What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
His scientific interests lie mostly in Computer network, Distributed computing, Wireless ad hoc network, Artificial intelligence and Computer security.
Many of his studies on Computer network apply to Mobile telephony as well.
Nei Kato has included themes like Server, Mobile edge computing, Network topology, Wireless network and Heuristic in his Distributed computing study.
The concepts of his Wireless ad hoc network study are interwoven with issues in Mobile ad hoc network, Algorithm and Cellular network.
The Deep learning research Nei Kato does as part of his general Artificial intelligence study is frequently linked to other disciplines of science, such as Process, therefore creating a link between diverse domains of science.
His Computer security research incorporates themes from Information and Communications Technology, Smart grid and Internet privacy.
His most cited work include:
- Device-to-Device Communication in LTE-Advanced Networks: A Survey (456 citations)
- Toward intelligent machine-to-machine communications in smart grid (437 citations)
- A survey of routing attacks in mobile ad hoc networks (414 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Computer network, Distributed computing, Network packet, Wireless and Wireless network.
His Computer network research is multidisciplinary, incorporating perspectives in Wireless ad hoc network, The Internet and Throughput.
His biological study spans a wide range of topics, including Mobile computing and Routing protocol.
In his research, Mobile wireless sensor network is intimately related to Wireless sensor network, which falls under the overarching field of Distributed computing.
His studies in Wireless network integrate themes in fields like Access network and Bandwidth.
The various areas that he examines in his Mobile ad hoc network study include Relay, Optimized Link State Routing Protocol and Vehicular ad hoc network.
He most often published in these fields:
- Computer network (65.09%)
- Distributed computing (24.65%)
- Network packet (14.60%)
What were the highlights of his more recent work (between 2017-2021)?
- Computer network (65.09%)
- Distributed computing (24.65%)
- Wireless (13.21%)
In recent papers he was focusing on the following fields of study:
Computer network, Distributed computing, Wireless, Artificial intelligence and Network performance are his primary areas of study.
His Computer network research incorporates elements of Energy consumption, Transmission, Throughput, Wireless network and The Internet.
His Wireless network research is multidisciplinary, incorporating elements of Bandwidth and Routing protocol.
His study in Distributed computing is interdisciplinary in nature, drawing from both Overhead, Resource allocation, Network topology, Edge computing and Mobile device.
His Wireless research includes elements of Data transmission, Relay, Communication channel, Telecommunications network and Real-time computing.
His Artificial intelligence study combines topics in areas such as Resource, Machine learning, Key and Base station.
Between 2017 and 2021, his most popular works were:
- Space-Air-Ground Integrated Network: A Survey (185 citations)
- Mobile-Edge Computation Offloading for Ultradense IoT Networks (147 citations)
- Networking and Communications in Autonomous Driving: A Survey (115 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
Nei Kato mainly focuses on Distributed computing, Artificial intelligence, Deep learning, Wireless and Server.
He combines subjects such as Simulated annealing, Overhead, Resource allocation and Cluster analysis with his study of Distributed computing.
His Deep learning study integrates concerns from other disciplines, such as Forwarding plane, Routing, Throughput and Network traffic control.
His Wireless study combines topics from a wide range of disciplines, such as Relay, Transmission, The Internet and Communication channel.
His research on Server also deals with topics like
- Edge computing together with Quality of service and Electricity,
- Cloudlet which connect with Scalability,
- Smart city together with Service.
His Quality of service research entails a greater understanding of Computer network.
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