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 E.S. Ali sits on this spectrum.
This scientist: 84 publications — 2nd percentile
2% 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 E.S. Ali sits on this spectrum.
This scientist: 46 D-Index — 52nd percentile
52% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
His primary areas of study are Electric power system, Algorithm, Control theory, Genetic algorithm and Sizing. In Electric power system, Ehab S. Ali works on issues like Capacitor, which are connected to Thyristor. Ehab S. Ali has researched Control theory in several fields, including Control engineering, Optimization problem and Particle swarm optimization.
His Optimization problem study incorporates themes from Metaheuristic, Robustness and Search algorithm. Ehab S. Ali combines subjects such as Time domain, PID controller and Automatic frequency control with his study of Genetic algorithm. His study in Sizing intersects with areas of studies such as Sensitivity, Photovoltaic system, Turbine and Distributed generation.
The scientist’s investigation covers issues in Control theory, Electric power system, Algorithm, Control theory and Genetic algorithm. His Control theory study integrates concerns from other disciplines, such as Optimization problem and Particle swarm optimization. Within one scientific family, he focuses on topics pertaining to Capacitor under Electric power system, and may sometimes address concerns connected to Thyristor.
In his work, Heuristic is strongly intertwined with Stability, which is a subfield of Control theory. His study in Genetic algorithm is interdisciplinary in nature, drawing from both Automatic frequency control and Cuckoo search. Ehab S. Ali focuses mostly in the field of PID controller, narrowing it down to topics relating to Bat algorithm and, in certain cases, Search algorithm and Simulated annealing.
His scientific interests lie mostly in Whale, Operations research, Total cost, Variable and Minification. Total cost combines with fields such as Control reconfiguration and Differential evolution in his work.
E.S. Ali;S.M. Abd-Elazim
E.S. Ali;E.S. Ali;S.M. Abd Elazim;A.Y. Abdelaziz
E.S. Ali;S.M. Abd-Elazim
E.S. Ali;S.M. Abd Elazim;A.Y. Abdelaziz
S. M. Abd-Elazim;E. S. Ali
E.S. Ali
A.Y. Abdelaziz;E.S. Ali;E.S. Ali
A.Y. Abdelaziz;E.S. Ali;S.M. Abd Elazim
A.Y. Abdelaziz;E.S. Ali;S.M. Abd Elazim
A.Y. Abdelaziz;E.S. Ali;S.M. Abd Elazim
Moustafa M. Aboelmaaref;Moustafa M. Aboelmaaref;Mohamed E. Zayed;Mohamed E. Zayed;Jun Zhao;Wenjia Li
A.Y. Abdelaziz;E.S. Ali;S.M. Abd Elazim
S.M. Abd Elazim;E.S. Ali
S.M. Abd-Elazim;E.S. Ali
E.S. Ali;S.M. Abd-Elazim
S.M. Abd-Elazim;E.S. Ali
E.S. Ali;S.M. Abd Elazim;A.Y. Abdelaziz
A.S. Oshaba;E.S. Ali;S.M. Abd Elazim
Sahar M. Abd-Elazim;Ehab S. Ali
E. S. Ali;E. S. Ali;S. M. Abd Elazim;A. Y. Abdelaziz
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