The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Kalyana C. Veluvolu sits on this spectrum.
This scientist: 145 publications — 25th percentile
25% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Kalyana C. Veluvolu sits on this spectrum.
This scientist: 36 D-Index — 23rd percentile
23% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Kalyana C. Veluvolu is a researcher affiliated with Kyungpook National University in South Korea. Their scholarly focus lies primarily within the broad field of Engineering, with significant contributions across several specialized subfields. These include Cognitive Neuroscience, Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering, and Biomedical Engineering.
Their work spans multiple interconnected topics, reflecting a multidisciplinary approach to engineering challenges. Key subjects addressed in their publications include EEG and Brain-Computer Interfaces, Fractional Differential Equations Solutions, Nonlinear Differential Equations Analysis, Autonomous Vehicle Technology and Safety, Functional Brain Connectivity Studies, Vehicle Dynamics and Control Systems, as well as Neuroscience and Neural Engineering.
Kalyana C. Veluvolu's recent research outputs cover various areas from neural engineering applications to vehicle safety and control systems. Selected recent publications include:
Their research is frequently published in venues such as Sensors, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Electronics, Mathematical Methods in the Applied Sciences, and Optimal Control Applications and Methods. The distribution of their published work highlights a consistent focus on both applied and theoretical aspects of engineering disciplines.
Collaborations are an integral part of their research, demonstrated by repeated coauthorship with colleagues such as Abdulyekeen T. Adebisi, Marimuthu Mohan Raja, V. Vijayakumar, Asad Rasheed, and Jagat Jyoti Rath. These frequent collaborators contribute to advancing research in control systems, neural engineering, and automotive technologies.
Suneel Kumar Kommuri;Michael Defoort;Hamid Reza Karimi;Kalyana Chakravarthy Veluvolu
Michael Defoort;Andrey Polyakov;Guillaume Demesure;Mohamed Djemai
Jagat Jyoti Rath;Michael Defoort;Hamid Reza Karimi;Kalyana Chakravarthy Veluvolu
Kalyana C. Veluvolu;Wei Tech Ang
Suneel Kumar Kommuri;Sang Bin Lee;Kalyana Chakravarthy Veluvolu
K.C. Veluvolu;Yeng Chai Soh
Ankit Kumar;Vijayakumar Varadarajan;Abhishek Kumar;Pankaj Dadheech
Moussa Hamadache;Dongik Lee;Kalyana C. Veluvolu
Ghufran Shafiq;Kalyana C. Veluvolu
K. C. Veluvolu;W. T. Ang
J. J. Rath;K. C. Veluvolu;M. Defoort
K.C. Veluvolu;U.X. Tan;W.T. Latt;C.Y. Shee
U-Xuan Tan;K.C. Veluvolu;Win Tun Latt;Cheng Yap Shee
Kalyana C. Veluvolu;Win Tun Latt;Wei Tech Ang
K. C. Veluvolu;M. Y. Kim;D. Lee
Ghufran Shafiq;Sivanagaraja Tatinati;Wei Tech Ang;Kalyana C. Veluvolu
Sivanagaraja Tatinati;Kalyana C. Veluvolu;Wei Tech Ang
Jagat Jyoti Rath;Michael Defoort;Chouki Sentouh;Hamid Reza Karimi
Jagat Jyoti Rath;Kalyana Chakravarthy Veluvolu;Michael Defoort;Yeng Chai Soh
Win Tun Latt;Kalyana Chakravarthy Veluvolu;Wei Tech Ang
Ajay Kumar Maddirala;Kalyana C Veluvolu
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