Ghiyasi, M., A. Emrouznejad and GR Amin (2026) Generalizing inverse data envelopment analysis through directional distance function, Expert Systems with Applications, 299: 129996. (doi)
Tag: Q1
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). Redefining Competitive Industrial Performance Indicator: A Multiplicative Data Envelopment Analysis Approach. Journal of the Operational Research Society, 77 (10): 2840–2867
Anouz, A. C. Lu, and A. Emrouznejad (2026). Redefining Competitive Industrial Performance Indicator: A Multiplicative Data Envelopment Analysis Approach. Journal of the Operational Research Society, 77 (10): 2840–2867 (doi)
Imanirad, R., H. Omrani, and A. Emrouznejad (2026) Assessing Health and Well-Being (SDG 3) in OECD Countries: A Joint Variable Selection Directional Distance Function Approach, Annals of Operations Research, Accepted: 1–20
Imanirad, R., H. Omrani, and A. Emrouznejad (2026) Assessing Health and Well-Being (SDG 3) in OECD Countries: A Joint Variable Selection Directional Distance Function Approach, Annals of Operations Research, Accepted: 1–20. (doi)
Emrouznejad, A., V. Podinovski (2025) In memoriam of Professor Rajiv Banker: New developments in data envelopment analysis and its applications, Annals of Operations Research, 351: 1221–1224.
Emrouznejad, A., V. Podinovski (2025) In memoriam of Professor Rajiv Banker: New developments in data envelopment analysis and its applications, Annals of Operations Research, 351: 1221–1224. (doi)
Charles, V., A. Emrouznejad, W. H. Kunz (2025) Advancements in Artificial Intelligence-based prescriptive and cognitive analytics for business performance: a special issue editorial, Journal of Business Research, 200: 115576.
Charles, V., A. Emrouznejad, W. H. Kunz (2025) Advancements in Artificial Intelligence-based prescriptive and cognitive analytics for business performance: a special issue editorial, Journal of Business Research, 200: 115576. (doi)
Lu, C., A. Roshani; G. Parry, and A. Emrouznejad (2026). Multi-level Risk Assessment in Additive Manufacturing Systems: A Multiplicative Nonparametric Approach, International Journal of Production Research, 64 (10): 4196-4215.
Lu, C., A. Roshani; G. Parry, and A. Emrouznejad (2026). Multi-level Risk Assessment in Additive Manufacturing Systems: A Multiplicative Nonparametric Approach, International Journal of Production Research, 64 (10): 4196-4215. (doi)