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 Umakishore Ramachandran sits on this spectrum.
This scientist: 203 publications — 47th percentile
47% 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 Umakishore Ramachandran sits on this spectrum.
This scientist: 35 D-Index — 20th percentile
20% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Umakishore Ramachandran is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the field of Computer Science, with a focus on several subfields including Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Electrical and Electronic Engineering, and Artificial Intelligence.
The scientist's work addresses multiple core topics, notably Caching and Content Delivery, IoT and Edge/Fog Computing, Cloud Computing and Resource Management, Distributed Systems and Fault Tolerance, Green IT and Sustainability, Peer-to-Peer Network Technologies, and Data Visualization and Analytics.
Several recent publications illustrate the topical range and venues of their contributions:
Frequent collaborators include Alexandros Daglis, Enrique Saurez, Zhuangdi Xu, Joy Arulraj, and Abhijit Chatterjee.
Their research output is published in notable venues such as arXiv (Cornell University), Proceedings of the 2022 International Conference on Management of Data, Computer, GetMobile Mobile Computing and Communications, and Proceedings of the ACM on Measurement and Analysis of Computing Systems.
Recognition for professional contributions includes the IEEE Fellow award received in 2014 for work on programming idioms for parallel and distributed systems and the design of scalable shared memory systems.
Kirak Hong;David Lillethun;Umakishore Ramachandran;Beate Ottenwälder
P. Dasgupta;R.J. LeBlanc;M. Ahamad;U. Ramachandran
Rajnish Kumar;Matthew Wolenetz;Bikash Agarwalla;JunSuk Shin
Enrique Saurez;Kirak Hong;Dave Lillethun;Umakishore Ramachandran
P. Dasgupta;R. C. Chen;S. Menon;M. P. Pearson
Umakishore Ramachandran;M. Yousef A. Khalidi
Beate Ottenwälder;Boris Koldehofe;Kurt Rothermel;Umakishore Ramachandran
Adam Hall;Umakishore Ramachandran
Jin Nakazawa;H. Tokuda;W.K. Edwards;U. Ramachandran
Ruben Mayer;Leon Graser;Harshit Gupta;Enrique Saurez
Aman Singla;Umakishore Ramachandran;Jessica Hodgins
James Mathew Rehg;Kathleen Knobe;Rishiyur S. Nikhil;Umakishore Ramachandran
Umakishore Ramachandran;Mustaque Ahamad;M. Yousef Amin Khalidi
Anand Sivasubramaniam;Aman Singla;Umakishore Ramachandran;H. Venkateswaran
Beate Ottenwälder;Boris Koldehofe;Kurt Rothermel;Kirak Hong
Ruben Mayer;Harshit Gupta;Enrique Saurez;Umakishore Ramachandran
Umakishore Ramachandran;Rajnish Kumar;Matthew Wolenetz;Brian Cooper
Joonwon Lee;Umakishore Ramachandran
Umakishore Ramachandran;Rishiyur S. Nikhil;Nissim Harel;James M. Rehg
M. Modahl;I. Bagrak;M. Wolenetz;P. Hutto
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