What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- The Internet
The scientist’s investigation covers issues in Computer network, Scheduling, Wireless network, Network congestion and Distributed computing.
His research in Computer network intersects with topics in Wireless, Throughput and Transmission.
His work in Scheduling addresses issues such as Queueing theory, which are connected to fields such as Queue.
His studies in Wireless network integrate themes in fields like Distributed algorithm, Telecommunications network, Resource allocation and Computer security.
His Network congestion study combines topics in areas such as Stability, Flow control, The Internet and Mathematical optimization.
His Distributed computing study combines topics from a wide range of disciplines, such as Wireless Routing Protocol, Hierarchical routing, Zone Routing Protocol, Dynamic Source Routing and Network delay.
His most cited work include:
- Modeling and performance analysis of BitTorrent-like peer-to-peer networks (1217 citations)
- The Mathematics of Internet Congestion Control (842 citations)
- A tutorial on cross-layer optimization in wireless networks (765 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer network, Scheduling, Wireless network, Mathematical optimization and Distributed computing.
R. Srikant works mostly in the field of Computer network, limiting it down to topics relating to Wireless and, in certain cases, Communication channel, as a part of the same area of interest.
R. Srikant focuses mostly in the field of Scheduling, narrowing it down to topics relating to Queue and, in certain cases, Queueing theory, Real-time computing and Markov process.
R. Srikant combines subjects such as Wireless ad hoc network, Throughput, Algorithm, Greedy algorithm and Distributed algorithm with his study of Wireless network.
His Mathematical optimization research integrates issues from Rate of convergence, Upper and lower bounds, Regret and The Internet.
His work in the fields of Distributed computing, such as Load balancing, overlaps with other areas such as Resource management.
He most often published in these fields:
- Computer network (35.75%)
- Scheduling (25.93%)
- Wireless network (24.77%)
What were the highlights of his more recent work (between 2015-2021)?
- Mathematical optimization (22.66%)
- Function (6.31%)
- Artificial neural network (3.97%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mathematical optimization, Function, Artificial neural network, Algorithm and Upper and lower bounds.
R. Srikant has included themes like Computational complexity theory, Rate of convergence, Regret and Reinforcement learning in his Mathematical optimization study.
In the field of Algorithm, his study on Approximation algorithm overlaps with subjects such as Node.
The Upper and lower bounds study combines topics in areas such as Discrete mathematics, Stochastic process and Combinatorics.
His Queue research is classified as research in Computer network.
The concepts of his Computer network study are interwoven with issues in Coding and Fading.
Between 2015 and 2021, his most popular works were:
- Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks (329 citations)
- Communication Networks An Optimization Control And Stochastic Networks Perspective (178 citations)
- Why Deep Neural Networks for Function Approximation (132 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- The Internet
His primary areas of study are Function, Artificial neural network, Queue, Distributed computing and Artificial intelligence.
His research on Function also deals with topics like
- Optimization problem that intertwine with fields like Optimization algorithm, Network management, Distributed algorithm and Topology,
- Routing protocol most often made with reference to Computation.
R. Srikant has researched Queue in several fields, including Poisson distribution, Independence, Scheduling and Task.
Scheduling is a primary field of his research addressed under Computer network.
The study incorporates disciplines such as Queueing theory and Server in addition to Distributed computing.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Network architecture, Reliability and Pattern recognition.
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