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 Roger A. Dougal sits on this spectrum.
This scientist: 339 publications — 65th percentile
65% 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 Roger A. Dougal sits on this spectrum.
This scientist: 57 D-Index — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Roger A. Dougal is a researcher affiliated with the University of South Carolina in the United States, specializing in the field of Engineering with a focus on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Control and Systems Engineering, Nuclear and High Energy Physics, and Aerospace Engineering.
Their recent publications span several topics related to power systems, fault detection, and transportation electrification. Key papers include:
Their work often explores topics such as industrial vision systems and defect detection, advanced machining and optimization techniques, digital transformation in industry, HVDC systems and fault protection, smart grid security and resilience, electrical fault detection and protection, and magnetic confinement fusion research.
Frequent co-authors with whom they have collaborated include Navid Gholizadeh, Joseph M. Hood, Kerry Sado, Jarrett Peskar, and Austin Downey.
Roger A. Dougal's publications are found in multiple professional venues:
The research contributions by Roger A. Dougal cover a range of specialized fields within engineering, with a strong emphasis on electrical and electronic engineering and its applications in transportation and power systems. Their engagement with modeling, simulation, and fault detection reflects an interdisciplinary approach connecting engineering theory and practical technological challenges.
Lijun Gao;Shengyi Liu;R.A. Dougal
R.A. Dougal;S. Liu;R.E. White
Lijun Gao;R.A. Dougal;Shengyi Liu;A.P. Iotova
Mohd Hasan Ali;Bin Wu;Roger A Dougal
Lijun Gao;R.A. Dougal;Shengyi Liu
M. N. Alam;R. H. Bhuiyan;R. Dougal;M. Ali
Parthasarathy M. Gomadam;John W. Weidner;Roger A. Dougal;Ralph E. White
Shengyi Liu;R.A. Dougal
Zhenhua Jiang;R.A. Dougal
E.V. Solodovnik;Shengyi Liu;R.A. Dougal
T. S. Sudarshan;R. A. Dougal
Zhenhua Jiang;R.A. Dougal
E. Santi;A. Monti;Donghong Li;K. Proddutur
Zhenhua Jiang;Lijun Gao;R.A. Dougal
M. Ali;G. Yang;R. Dougal
R.A. Dougal;L. Gao;S. Liu
Charles E Holland;John W Weidner;Roger A. Dougal;Ralph E. White
Wei Jiang;Jamil Khan;Roger A. Dougal
Brenda L. García;Vijay A. Sethuraman;John W Weidner;Ralph E. White
Zhenhua Jiang;Lijun Gao;Mark J Blackwelder;Roger A Dougal
P.R. Palmer;J.C. Joyce;P.Y. Eng;J. Hudgins
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