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 P. R. Kumar sits on this spectrum.
This scientist: 384 publications — 72nd percentile
72% 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 P. R. Kumar sits on this spectrum.
This scientist: 76 D-Index — 91st percentile
91% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
P. R. Kumar is affiliated with Texas A&M University in the United States. Their research primarily spans the fields of Engineering and Computer Science with a focus on several subfields including Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Automotive Engineering, Signal Processing, and Artificial Intelligence.
The scientist's recent publications reveal a strong interest in autonomous vehicle technologies and artificial intelligence applications in healthcare and engineering systems. The following papers highlight some contributions made in these domains:
The topics covered in their work reflect a multidisciplinary approach encompassing autonomous vehicle safety, artificial intelligence applications in healthcare, robotic path planning, electromagnetic wave absorption materials, magnetic properties of ferrites, vehicle dynamics and control systems, and video coding and compression technologies.
Multiple frequent coauthors appear in their collaborations, which suggests ongoing research partnerships in related fields. These coauthors include:
Their publications are frequently found in venues oriented towards both theoretical and applied research, such as:
The breadth of P. R. Kumar's research demonstrates an integration of advanced engineering principles with computational intelligence methods applied to both automotive safety and materials science, reflecting a diverse academic portfolio.
P. Gupta;P.R. Kumar
Piyush Gupta;P. R. Kumar
P. R. Kumar;Pravin Varaiya
V. Kawadia;P.R. Kumar
Feng Xue;P. R. Kumar
Liang-Liang Xie;P.R. Kumar
R. Akella;P. R. Kumar
Kyoung-Dae Kim;P. R. Kumar
Vikas Kawadia;P.R. Kumar
P. Gupta;P.R. Kumar
S.H. Lu;P.R. Kumar
V. Kawadia;P.R. Kumar
P. R. Kumar
P. Gupta;P.R. Kumar
Liang-Liang Xie;P.R. Kumar
W. Lin;P. R. Kumar
A. Giridhar;P.R. Kumar
P.R. Kumar;S.P. Meyn
P.R. Kumar;T.I. Seidman
Karl Johan Åström;P. R. Kumar
P. Kumar
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