Oyebanji, U., Alkafri, A., Alsmadi, H., Alkasasbeh, M., Maghaydah, S., Natalia, F., & Al-Karaki, W.
(2026).
An explainable deep learning method for diagnosing lumbar spine disorders from medical images.
Healthcare Analytics, 9.
https://doi.org/10.1016/j.health.2026.100459
Q1Open Access
Qawaqneh, H., Maghaydah, S., Alomari, S., Bektemyssova, G., Montazeri, Z., Dehghani, M., Malik, O. P., & Eguchi, K.
(2026).
Bolas Spider Algorithm: A Novel Efficient Nature-Inspired Metaheuristic for Complex Continuous Optimization.
International Journal of Intelligent Engineering and Systems, 19(1), 221–239.
https://doi.org/10.22266/ijies2026.0131.14
Q2Cited by 2Open Access
Qawaqneh, H., Maghaydah, S., Alomari, S., Bektemyssova, G., Smerat, A., Montazeri, Z., Dehghani, M., Malik, O. P., & Eguchi, K.
(2026).
Moonlight Bat Optimization (MBO): A Nature-inspired Metaheuristic Balancing Adaptive Exploration and Precision Exploitation.
International Journal of Intelligent Engineering and Systems, 19(1), 33–51.
https://doi.org/10.22266/ijies2026.0131.03
Q2Cited by 1Open Access
Alomari, K. M., Maghaydah, S., Salloum, S. A., Mahade, A., Abubakr, A. A. M., & Abubakr, A. A. M.
(2026).
Understanding metaverse adoption and sustainability across students and educators: Evidence from the diffusion of innovation model.
Telematics and Informatics Reports, 21.
https://doi.org/10.1016/j.teler.2026.100307
Q1Open Access
Alomari, K. M., Abubakr, A. A. M., Maghaydah, S., & Ali, M. A.
(2025).
Building a composite early warning index for financial market crises using machine learning and macroeconomic-political uncertainty indicators.
Asian Economic and Financial Review, 15(10), 1520–1537.
https://doi.org/10.55493/5002.v15i10.5594
Q2Open Access
Alomari, K. M., Maghaydah, S., & Khan, M. J.
(2025).
Examining Metaverse Intention to Use Among Computer Science and Engineering Students Via UTAUT2, DOI Through PLS-SEM, ML & Network Analysis.
SN Computer Science, 6(8).
https://doi.org/10.1007/s42979-025-04553-6
Q1Open Access
Allouzi, A. S., Alomari, K. M., & Maghaydah, S.
(2024).
Enhancing game classification systems with machine learning: A comparative study on techniques and legal implications.
International Journal of Data and Network Science, 8(4), 2319–2332.
https://doi.org/10.5267/j.ijdns.2024.5.024
Q1Cited by 10Open Access
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Review
1
Maghaydah, S., Al-Emran, M., Maheshwari, P., & Al-Sharafi, M. A.
(2024).
Factors affecting metaverse adoption in education: A systematic review, adoption framework, and future research agenda.
Heliyon, 10(7).
https://doi.org/10.1016/j.heliyon.2024.e28602
Q1Cited by 60Open Access
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Conference Paper
5
Maghaydah, S., Assayed, S. K., Salhieh, S. M., & Alomari, K. M.
(2026).
Success Factors Affecting Enterprise Resource Planning (ERP) Systems Implementation in UAE Higher Education Institutions.
Communications in Computer and Information Science, 2541 CCIS, 173–182.
https://doi.org/10.1007/978-3-031-99356-5_15
Q3
Alomari, K. M., Maghaydah, S., Mahde, A., Mohammed, A. A., Korany, H., & Abunawas, M. K.
(2025).
Examining Metaverse Adoption Impacts Higher Education Students Through the Diffusion of Innovation Framework.
Proceedings - International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2025.
https://doi.org/10.1109/IC_ASET65966.2025.11232258
Maghaydah, S., Maheshwari, P., & Alomari, K. M.
(2023).
Agent-Based Modelling and Simulation of Crowd Evacuation: Case Study for Electric Train Cabin.
2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023.
https://doi.org/10.1109/ICBATS57792.2023.10111239
Cited by 2
Alomari, K. M., & Maghaydah, S.
(2023).
Beyond Multivariate Analysis Methods: Proposing Sentiment Analysis as a Novel Approach in Analyzing UTAUT2 for Metaverse Adoption.
ACM International Conference Proceeding Series, 135–139.
https://doi.org/10.1145/3641032.3641040
Cited by 2
Inairat, M. H. S., Sahawneh, N. M. F., Faiz, M. A., Maghaydah, S., & Itani, R.
(2023).
The Role of Artificial Intelligence in Mitigating Cyber Security Issues and its Impact on FinTech.
2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023.
https://doi.org/10.1109/ICBATS57792.2023.10111390