The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Walid G. Morsi sits on this spectrum.
This scientist: 97 publications — 3rd percentile
3% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Walid G. Morsi sits on this spectrum.
This scientist: 32 D-Index — 10th percentile
10% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Walid G. Morsi is a researcher affiliated with the University of Ontario Institute of Technology in Canada. Their work primarily spans the fields of Engineering and Computer Science, with a focus on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Renewable Energy, Sustainability and the Environment, and Automotive Engineering.
Their research concentrates on several key topics related to power and energy systems, including Smart Grid Security and Resilience, Electric Vehicles and Infrastructure, Network Security and Intrusion Detection, Anomaly Detection Techniques and Applications, Electricity Theft Detection Techniques, Advanced Battery Technologies Research, and Smart Grid Energy Management.
Among their recent publications are:
Walid G. Morsi frequently collaborates with a group of researchers including Matthew Oinonen, Ahmad Abu Nassar, Kais Abdulmawjood, Bishoy Basta, and Daniel J. Mabuggwe. These collaborations have contributed to the depth and breadth of topics addressed in their publications.
Their work has been published predominantly in the following venues:
Walid G. Morsi's research intersects multiple disciplines, combining expertise in electrical engineering with advanced methodologies such as machine learning and deep learning. This interdisciplinary approach is reflected in their work on energy systems resilience, the integration of electric vehicles and storage solutions, and cyber-physical system security.
Matthew K. Gray;Walid G. Morsi
Tamer S. Abdelgayed;Walid G. Morsi;Tarlochan S. Sidhu
Jessie M. Gillis;Sami M. Alshareef;Walid G. Morsi
Walid Morsi;Mohamed El-Hawary
W.G. Morsi;M.E. El-Hawary
W.G. Morsi;M.E. El-Hawary
Arnaldo Sepulveda;Liam Paull;Walid G. Morsi;Howard Li
Tamer S. Abdelgayed;Walid G. Morsi;Tarlochan S. Sidhu
Sami Alshareef;Saurabh Talwar;Walid. G. Morsi
Kais AbdulMawjood;Shady S. Refaat;Walid G. Morsi
W.G. Morsi;M. El-Hawary
Jessie M. Gillis;Walid G. Morsi
Walid G. Morsi;M.E. El-Hawary
Walid G. Morsi;M.E. El-Hawary
Sherif F. Abdelsamad;Walid G. Morsi;Tarlochan S. Sidhu
A. S. Aljankawey;Walid G. Morsi;L. Chang;C. P. Diduch
Sherif F. Abdelsamad;Walid G. Morsi;Tarlochan S. Sidhu
Shady A. El-Batawy;Walid G. Morsi
Walid Morsi;Mohamed El-Hawary
F. Bagnan Beidou;Walid G. Morsi;C. P. Diduch;L. Chang
Walid G. Morsi;C. P. Diduch;L. Chang
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