What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Philip K. McKinley spends much of his time researching Distributed computing, Computer network, Multicast, Distance Vector Multicast Routing Protocol and Protocol Independent Multicast.
He interconnects Hypercube, Static routing, Adaptation and Middleware, Software in the investigation of issues within Distributed computing.
His Static routing research integrates issues from Link-state routing protocol, Destination-Sequenced Distance Vector routing and Dynamic Source Routing.
His study on Unicast, Network topology and Node is often connected to Wormhole as part of broader study in Computer network.
His Distance Vector Multicast Routing Protocol study combines topics in areas such as IP multicast and Pragmatic General Multicast.
His Routing domain study integrates concerns from other disciplines, such as Policy-based routing, Equal-cost multi-path routing, Triangular routing and Enhanced Interior Gateway Routing Protocol.
His most cited work include:
- A survey of wormhole routing techniques in direct networks (1289 citations)
- Composing adaptive software (556 citations)
- Unicast-based multicast communication in wormhole-routed networks (260 citations)
What are the main themes of his work throughout his whole career to date?
Philip K. McKinley mainly focuses on Distributed computing, Computer network, Multicast, Artificial intelligence and Adaptation.
He has researched Distributed computing in several fields, including Overlay network, Link-state routing protocol, Network topology, Asynchronous Transfer Mode and Middleware.
His work carried out in the field of Link-state routing protocol brings together such families of science as Static routing, Wireless Routing Protocol and Leader election.
His study in Computer network focuses on Routing protocol, Unicast, Dynamic Source Routing, Routing and Node.
His studies examine the connections between Adaptation and genetics, as well as such issues in Software, with regards to Software deployment and Software engineering.
Philip K. McKinley has included themes like Path vector protocol, Distance-vector routing protocol and Routing Information Protocol in his Zone Routing Protocol study.
He most often published in these fields:
- Distributed computing (39.35%)
- Computer network (30.56%)
- Multicast (21.30%)
What were the highlights of his more recent work (between 2012-2020)?
- Robot (8.80%)
- Evolutionary robotics (4.63%)
- Artificial intelligence (12.96%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Robot, Evolutionary robotics, Artificial intelligence, Artificial neural network and Control engineering.
The Robot study combines topics in areas such as Fin, Control theory, Control theory, Simulation and Evolutionary computation.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Stability, Algorithm and Bridge.
His study focuses on the intersection of Artificial neural network and fields such as Animat with connections in the field of Body size, Terrestrial locomotion and Computational evolution.
His study explores the link between Cyber-physical system and topics such as Robot operating system that cross with problems in Distributed computing.
His Distributed computing study frequently draws connections to other fields, such as Software.
Between 2012 and 2020, his most popular works were:
- Dynamic Modeling of Robotic Fish With a Base-Actuated Flexible Tail (30 citations)
- Evolutionary multiobjective design of a flexible caudal fin for robotic fish. (16 citations)
- Resource abundance and the critical transition to cooperation. (9 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- Artificial intelligence
His primary scientific interests are in Artificial intelligence, Evolutionary computation, Adaptation, Adaptive system and Information system.
Philip K. McKinley combines subjects such as Algorithm, Base and Damper with his study of Artificial intelligence.
His Evolutionary computation study incorporates themes from Evolutionary biology, Natural selection and Mutation.
In his papers, Philip K. McKinley integrates diverse fields, such as Adaptation and Risk analysis.
His studies in Software security assurance integrate themes in fields like Computer security and Control.
His Robotics research includes themes of Control theory and System dynamics.
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