Emrouznejad, A., S. Chowdhury, and P. K. Dey (2023) Blockchain in operations and supply Chain Management, Annals of Operations Research. 327: 1–6. (doi)
Journal Papers
Charles, V., A. Emrouznejad, T. Gherman (2023) A critical analysis of the integration of blockchain and artificial intelligence for supply chain, Annals of Operations Research, 327: 7–47.
Charles, V., A. Emrouznejad, T. Gherman (2023) A critical analysis of the integration of blockchain and artificial intelligence for supply chain, Annals of Operations Research, 327: 7–47. (doi) (download)
Emrouznejad, A., G. R. Amin (2023) Advances in Inverse Data Envelopment Analysis: Empowering Performance Assessment, IMA Journal of Management Mathematics, 34 (3): 415–419.
Emrouznejad, A., G. R. Amin (2023) Advances in Inverse Data Envelopment Analysis: Empowering Performance Assessment, IMA Journal of Management Mathematics, 34 (3): 415–419. (doi)
Emrouznejad, A., G. R. Amin, M. Ghiyasi, M. Michali (2023) A Review of Inverse Data Envelopment Analysis: Origins, Development, and Future Directions, IMA Journal of Management Mathematics, 34 (3): 421–440.
Emrouznejad, A., G. R. Amin, M. Ghiyasi, M. Michali (2023) A Review of Inverse Data Envelopment Analysis: Origins, Development, and Future Directions, IMA Journal of Management Mathematics, 34 (3): 421–440. (doi)
Emrouznejad, A., M. Marra, G. L. Yang, M. Michali (2023) Eco-efficiency considering NetZero and Data Envelopment Analysis: A critical literature review, IMA Journal of Management Mathematics, 34, 599–632.
Emrouznejad, A., M. Marra, G. L. Yang, M. Michali (2023) Eco-efficiency considering NetZero and Data Envelopment Analysis: A critical literature review, IMA Journal of Management Mathematics, 34, 599–632. (doi) (Free Download) (Free download from Research Gate).
Hong, B., J. Liu, L. Shen, Q. Xie, J. Yuan, A. Emrouznejad, and H. Han (2023) Graph partitioning algorithms with biological connectivity decisions for neuron reconstruction in electron microscope volumes, Expert Systems with Applications, 22: 119776
Hong, B., J. Liu, L. Shen, Q. Xie, J. Yuan, A. Emrouznejad, and H. Han (2023) Graph partitioning algorithms with biological connectivity decisions for neuron reconstruction in electron microscope volumes, Expert Systems with Applications, 22: 119776. (doi)
Omrani, H. , M. Shamsi, A. Emrouznejad, T. Teplova (2023) A robust DEA model under discrete scenarios for assessing bank branches, Expert Systems with Applications, 219: 119694.
Omrani, H. , M. Shamsi, A. Emrouznejad, T. Teplova (2023) A robust DEA model under discrete scenarios for assessing bank branches, Expert Systems with Applications, 219: 119694. (doi)
Emrouznejad, A., V. Panchmati, R. Gholami, C. Rigsbee and , and H. B. Kartal (2023) Analysis of Smart Meter Data with Machine Learning for Implications Targeted towards Residents, International Journal of Urban Planning and Smart Cities, 4 (1): 1-22.
Emrouznejad, A., V. Panchmati, R. Gholami, C. Rigsbee and , and H. B. Kartal (2023) Analysis of Smart Meter Data with Machine Learning for Implications Targeted towards Residents, International Journal of Urban Planning and Smart Cities, 4 (1): 1-22. (doi)
Boustani, N., A. Emrouznejad, R. Gholami, O. Despic, A. Ioannou (2024) Improving the predictive accuracy of the cross-selling of consumer loans using deep learning networks. Annals of Operations Research, 339: 613–630
Boustani, N., A. Emrouznejad, R. Gholami, O. Despic, A. Ioannou (2024) Improving the predictive accuracy of the cross-selling of consumer loans using deep learning networks. Annals of Operations Research, 339: 613–630. (doi)
Charles, V. A. Emrouznejad, T. Gherman, and J. Cochran (2022) Why data analytics is an art?, Significance 19 (6): 42-4.
Charles, V. A. Emrouznejad, T. Gherman, and J. Cochran (2022) Why data analytics is an art?, Significance 19 (6): 42-4. (doi)