What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Microeconomics
His primary areas of investigation include Computer network, Distributed computing, Scheduling, Wireless network and Distributed algorithm.
His studies deal with areas such as Wireless and Communication channel as well as Computer network.
His research in the fields of Source-specific multicast and Multicast overlaps with other disciplines such as Sample and Cluster analysis.
His Scheduling study incorporates themes from Bandwidth allocation and Throughput.
His research investigates the connection between Wireless network and topics such as Resource allocation that intersect with problems in Mobile computing, Core, Microeconomics and Game theory.
The study incorporates disciplines such as Node and Approximation algorithm in addition to Distributed algorithm.
His most cited work include:
- Maxmin fair scheduling in wireless networks (271 citations)
- Throughput and Fairness Guarantees Through Maximal Scheduling in Wireless Networks (225 citations)
- Optimization based rate control for multirate multicast sessions (146 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer network, Distributed computing, Wireless network, Wireless and Mathematical optimization.
In his work, Spectral efficiency is strongly intertwined with Throughput, which is a subfield of Computer network.
He interconnects Flow control, Wireless ad hoc network, Resource allocation and Network topology in the investigation of issues within Distributed computing.
His work on Key distribution in wireless sensor networks as part of his general Wireless network study is frequently connected to Resource management, thereby bridging the divide between different branches of science.
His research investigates the link between Wireless and topics such as Transmission that cross with problems in Node.
The Mathematical optimization study combines topics in areas such as Cognitive radio, Communication channel and Bandwidth.
He most often published in these fields:
- Computer network (50.00%)
- Distributed computing (30.30%)
- Wireless network (21.21%)
What were the highlights of his more recent work (between 2015-2020)?
- Nash equilibrium (13.13%)
- Stochastic game (9.09%)
- Microeconomics (10.10%)
In recent papers he was focusing on the following fields of study:
Saswati Sarkar mainly investigates Nash equilibrium, Stochastic game, Microeconomics, Competition and Mathematical optimization.
His study looks at the intersection of Nash equilibrium and topics like Oligopoly with Cognitive radio, Barriers to entry, Load management and Roaming.
His work on Computer network expands to the thematically related Barriers to entry.
His Computer network research integrates issues from Wireless, Wireless network, Industrial organization and Flow network.
The Competition study which covers Cellular network that intersects with Incentive, Service provider, Operations research and Quality of service.
His Mathematical optimization research includes themes of Mathematical economics and Communication channel.
Between 2015 and 2020, his most popular works were:
- Optimal patching in clustered malware epidemics (56 citations)
- Economics of Quality Sponsored Data in Non-Neutral Networks (21 citations)
- Quality-sensitive price competition in secondary market spectrum oligopoly: single location game (15 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Algorithm
His primary areas of study are Stochastic game, Nash equilibrium, Competition, Microeconomics and Malware.
As a part of the same scientific family, Saswati Sarkar mostly works in the field of Stochastic game, focusing on Service provider and, on occasion, Wireless and Economic model.
His Nash equilibrium study is concerned with Mathematical optimization in general.
The various areas that Saswati Sarkar examines in his Mathematical optimization study include Cognitive radio, Competitor analysis and Oligopoly.
He has included themes like Telecommunications, Cellular network, Mobile computing and Sequential game in his Competition study.
His Malware research is multidisciplinary, incorporating elements of Distributed computing and Computer virus.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
