandra Joshi & Murari Kumar Roy & Abdelouahed Hamdi, 2024. "On Semi-Infinite Optimization Problems with Vanishing Constraints Involving Interval-Valued Functions," Mathematics, MDPI, vol. 12(7), pages 1-19, March.

5. Korhonen, Pekka J. & Soleimani-damaneh, Majid & Wallenius, Jyrki, 2011. "Ratio-based RTS determination in weight-restricted DEA models," European Journal of Operational Research, Elsevier, vol. 215(2), pages 431-438, December.

   Cited by:

   1. Toshiyuki Sueyoshi & Ruchuan Zhang & Aijun Li, 2023. "Measuring and Analyzing Operational Efficiency and Returns to Scale in a Time Horizon: Assessment of China’s Electricity Generation & Transmission at Provincial Levels," Energies, MDPI, vol. 16(2), pages 1-23, January.
   2. Amin Mostafaee & Majid Soleimani-Damaneh, 2016. "Some Conditions for Characterizing Anchor Points," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(02), pages 1-17, April.
   3. Korhonen, Pekka J. & Soleimani-damaneh, Majid & Wallenius, Jyrki, 2013. "On ratio-based RTS determination: An extension," European Journal of Operational Research, Elsevier, vol. 231(1), pages 242-243.
   4. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
   5. Victor V. Podinovski & Robert G. Chambers & Kazim Baris Atici & Iryna D. Deineko, 2016. "Marginal Values and Returns to Scale for Nonparametric Production Frontiers," Operations Research, INFORMS, vol. 64(1), pages 236-250, February.
   6. Haelermans, Carla & Ruggiero, John, 2013. "Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools," European Journal of Operational Research, Elsevier, vol. 227(1), pages 174-181.
   7. Alirezaee, Mohammadreza & Hajinezhad, Ensie & Paradi, Joseph C., 2018. "Objective identification of technological returns to scale for data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 266(2), pages 678-688.

6. Soleimani-damaneh, M. & Mostafaee, A., 2009. "Stability of the classification of returns to scale in FDH models," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1223-1228, August.

   Cited by:

   1. Hien Thu Pham & Shino Takayama, 2017. "Revisiting the “Missing Middle”: Productivity Analysis," Discussion Papers Series 580, School of Economics, University of Queensland, Australia.
   2. Geraldo Souza & Eliane Gonçalves Gomes & Eliseu Roberto Alves, 2022. "Two-part fractional regression model with conditional FDH responses: an application to Brazilian agriculture," Annals of Operations Research, Springer, vol. 314(2), pages 393-409, July.
   3. Amin Mostafaee & Majid Soleimani-Damaneh, 2016. "Some Conditions for Characterizing Anchor Points," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(02), pages 1-17, April.
   4. Cesaroni, Giovanni & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2017. "Global and local scale characteristics in convex and nonconvex nonparametric technologies: A first empirical exploration," European Journal of Operational Research, Elsevier, vol. 259(2), pages 576-586.
      • Giovanni Cesaroni & Kristiaan Kerstens & Ignace Van De Woestyne, 2017. "Global and local scale characteristics in convex and nonconvex nonparametric technologies: A first empirical exploration," Post-Print hal-01533520, HAL.
   5. Farzaneh Asadi & Sohrab Kordrostami & Alireza Amirteimoori & Morteza Bazrafshan, 2023. "Inverse data envelopment analysis without convexity: double frontiers," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(1), pages 335-354, June.
   6. Tavakoli, Ibrahim M. & Mostafaee, Amin, 2019. "Free disposal hull efficiency scores of units with network structures," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1027-1036.
   7. Adel Hatami-Marbini & Zahra Ghelej Beigi & Jens Leth Hougaard & Kobra Gholami, 2014. "Estimating Returns to Scale in Imprecise Data Envelopment Analysis," MSAP Working Paper Series 07_2014, University of Copenhagen, Department of Food and Resource Economics.
   8. Soleimani-damaneh, Majid & Mostafaee, Amin, 2015. "Identification of the anchor points in FDH models," European Journal of Operational Research, Elsevier, vol. 246(3), pages 936-943.

7. Zarepisheh, M. & Soleimani-damaneh, M., 2009. "A dual simplex-based method for determination of the right and left returns to scale in DEA," European Journal of Operational Research, Elsevier, vol. 194(2), pages 585-591, April.

