Zhao, J., Q. An, A. Emrouznejad, and R. Mu (2026) Weight space clustering method: Integrating data envelopment analysis with Monte Carlo simulation, Computer and Operations Research, 191: 107465. (doi)
Tag: 20xx
Peykani, P., A. Emrouznejad, S. Ghanidel, I. Javadi-Sisi, S. Mirjalili (2026) Green Artificial Intelligence: A Comprehensive Review of Metrics, Tools, Challenges, Trends, and Future Prospects, Archives of Computational Methods in Engineering, Accepted
Peykani, P., A. Emrouznejad, S. Ghanidel, I. Javadi-Sisi, S. Mirjalili (2026) Green Artificial Intelligence: A Comprehensive Review of Metrics, Tools, Challenges, Trends, and Future Prospects, Archives of Computational Methods in Engineering, Accepted. (doi)
He, Y., S. Xiao, M. Kremantzis, A. Essien, U. Tanveer, A. Emrouznejad, and S. Ishaq (2026), Dynamic Interplay of Sports, Social, and Economic Factors in the English Premier League: A Network DEA Approach , Socio-Economic Planning Sciences, 104: 102430.
He, Y., S. Xiao, M. Kremantzis, A. Essien, U. Tanveer, A. Emrouznejad, and S. Ishaq (2026), Dynamic Interplay of Sports, Social, and Economic Factors in the English Premier League: A Network DEA Approach , Socio-Economic Planning Sciences, 104: 102430. (doi)
Emrouznejad, A., and S. Chowdhury (2025) Artificial intelligence transparency and interpretability: implications for operations research, Annals of Operations Research, 354: 1-4.
Emrouznejad, A., and S. Chowdhury (2025) Artificial intelligence transparency and interpretability: implications for operations research, Annals of Operations Research, 354: 1-4. (doi)
Ghiyasi, M., A. Emrouznejad and GR Amin (2026) Generalizing inverse data envelopment analysis through directional distance function, Expert Systems with Applications, 299: 129996.
Ghiyasi, M., A. Emrouznejad and GR Amin (2026) Generalizing inverse data envelopment analysis through directional distance function, Expert Systems with Applications, 299: 129996. (doi)
Michali, M., A. Emrouznejad, and GR. Amin (2026) Revisiting the Inverse Transformation of Undesirable Factors in Data Envelopment Analysis: A Novel Iterative Algorithm, European Journal of Operational Research, 331 (2): 587-600.
Michali, M., A. Emrouznejad, and GR. Amin (2026) Revisiting the Inverse Transformation of Undesirable Factors in Data Envelopment Analysis: A Novel Iterative Algorithm, European Journal of Operational Research, 331 (2): 587-600. (doi)
Peykani, P., A. Emrouznejad, M. Nouri (2026) Best-Worst Multi-Criteria Decision-Making Method: A Review of the Literature, Socio-Economic Planning Sciences, 104: 102345.
Peykani, P., A. Emrouznejad, M. Nouri (2026), Best-Worst Multi-Criteria Decision-Making Method: A Review of the Literature, Socio-Economic Planning Sciences, 104: 102345. (doi)
Omrani, H., R. Imanirad and A. Emrouznejad (2026) A robust composite indicator framework for evaluating Sustainable Development Goal 3 using benefit‐of‐the‐doubt models and principal component analysis, International Transactions in Operational Research, 33 (4): 2639-2669
Omrani, H., R. Imanirad and A. Emrouznejad (2026) A robust composite indicator framework for evaluating Sustainable Development Goal 3 using benefit‐of‐the‐doubt models and principal component analysis, International Transactions in Operational Research, 33 (4): 2639-2669. (doi)
Singh, S., A. Emrouznejad, S. Pratap (2025). Achieving net zero: Enhancing maritime port efficiency through multi-objective integrated DEA-MORCOS. Case Studies on Transport Policy, 22: 101597.
Singh, S., A. Emrouznejad, S. Pratap (2025). Achieving net zero: Enhancing maritime port efficiency through multi-objective integrated DEA-MORCOS. Case Studies on Transport Policy, 22: 101597. (doi)
Anouz, A. C. Lu, and A. Emrouznejad (2026). ARedefining Competitive Industrial Performance Indicator: A Multiplicative Data Envelopment Analysis Approach. Journal of the Operational Research Society, Accepted: 1-10.
Anouz, A. C. Lu, and A. Emrouznejad (2026). ARedefining Competitive Industrial Performance Indicator: A Multiplicative Data Envelopment Analysis Approach. Journal of the Operational Research Society, Accepted: 1-10. (doi)