What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
His primary areas of investigation include Distributed computing, Quality of service, Link-state routing protocol, Equal-cost multi-path routing and Computer network.
He works on Link-state routing protocol which deals in particular with Multipath routing.
His work carried out in the field of Multipath routing brings together such families of science as Policy-based routing and Adaptive quality of service multi-hop routing.
His Equal-cost multi-path routing research includes themes of Path vector protocol and Destination-Sequenced Distance Vector routing.
His research in Path vector protocol intersects with topics in Theoretical computer science and Mathematical optimization.
His Computer network study frequently involves adjacent topics like Wireless.
His most cited work include:
- An overview of constraint-based path selection algorithms for QoS routing (297 citations)
- OpenNetMon: Network monitoring in OpenFlow Software-Defined Networks (277 citations)
- Concepts of exact QoS routing algorithms (233 citations)
What are the main themes of his work throughout his whole career to date?
Fernando A. Kuipers mostly deals with Computer network, Distributed computing, Quality of service, Mathematical optimization and The Internet.
His biological study spans a wide range of topics, including Policy-based routing, Routing domain, Network topology, Path and Algorithm.
His studies in Policy-based routing integrate themes in fields like Multipath routing and Destination-Sequenced Distance Vector routing.
His Quality of service study incorporates themes from Traffic engineering, Routing protocol and Multicast.
His work deals with themes such as Time complexity and Shortest path problem, which intersect with Mathematical optimization.
The concepts of his The Internet study are interwoven with issues in Computer security and Multimedia.
He most often published in these fields:
- Computer network (40.14%)
- Distributed computing (29.93%)
- Quality of service (17.01%)
What were the highlights of his more recent work (between 2018-2021)?
- Computer network (40.14%)
- Forwarding plane (3.40%)
- Network packet (5.44%)
In recent papers he was focusing on the following fields of study:
His main research concerns Computer network, Forwarding plane, Network packet, Wireless sensor network and Computer security.
His Computer network study frequently draws connections between related disciplines such as Wireless network.
His study in Network packet is interdisciplinary in nature, drawing from both Real-time computing and Interval.
His work in Wireless sensor network addresses issues such as Overhead, which are connected to fields such as Routing protocol and Software-defined networking.
His Computer security research integrates issues from Telecommunications network and Communications protocol.
His research integrates issues of Traffic engineering and Benchmark in his study of Quality of service.
Between 2018 and 2021, his most popular works were:
- Automated estimation of link quality for LoRa: a remote sensing approach (26 citations)
- Fifty Shades of Congestion Control: A Performance and Interactions Evaluation. (11 citations)
- P4I/O: Intent-Based Networking with P4 (9 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
The scientist’s investigation covers issues in Computer network, Focus, Forwarding plane, Network packet and Computer architecture.
Protocol stack is the focus of his Computer network research.
His biological study spans a wide range of topics, including Network congestion, Bandwidth, Throughput and Server.
His Forwarding plane research includes themes of Quality of service, Real-time computing and Interval.
The study incorporates disciplines such as Anomaly detection, Computer network programming and Parsing in addition to Network packet.
His work carried out in the field of Computer architecture brings together such families of science as The Internet, Step response, Cyber-physical system, Interconnection and Haptic technology.
This overview was generated by a machine learning system which analysed the scientist’s
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