   Cited by:

   1. Amin Mostafaee & Majid Soleimani-Damaneh, 2016. "Some Conditions for Characterizing Anchor Points," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(02), pages 1-17, April.
   2. Adel Hatami-Marbini & Zahra Ghelej Beigi & Jens Leth Hougaard & Kobra Gholami, 2014. "Estimating Returns to Scale in Imprecise Data Envelopment Analysis," MSAP Working Paper Series 07_2014, University of Copenhagen, Department of Food and Resource Economics.
   3. Zaiwu Gong & Xiaoqing Chen, 2017. "Analysis of Interval Data Envelopment Efficiency Model Considering Different Distribution Characteristics—Based on Environmental Performance Evaluation of the Manufacturing Industry," Sustainability, MDPI, vol. 9(12), pages 1-25, November.

8. Soleimani-damaneh, M. & Mostafaee, A., 2008. "A comment on "Returns to scale and scale elasticity in data envelopment analysis"," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1179-1181, February.

   Cited by:

   1. Adel Hatami-Marbini & Zahra Ghelej Beigi & Jens Leth Hougaard & Kobra Gholami, 2014. "Estimating Returns to Scale in Imprecise Data Envelopment Analysis," MSAP Working Paper Series 07_2014, University of Copenhagen, Department of Food and Resource Economics.
   2. M. Soleimani-damaneh, 2013. "Another approach for estimating RTS in dynamic DEA," Journal of Productivity Analysis, Springer, vol. 39(1), pages 75-81, February.

9. Jahanshahloo, G.R. & Soleimani-damaneh, M. & Mostafaee, A., 2008. "A simplified version of the DEA cost efficiency model," European Journal of Operational Research, Elsevier, vol. 184(2), pages 814-815, January.

   Cited by:

   1. Walter Briec & Kristiaan Kerstens & Ignace Van de Woestyne, 2013. "Nonparametric cost and revenue functions under constant economies of scale: An enumeration approach for the single output or input case," Working Papers 2013-ECO-22, IESEG School of Management.
   2. Matthews, Kent & Xiao, Zhiguo & Zhang, Xu, 2009. "Rational Cost Inefficiency in Chinese Banks," Cardiff Economics Working Papers E2009/13, Cardiff University, Cardiff Business School, Economics Section.
      • Kent Matthews & Zhiguo Xiao & Xu Zhang, 2009. "Rational Cost Inefficiency in Chinese Banks," Working Papers 292009, Hong Kong Institute for Monetary Research.
   3. Fang, Lei & Li, Hecheng, 2012. "A comment on “cost efficiency in data envelopment analysis with data uncertainty”," European Journal of Operational Research, Elsevier, vol. 220(2), pages 588-590.
   4. Sahoo, Biresh K. & Mehdiloozad, Mahmood & Tone, Kaoru, 2014. "Cost, revenue and profit efficiency measurement in DEA: A directional distance function approach," European Journal of Operational Research, Elsevier, vol. 237(3), pages 921-931.
   5. Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2006. "Allocative efficiency measurement revisited: do we really need input prices?," Freiberg Working Papers 2006/04, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
      • Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2006. "Allocative efficiency measurement revisited: Do we really need input prices?," Working Paper Series 2006,7, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
      • Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2008. "Allocative efficiency measurement revisited--Do we really need input prices?," Economic Modelling, Elsevier, vol. 25(5), pages 1093-1109, September.
      • Oleg Badunenko & Michael Fritsch & Andreas Stephan, 2006. "Allocative Efficiency Measurement Revisited: Do We Really Need Input Prices?," Discussion Papers of DIW Berlin 591, DIW Berlin, German Institute for Economic Research.
   6. Fang, Lei & Li, Hecheng, 2015. "Cost efficiency in data envelopment analysis under the law of one price," European Journal of Operational Research, Elsevier, vol. 240(2), pages 488-492.
   7. Effendy & M Fardhal Pratama & Rustam Abdul Rauf & Made Antara & Muhammad Basir-Cyio & Mahfudz & Muhardi, 2019. "Factors influencing the efficiency of cocoa farms: A study to increase income in rural Indonesia," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-15, April.
   8. Lei Fang & Hecheng Li, 2013. "Lower bound of cost efficiency measure in DEA with incomplete price information," Journal of Productivity Analysis, Springer, vol. 40(2), pages 219-226, October.
   9. Amin Mostafaee & Milan Hladík, 2020. "Optimal value bounds in interval fractional linear programming and revenue efficiency measuring," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(3), pages 963-981, September.
   10. Alzamora, Rosa M. & Apiolaza, Luis A., 2013. "A DEA approach to assess the efficiency of radiata pine logs to produce New Zealand structural grades," Journal of Forest Economics, Elsevier, vol. 19(3), pages 221-233.
   11. Mostafaee, A. & Saljooghi, F.H., 2010. "Cost efficiency measures in data envelopment analysis with data uncertainty," European Journal of Operational Research, Elsevier, vol. 202(2), pages 595-603, April.
   12. Rashed Khanjani Shiraz & Adel Hatami-Marbini & Ali Emrouznejad & Hirofumi Fukuyama, 2020. "Chance-constrained cost efficiency in data envelopment analysis model with random inputs and outputs," Operational Research, Springer, vol. 20(3), pages 1863-1898, September.
   13. M Soleimani-damaneh, 2009. "A fast algorithm for determining some characteristics in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1528-1534, November.

