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 Gunasekaran Manogaran sits on this spectrum.
This scientist: 188 publications — 42nd percentile
42% 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 Gunasekaran Manogaran sits on this spectrum.
This scientist: 70 D-Index — 87th percentile
87% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Gunasekaran Manogaran is affiliated with the University of California, Davis in the United States. Their research spans multiple fields, primarily focusing on computer science and engineering. Within these broader disciplines, Manogaran has contributed extensively to subfields such as computer networks and communications, artificial intelligence, information systems, electrical and electronic engineering, and computer vision and pattern recognition.
Their main topics of research address areas including IoT and edge/fog computing, blockchain technology applications and security, vehicular ad hoc networks (VANETs), COVID-19 diagnosis using AI, privacy-preserving technologies in data, cloud computing and resource management, as well as retinal imaging and analysis.
Manogaran has published recent papers relevant to these subjects, including:
Their frequent coauthors include Ching-Hsien Hsu, Priyan Malarvizhi Kumar, Bharat S. Rawal, P. Mohamed Shakeel, and Seifedine Kadry.
Manogaran's work appears regularly in several publication venues with multiple contributions, including:
Additionally, Manogaran has published books through Springer Nature. Among these are "Implementing and Leveraging Blockchain Programming" (2022) and "Proceedings of International Conference on Deep Learning, Computing and Intelligence" (2022).
Mohamed Loey;Gunasekaran Manogaran;Gunasekaran Manogaran;Mohamed Hamed N. Taha;Nour Eldeen M. Khalifa
Gunasekaran Manogaran;R. Varatharajan;Daphne Lopez;Priyan Malarvizhi Kumar
Mohamed Abdel-Basset;Gunasekaran Manogaran;Mai Mohamed
Mohamed Loey;Gunasekaran Manogaran;Gunasekaran Manogaran;Mohamed Hamed N. Taha;Nour Eldeen M. Khalifa
Mohamed Abdel-Basset;Gunasekaran Manogaran;Abduallah Gamal;Florentin Smarandache
Mohamed Abdel-Basset;Gunasekaran Manogaran;Mai Mohamed;Ehab Rushdy
Zhihan Lv;Yang Han;Amit Kumar Singh;Gunasekaran Manogaran
R. Varatharajan;Gunasekaran Manogaran;M. K. Priyan;Revathi Sundarasekar
Mohamed Abdel-Basset;Gunasekaran Manogaran;Abduallah Gamal;Victor Chang
Mohamed Abdel-Basset;Gunasekaran Manogaran;Doaa El-Shahat;Seyedali Mirjalili
Mohamed Loey;Gunasekaran Manogaran;Gunasekaran Manogaran;Nour Eldeen M. Khalifa
Mohamed Abdel-Basset;Gunasekaran Manogaran;Abduallah Gamal;Florentin Smarandache
Gunasekaran Manogaran;R. Varatharajan;M. K. Priyan
BalaAnand Muthu;C. B. Sivaparthipan;Gunasekaran Manogaran;Revathi Sundarasekar
Gunasekaran Manogaran;V. Vijayakumar;R. Varatharajan;Priyan Malarvizhi Kumar
V. Subramaniyaswamy;Gunasekaran Manogaran;R. Logesh;V. Vijayakumar
R. Varatharajan;Gunasekaran Manogaran;M. K. Priyan
P. Mohamed Shakeel;Tarek E. El. Tobely;Haytham Al-Feel;Gunasekaran Manogaran
Hanliang Fu;Gunasekaran Manogaran;Kuang Wu;Ming Cao
Gunasekaran Manogaran;P. Mohamed Shakeel;Hassan Fouad;Yunyoung Nam
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