What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
His primary areas of study are Computer network, Cognitive radio, Telecommunications, Wireless and Quality of service.
His biological study spans a wide range of topics, including Wireless network, Radio resource management, Distributed computing and Resource management.
His research in Cognitive radio intersects with topics in Business analysis, Engineering management and Pilot channel.
Klaus Moessner has included themes like Open research and Service level in his Telecommunications study.
The various areas that he examines in his Wireless study include Access network, User experience design, End user and Femtocell.
As part of one scientific family, Klaus Moessner deals mainly with the area of Quality of service, narrowing it down to issues related to the Resource, and often Network virtualization, Backup and Provisioning.
His most cited work include:
- Interference Management in Femtocells (305 citations)
- Enabling smart cities through a cognitive management framework for the internet of things (293 citations)
- An Energy-Efficient Clustering Solution for Wireless Sensor Networks (230 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer network, Distributed computing, Cognitive radio, Quality of service and Wireless.
His studies in Computer network integrate themes in fields like Wireless network, Radio resource management and Communication channel.
His Distributed computing research includes themes of Scheduling, Resource management and Service.
In general Cognitive radio, his work in Spectrum management is often linked to Spectrum linking many areas of study.
His Quality of service research is multidisciplinary, relying on both Resource, Throughput, Power control and Reservation.
His work on Wireless sensor network is being expanded to include thematically relevant topics such as Key distribution in wireless sensor networks.
He most often published in these fields:
- Computer network (39.29%)
- Distributed computing (22.02%)
- Cognitive radio (17.26%)
What were the highlights of his more recent work (between 2015-2021)?
- Computer network (39.29%)
- Distributed computing (22.02%)
- Quality of service (13.69%)
In recent papers he was focusing on the following fields of study:
Klaus Moessner mostly deals with Computer network, Distributed computing, Quality of service, Scalability and Load balancing.
His Computer network research is multidisciplinary, incorporating elements of Wireless, Throughput and Communication channel.
The study incorporates disciplines such as Software deployment, Resource allocation, Reliability and Reinforcement learning in addition to Distributed computing.
In his study, Cellular network is strongly linked to Power control, which falls under the umbrella field of Quality of service.
His Scalability study deals with Complex event processing intersecting with Data stream mining and Big data.
His work focuses on many connections between Load balancing and other disciplines, such as Mobile broadband, that overlap with his field of interest in Unlicensed band.
Between 2015 and 2021, his most popular works were:
- Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook (136 citations)
- Predictive Analytics for Complex IoT Data Streams (60 citations)
- An Ingestion and Analytics Architecture for IoT Applied to Smart City Use Cases (40 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
Klaus Moessner mainly focuses on World Wide Web, Data mining, Smart city, Big data and Data stream mining.
His research integrates issues of Cloud computing systems and Service in his study of World Wide Web.
His research in Smart city tackles topics such as Analytics which are related to areas like Internet privacy, User experience design, Wireless sensor network and Raw data.
Klaus Moessner interconnects Event and Complex event processing in the investigation of issues within Data stream mining.
The Scalability study combines topics in areas such as Systems architecture, Quality of experience, Computer network and Distributed computing.
Computer network is frequently linked to Transmission in his study.
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