10. Soleimani-damaneh, M., 2008. "Infinite (semi-infinite) problems to characterize the optimality of nonlinear optimization problems," European Journal of Operational Research, Elsevier, vol. 188(1), pages 49-56, July.

    Cited by:

    1. M. Soleimani-damaneh, 2012. "Characterizations and applications of generalized invexity and monotonicity in Asplund spaces," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 592-613, October.
    2. He, Li & Huang, Guo H. & Lu, Hongwei, 2011. "Bivariate interval semi-infinite programming with an application to environmental decision-making analysis," European Journal of Operational Research, Elsevier, vol. 211(3), pages 452-465, June.
    3. Alireza Kabgani & Majid Soleimani-damaneh & Moslem Zamani, 2017. "Optimality conditions in optimization problems with convex feasible set using convexificators," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 86(1), pages 103-121, August.
    4. M. Soleimani-damaneh, 2012. "Duality for optimization problems in Banach algebras," Journal of Global Optimization, Springer, vol. 54(2), pages 375-388, October.

11. Hadi-Vencheh, Abdollah & Foroughi, Ali Asghar & Soleimani-damaneh, Majid, 2008. "A DEA model for resource allocation," Economic Modelling, Elsevier, vol. 25(5), pages 983-993, September.

    Cited by:

    1. Jahanshahloo, G.R. & Soleimani-damaneh, M. & Ghobadi, S., 2015. "Inverse DEA under inter-temporal dependence using multiple-objective programming," European Journal of Operational Research, Elsevier, vol. 240(2), pages 447-456.
    2. Qingxian An & Xuyang Liu & Yongli Li & Beibei Xiong, 2019. "Resource planning of Chinese commercial banking systems using two-stage inverse data envelopment analysis with undesirable outputs," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-20, June.
    3. Xiaoyin Hu & Jianshu Li & Xiaoya Li & Jinchuan Cui, 2020. "A Revised Inverse Data Envelopment Analysis Model Based on Radial Models," Mathematics, MDPI, vol. 8(5), pages 1-17, May.
    4. Ane Elixabete Ripoll-Zarraga & Sebastián Lozano, 2020. "A centralised DEA approach to resource reallocation in Spanish airports," Annals of Operations Research, Springer, vol. 288(2), pages 701-732, May.
    5. Farzaneh Asadi & Sohrab Kordrostami & Alireza Amirteimoori & Morteza Bazrafshan, 2023. "Inverse data envelopment analysis without convexity: double frontiers," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(1), pages 335-354, June.
    6. Le, Minh Hanh & Afsharian, Mohsen & Ahn, Heinz, 2021. "Inverse Frontier-based Benchmarking for Investigating the Efficiency and Achieving the Targets in the Vietnamese Education System," Omega, Elsevier, vol. 103(C).
    7. Wen-Chi Yang & Wen-Min Lu, 2023. "Achieving Net Zero—An Illustration of Carbon Emissions Reduction with A New Meta-Inverse DEA Approach," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    8. Sabri Boubaker & T.D.Q. Le & T. Ngo, 2023. "Managing Bank Performance under COVID-19: A Novel Inverse DEA Efficiency Approach," Post-Print hal-04435441, HAL.
    9. Zuoren Sun & Rundong Luo & Dequn Zhou, 2015. "Optimal Path for Controlling Sectoral CO 2 Emissions Among China’s Regions: A Centralized DEA Approach," Sustainability, MDPI, vol. 8(1), pages 1-20, December.
    10. Gholam R. Amin & Ali Emrouznejad & Said Gattoufi, 2017. "Modelling generalized firms’ restructuring using inverse DEA," Journal of Productivity Analysis, Springer, vol. 48(1), pages 51-61, August.
    11. Gholam R. Amin & Mustapha Ibn Boamah, 2020. "A new inverse DEA cost efficiency model for estimating potential merger gains: a case of Canadian banks," Annals of Operations Research, Springer, vol. 295(1), pages 21-36, December.
    12. Lim, Dong-Joon, 2016. "Inverse DEA with frontier changes for new product target setting," European Journal of Operational Research, Elsevier, vol. 254(2), pages 510-516.
    13. Mehdi Soltanifar & Farhad Hosseinzadeh Lotfi & Hamid Sharafi & Sebastián Lozano, 2022. "Resource allocation and target setting: a CSW–DEA based approach," Annals of Operations Research, Springer, vol. 318(1), pages 557-589, November.
    14. Soleimani-damaneh, Majid & Mostafaee, Amin, 2015. "Identification of the anchor points in FDH models," European Journal of Operational Research, Elsevier, vol. 246(3), pages 936-943.
    15. Ali Asghar Foroughi & Roohollah Abbasi Shureshjani, 2017. "Solving generalized fuzzy data envelopment analysis model: a parametric approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(4), pages 889-905, December.

