What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
The scientist’s investigation covers issues in Computer network, Smart grid, Demand response, Distributed computing and Cognitive radio.
The study incorporates disciplines such as Cloud computing and Topology in addition to Computer network.
His Smart grid research incorporates elements of Quality of service, Grid computing, Service and Next-generation network.
The Demand response study combines topics in areas such as Distributed algorithm, System on a chip and Mobile computing.
His Distributed computing research is multidisciplinary, incorporating elements of Load balancing, Simulation and Routing protocol.
His Cognitive radio research is multidisciplinary, relying on both Control unit, Electronic engineering and Detector.
His most cited work include:
- Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach (488 citations)
- Cognitive machine-to-machine communications: visions and potentials for the smart grid (333 citations)
- Toward cloud-based vehicular networks with efficient resource management (236 citations)
What are the main themes of his work throughout his whole career to date?
Stein Gjessing spends much of his time researching Computer network, Distributed computing, Network packet, Smart grid and Cognitive radio.
The study incorporates disciplines such as Wireless and The Internet in addition to Computer network.
His work carried out in the field of Distributed computing brings together such families of science as Routing, Static routing, Routing protocol, Node and Cloud computing.
Stein Gjessing has included themes like Convergence and Throughput in his Network packet study.
In Smart grid, Stein Gjessing works on issues like Demand response, which are connected to Distributed algorithm.
His Cognitive radio study integrates concerns from other disciplines, such as Key and Reliability.
He most often published in these fields:
- Computer network (63.19%)
- Distributed computing (27.08%)
- Network packet (13.19%)
What were the highlights of his more recent work (between 2017-2021)?
- Computer network (63.19%)
- Network congestion (6.25%)
- The Internet (10.42%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computer network, Network congestion, The Internet, WebRTC and IP header.
His Computer network study often links to related topics such as Cloud computing.
The various areas that Stein Gjessing examines in his Cloud computing study include Scalability, Distributed computing and Communications system.
His Network congestion study incorporates themes from Internetworking, Hypervisor and Line.
His research in The Internet intersects with topics in Telecommunications, Set, Stream Control Transmission Protocol, Protocol and Software engineering.
He focuses mostly in the field of WebRTC, narrowing it down to topics relating to IPv4 and, in certain cases, Quality of service and End system.
Between 2017 and 2021, his most popular works were:
- Selective Offloading in Mobile Edge Computing for the Green Internet of Things (94 citations)
- Decentralized and Optimal Resource Cooperation in Geo-Distributed Mobile Cloud Computing (40 citations)
- Optimal Charging Schemes for Electric Vehicles in Smart Grid: A Contract Theoretic Approach (26 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
Stein Gjessing mostly deals with Computer network, Server, Cloud computing, Energy consumption and Latency.
Many of his research projects under Computer network are closely connected to Service provider with Service provider, tying the diverse disciplines of science together.
His Server course of study focuses on IPv4 and Quality of service.
His Cloud computing research incorporates themes from Mobile technology, Mobile Web and Distributed computing.
Stein Gjessing has researched Energy consumption in several fields, including Private information retrieval, Transmission, Spectral efficiency, Heterogeneous network and Base station.
His Latency research includes themes of Multiplexing, Bandwidth, Queuing delay and Bottleneck.
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