Peykani, P., A. Emrouznejad, and Z. Abbasi (2026). Network Data Envelopment Analysis in the Insurance Industry: A Literature Review, Journal of Productivity Analysis, Accepted. (doi)
Tag: 20xx
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.
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)
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)
Rahimi, I. , A. Emrouznejad, Mo Jamshidi (2026) Introduction to system-of-systems engineering for smart cities. In: Rahimi, et al. (eds) Smart Cities: A System-of-Systems Perspective, Elsevier
Rahimi, I. , A. Emrouznejad, Mo Jamshidi (2026) Introduction to system-of-systems engineering for smart cities. In: Rahimi, et al. (eds) Smart Cities: A System-of-Systems Perspective, Elsevier. (doi)
Song, M., S. K. Mangla, S. C. Perera, A. Emrouznejad, and J. Wang (2026), Integrating AI with nonparametric frontier models: an FDH-RBF approach for non-convex production possibility set approximation, Operational Research-An International Journal, 26: 105
Song, M., S. K. Mangla, S. C. Perera, A. Emrouznejad, and J. Wang (2026), Integrating AI with nonparametric frontier models: an FDH-RBF approach for non-convex production possibility set approximation, Operational Research-An International Journal, 26: 105. (doi)
Peykani, P., V. Charles, A. Emrouznejad, S. Ghanidel, and D. Sabour (2026) The Versatility of Large Language Models: A Comprehensive Review and Structured Survey of Architectures, Applications, Challenges, and Future Trajectories, Archives of Computational Methods in Engineering, Accepted
Peykani, P., V. Charles, A. Emrouznejad, S. Ghanidel, and D. Sabour (2026) The Versatility of Large Language Models: A Comprehensive Review and Structured Survey of Architectures, Applications, Challenges, and Future Trajectories, Archives of Computational Methods in Engineering, 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)
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)