12. Zarepisheh, M. & Soleimani-damaneh, M., 2008. "Global variation of outputs with respect to the variation of inputs in performance analysis; generalized RTS," European Journal of Operational Research, Elsevier, vol. 186(2), pages 786-800, April.

    Cited by:

    1. Soleimani-damaneh, M. & Mostafaee, A., 2009. "Stability of the classification of returns to scale in FDH models," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1223-1228, August.
    2. M. Soleimani-damaneh, 2013. "Another approach for estimating RTS in dynamic DEA," Journal of Productivity Analysis, Springer, vol. 39(1), pages 75-81, February.
    3. Korhonen, Pekka J. & Soleimani-damaneh, Majid & Wallenius, Jyrki, 2011. "Ratio-based RTS determination in weight-restricted DEA models," European Journal of Operational Research, Elsevier, vol. 215(2), pages 431-438, December.
    4. M Soleimani-damaneh, 2009. "A fast algorithm for determining some characteristics in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1528-1534, November.

13. Soleimani-damaneh, M. & Jahanshahloo, G.R. & Reshadi, M., 2006. "On the estimation of returns-to-scale in FDH models," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1055-1059, October.

    Cited by:

    1. Geraldo Souza & Eliane Gonçalves Gomes & Eliseu Roberto Alves, 2022. "Two-part fractional regression model with conditional FDH responses: an application to Brazilian agriculture," Annals of Operations Research, Springer, vol. 314(2), pages 393-409, July.
    2. Zarepisheh, M. & Soleimani-damaneh, M., 2008. "Global variation of outputs with respect to the variation of inputs in performance analysis; generalized RTS," European Journal of Operational Research, Elsevier, vol. 186(2), pages 786-800, April.
    3. Cesaroni, Giovanni & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2017. "Global and local scale characteristics in convex and nonconvex nonparametric technologies: A first empirical exploration," European Journal of Operational Research, Elsevier, vol. 259(2), pages 576-586.
       • Giovanni Cesaroni & Kristiaan Kerstens & Ignace Van De Woestyne, 2017. "Global and local scale characteristics in convex and nonconvex nonparametric technologies: A first empirical exploration," Post-Print hal-01533520, HAL.
    4. Tavakoli, Ibrahim M. & Mostafaee, Amin, 2019. "Free disposal hull efficiency scores of units with network structures," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1027-1036.
    5. Soleimani-damaneh, M. & Mostafaee, A., 2009. "Stability of the classification of returns to scale in FDH models," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1223-1228, August.
    6. Briec, Walter & Liang, Qi Bin, 2011. "On some semilattice structures for production technologies," European Journal of Operational Research, Elsevier, vol. 215(3), pages 740-749, December.
    7. M. Soleimani-damaneh, 2013. "Another approach for estimating RTS in dynamic DEA," Journal of Productivity Analysis, Springer, vol. 39(1), pages 75-81, February.
    8. Xiao, Helu & Zhou, Zhongbao & Ren, Teng & Liu, Wenbin, 2022. "Estimation of portfolio efficiency in nonconvex settings: A free disposal hull estimator with non-increasing returns to scale," Omega, Elsevier, vol. 111(C).
    9. Zarepisheh, M. & Soleimani-damaneh, M., 2009. "A dual simplex-based method for determination of the right and left returns to scale in DEA," European Journal of Operational Research, Elsevier, vol. 194(2), pages 585-591, April.
