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 R. Srikant sits on this spectrum.
This scientist: 393 publications — 86th percentile
86% 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 R. Srikant sits on this spectrum.
This scientist: 84 D-Index — 94th percentile
94% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
R. Srikant is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research predominantly falls within the field of Computer Science, with significant focus on several subfields including Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Statistics and Probability, and Electrical and Electronic Engineering.
The scientist's recent publications cover a range of topics and venues. Notable papers include "Enhancing the reliability of out-of-distribution image detection in neural networks" (2025, TIB Data Manager), "The Global Landscape of Neural Networks: An Overview" (2020, IEEE Signal Processing Magazine), "3M-RL: Multi-Resolution, Multi-Agent, Mean-Field Reinforcement Learning for Autonomous UAV Routing" (2021, IEEE Transactions on Intelligent Transportation Systems), "Optimal Load Balancing with Locality Constraints" (2020, Proceedings of the ACM on Measurement and Analysis of Computing Systems), and "Heavy-Traffic Insensitive Bounds for Weighted Proportionally Fair Bandwidth Sharing Policies" (2022, Mathematics of Operations Research).
Frequent co-authors working with R. Srikant include
Publication venues where R. Srikant has contributed multiple works consist of
Their research addresses several main topics such as
R. Srikant has received multiple recognitions including the IEEE Koji Kobayashi Computers and Communications Award in 2019 for contributions to congestion control and scheduling in computer communication networks. They were named an ACM Fellow in 2014 for their work in knowledge discovery and data mining. Previously, they became an IEEE Fellow in 2006 for modelling and control of communication networks, and received the ACM Grace Murray Hopper Award in 2002 for seminal work on mining association rules, which influenced data mining as a field and became foundational in related academic curricula.
Dongyu Qiu;R. Srikant
Rayadurgam Srikant
Srisankar Kunniyur;R. Srikant
Songwu Lu;Vaduvur Bharghavan;R. Srikant
Songwu Lu;Vaduvur Bharghavan;Rayadurgam Srikant
Shiyu Liang;Yixuan Li;Rayadurgam Srikant
Xiaojun Lin;N.B. Shroff;R. Srikant
Akshay Kashyap;Tamer Başar;R. Srikant
Sanjay Shakkottai;R. Srikant;Ness B. Shroff
Tansu Alpcan;Tamer Başar;R. Srikant;Eitan Altman
Srisankar Kunniyur;R. Srikant
S. Shakkottai;R. Srikant;N. Shroff
Atilla Eryilmaz;R. Srikant
Shao Liu;Tamer Başar;R. Srikant
Huaizhong Han;Srinivas Shakkottai;C. V. Hollot;R. Srikant
A. Eryilmaz;R. Srikant
A. Eryilmaz;R. Srikant
Siva Theja Maguluri;R. Srikant;Lei Ying
Javad Ghaderi;R. Srikant
Srinivas Shakkottai;R. Srikant
Atilla Eryilmaz;R. Srikant;James R. Perkins
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