What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Martin Reisslein mainly focuses on Computer network, Quality of service, Real-time computing, Passive optical network and Wireless.
Much of his study explores Computer network relationship to Distributed computing.
His Quality of service research includes elements of Protocol stack and Packet switching.
The various areas that Martin Reisslein examines in his Real-time computing study include Variable bitrate, Data compression, Base station, Scalable Video Coding and Video quality.
His Wireless research incorporates themes from Internet Protocol, Protocol and Data transmission.
His research integrates issues of Polling and Queueing theory in his study of Scheduling.
His most cited work include:
- MPEG-4 and H.263 video traces for network performance evaluation (608 citations)
- Objective Video Quality Assessment Methods: A Classification, Review, and Performance Comparison (464 citations)
- A survey of multimedia streaming in wireless sensor networks (354 citations)
What are the main themes of his work throughout his whole career to date?
Martin Reisslein mostly deals with Computer network, Network packet, Real-time computing, Wireless and Multimedia.
Martin Reisslein combines Computer network and Passive optical network in his research.
His studies in Network packet integrate themes in fields like Circuit switching, Scheduling and Throughput.
His work carried out in the field of Real-time computing brings together such families of science as Variable bitrate, Data compression, Scalable Video Coding, Multiplexing and Video quality.
The study incorporates disciplines such as Multiview Video Coding, Motion compensation, Computer vision, Artificial intelligence and Video compression picture types in addition to Video quality.
Martin Reisslein combines subjects such as Polling and Bandwidth allocation with his study of Dynamic bandwidth allocation.
He most often published in these fields:
- Computer network (53.82%)
- Network packet (20.49%)
- Real-time computing (18.04%)
What were the highlights of his more recent work (between 2016-2021)?
- Computer network (53.82%)
- Network packet (20.49%)
- Decoding methods (3.67%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Computer network, Network packet, Decoding methods, Linear network coding and Wireless network.
His Computer network study typically links adjacent topics like Wireless.
His Network packet research integrates issues from Throughput, Variable bitrate, Padding, Emulation and Node.
His Decoding methods research includes themes of Encoder, Real-time computing and Parallel computing.
His work deals with themes such as Chaining, Lossy compression, Data compression, Forward error correction and Scheduling, which intersect with Linear network coding.
Martin Reisslein interconnects Network architecture, Control, The Internet and Network traffic control in the investigation of issues within Wireless network.
Between 2016 and 2021, his most popular works were:
- Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research (126 citations)
- Full-Duplex Communication in Cognitive Radio Networks: A Survey (113 citations)
- Integrating Renewable Energy Resources Into the Smart Grid: Recent Developments in Information and Communication Technologies (103 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
The scientist’s investigation covers issues in Computer network, Network packet, Linear network coding, Wireless and Decoding methods.
Martin Reisslein is interested in Network management, which is a field of Computer network.
His work is dedicated to discovering how Linear network coding, Scheduling are connected with Supercomputer, Cache and Energy consumption and other disciplines.
The Wireless study combines topics in areas such as Quality of service and Random access.
His study looks at the relationship between Decoding methods and topics such as Real-time computing, which overlap with Internet Protocol, Algorithm, Data transmission and Redundancy.
The Wireless network study combines topics in areas such as Network architecture, Wireless sensor network, White spaces and Transmission.
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