    10. Korhonen, Pekka J. & Soleimani-damaneh, Majid & Wallenius, Jyrki, 2011. "Ratio-based RTS determination in weight-restricted DEA models," European Journal of Operational Research, Elsevier, vol. 215(2), pages 431-438, December.
    11. Giovanni Cesaroni & Kristiaan Kerstens & Ignace Van de Woestyne, 2017. "Estimating scale economies in non-convex production models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1442-1451, November.
        • Giovanni Cesaroni & Kristiaan Kerstens & Ignace van de Woestyne, 2017. "Estimating scale economies in non-convex production models," Post-Print hal-01744569, HAL.
    12. Peixin Duan, 2022. "How large of a grant size is appropriate? Evidence from the National Natural Science Foundation of China," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-14, February.
    13. Podinovski, Victor V. & Bouzdine-Chameeva, Tatiana, 2019. "Cone extensions of polyhedral production technologies," European Journal of Operational Research, Elsevier, vol. 276(2), pages 736-743.
    14. Cesaroni, Giovanni & Giovannola, Daniele, 2015. "Average-cost efficiency and optimal scale sizes in non-parametric analysis," European Journal of Operational Research, Elsevier, vol. 242(1), pages 121-133.
    15. Soleimani-damaneh, Majid & Mostafaee, Amin, 2015. "Identification of the anchor points in FDH models," European Journal of Operational Research, Elsevier, vol. 246(3), pages 936-943.
    16. Alirezaee, Mohammadreza & Hajinezhad, Ensie & Paradi, Joseph C., 2018. "Objective identification of technological returns to scale for data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 266(2), pages 678-688.
    17. M Soleimani-damaneh, 2009. "A fast algorithm for determining some characteristics in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1528-1534, November.

14. Soleimani-damaneh, M. & Jahanshahloo, G.R. & Foroughi, A.A., 2006. "A comment on "Measuring super-efficiency in DEA in the presence of infeasibility"," European Journal of Operational Research, Elsevier, vol. 170(1), pages 323-325, April.

    Cited by:

    1. Ghasemi, M.-R. & Ignatius, Joshua & Emrouznejad, Ali, 2014. "A bi-objective weighted model for improving the discrimination power in MCDEA," European Journal of Operational Research, Elsevier, vol. 233(3), pages 640-650.
    2. Briec, Walter & Mussard, Stéphane, 2014. "Efficient firm groups: Allocative efficiency in cooperative games," European Journal of Operational Research, Elsevier, vol. 239(1), pages 286-296.
       • Walter Briec & Stéphane Mussard, 2014. "Efficient firm groups: Allocative efficiency in cooperative games," Post-Print hal-02132094, HAL.
    3. Mostafaee, A. & Soleimani-damaneh, M., 2014. "Identifying the anchor points in DEA using sensitivity analysis in linear programming," European Journal of Operational Research, Elsevier, vol. 237(1), pages 383-388.
    4. Rezaeiani, M.J. & Foroughi, A.A., 2018. "Ranking efficient decision making units in data envelopment analysis based on reference frontier share," European Journal of Operational Research, Elsevier, vol. 264(2), pages 665-674.
    5. Ghasemi, Mohammad Reza & Ignatius, Joshua & Rezaee, Babak, 2019. "Improving discriminating power in data envelopment models based on deviation variables framework," European Journal of Operational Research, Elsevier, vol. 278(2), pages 442-447.

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