What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
His scientific interests lie mostly in Computer network, Distributed computing, Server, Electric power and Scalability.
His Computer network study frequently draws connections between adjacent fields such as Wireless network.
His studies in Distributed computing integrate themes in fields like Wireless mesh network, Application software and Protocol data unit.
His work in the fields of Server, such as Server farm, intersects with other areas such as Electric energy consumption.
Makoto Takizawa interconnects Overlay network and Cluster analysis in the investigation of issues within Scalability.
The concepts of his Protocol study are interwoven with issues in Group, Computer security, Information flow, Relation and Value.
His most cited work include:
- A Model for Reducing Power Consumption in Peer-to-Peer Systems (173 citations)
- Process Allocation Algorithms for Saving Power Consumption in Peer-to-Peer Systems (159 citations)
- A Survey on Clustering Algorithms for Wireless Sensor Networks (149 citations)
What are the main themes of his work throughout his whole career to date?
Makoto Takizawa mainly investigates Computer network, Distributed computing, Server, Protocol and Process.
His Computer network research is multidisciplinary, incorporating perspectives in Overlay network and Wireless network.
His studies in Distributed computing integrate themes in fields like Scalability and Wireless mesh network.
His work on Server farm as part of general Server research is frequently linked to Electric energy consumption and Electric power, bridging the gap between disciplines.
Makoto Takizawa interconnects Object, Relation, Group and Information flow in the investigation of issues within Protocol.
His work carried out in the field of Process brings together such families of science as Real-time computing and Computation.
He most often published in these fields:
- Computer network (42.68%)
- Distributed computing (39.70%)
- Server (22.29%)
What were the highlights of his more recent work (between 2016-2021)?
- Computer network (42.68%)
- Server (22.29%)
- Distributed computing (39.70%)
In recent papers he was focusing on the following fields of study:
Makoto Takizawa focuses on Computer network, Server, Distributed computing, Electric energy consumption and Node.
His Computer network study combines topics in areas such as Wireless network and Fuzzy logic.
Makoto Takizawa has researched Server in several fields, including Virtual machine, Process, Tree, Algorithm and Host.
A large part of his Distributed computing studies is devoted to Replication.
His Node research is multidisciplinary, relying on both Wireless, Particle swarm optimization, Simulation, Simulation system and Wireless mesh network.
The study incorporates disciplines such as Information flow and Object in addition to Protocol.
Between 2016 and 2021, his most popular works were:
- An energy-efficient model for fog computing in the Internet of Things (IoT) (51 citations)
- Implementation of an intelligent hybrid simulation systems for WMNs based on particle swarm optimization and simulated annealing: performance evaluation for different replacement methods (40 citations)
- Design and Implementation of a Hybrid Intelligent System Based on Particle Swarm Optimization and Distributed Genetic Algorithm (31 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His scientific interests lie mostly in Server, Distributed computing, Electric energy consumption, Computer network and Process.
His Server research includes elements of Virtual machine, Tree, Algorithm, Fog computing and Host.
In Algorithm, Makoto Takizawa works on issues like Cluster analysis, which are connected to Instruction set.
His work deals with themes such as Genetic algorithm, Particle swarm optimization, Simulation system, Node and Wireless mesh network, which intersect with Distributed computing.
His Computer network research incorporates elements of Wireless and Wireless network.
His study looks at the relationship between Process and fields such as Scalability, as well as how they intersect with chemical problems.
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