Azadi, E., A. Emrouznejad, and X. Zhou (2026). Decarbonisation under cap-and-trade: an integrated network Data Envelopment Analysis model with a second-scoring auction mechanism. Journal of the Operational Research Society, Accepted. (doi)
Tag: Q1
Peykani, P., D. Sabour, and A. Emrouznejad (2026) A Data-Driven Scientific Mapping of Data Envelopment Analysis and Sustainable Productivity in Supply Chains and Logistics, Supply Chain Analytics, Accepted
Peykani, P., D. Sabour, and A. Emrouznejad (2026) A Data-Driven Scientific Mapping of Data Envelopment Analysis and Sustainable Productivity in Supply Chains and Logistics, Supply Chain Analytics, Accepted. (doi)
Li, J., X. Yuan, X. Zhu, A. Emrouznejad, J. Hao, and Y. Jin (2026) Uncovering financial network structures and connectedness from textual risk disclosures Annals of Operations Research, Accepted.
Li, J., X. Yuan, X. Zhu, A. Emrouznejad, J. Hao, and Y. Jin (2026) Uncovering financial network structures and connectedness from textual risk disclosures, Annals of Operations Research, Accepted. (doi)
Lu, C., Emrouznejad, A., X.Wang, and M. D. Kremantzis (2026) Integrated super‑efficiency models for network systems:from slack‑based measure to unified analysis framework, Annals of Operations Research, Accepted.
Lu, C., Emrouznejad, A., X.Wang, and M.D. Kremantzis (2026) Integrated super‑efficiency models for network systems:from slack‑based measure to unified analysis framework, Annals of Operations Research, Accepted. (doi)
Lu, C., A. Emrouznejad, and D. Giraleas (2026) Virtual projection bias in two-stage network data envelopment analysis: A unified non-radial approach for efficiency decomposition, European Journal of Operational Research, Accepted
Lu, C., A. Emrouznejad, and D. Giraleas (2026) Virtual projection bias in two-stage network data envelopment analysis: A unified non-radial approach for efficiency decomposition, European Journal of Operational Research, Accepted . (doi)
Sahoo, S., A. Kumar, S. K. Mangla, and A. Emrouznejad (2026) Enhancing Supply Chain Resilience through Digital Twin-Enabled Risk Management: The Role of Logistic Service Coordination and Distribution Network Efficiency, International Journal of Production Economics, 297: 110016
Sahoo, S., A. Kumar, S. K. Mangla, and A. Emrouznejad (2026) Enhancing Supply Chain Resilience through Digital Twin-Enabled Risk Management: The Role of Logistic Service Coordination and Distribution Network Efficiency, International Journal of Production Economics, 297: 110016. (doi)
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.
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)
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)