What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- The Internet
His scientific interests lie mostly in Computer network, Distributed computing, Mobile computing, Wireless ad hoc network and Mobile ad hoc network.
His study in the field of Wireless sensor network and Node also crosses realms of Energy consumption.
His study in Wireless sensor network is interdisciplinary in nature, drawing from both Key distribution in wireless sensor networks and Algorithm.
His Distributed computing research is multidisciplinary, incorporating elements of Scheduling, Leader follower, Communication channel and Molecular communication.
Takahiro Hara interconnects Network topology and Mobile radio in the investigation of issues within Wireless ad hoc network.
Takahiro Hara frequently studies issues relating to Optimized Link State Routing Protocol and Mobile ad hoc network.
His most cited work include:
- Effective replica allocation in ad hoc networks for improving data accessibility (360 citations)
- Localization algorithms of Wireless Sensor Networks: a survey (335 citations)
- Data Replication for Improving Data Accessibility in Ad Hoc Networks (199 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer network, Distributed computing, Wireless sensor network, Mobile computing and Wireless ad hoc network.
His work on Mobile ad hoc network, Optimized Link State Routing Protocol and Node as part of general Computer network study is frequently linked to Replica, therefore connecting diverse disciplines of science.
The Mobile ad hoc network study combines topics in areas such as Network topology, Adaptive quality of service multi-hop routing, Data mining and Vehicular ad hoc network.
His Distributed computing study frequently draws parallels with other fields, such as Scheduling.
His Wireless sensor network research incorporates themes from Key distribution in wireless sensor networks, Real-time computing, Data collection and Mobile wireless.
His study on Mobile computing also encompasses disciplines like
- Information retrieval most often made with reference to World Wide Web,
- Mobile device which is related to area like Mobile search.
He most often published in these fields:
- Computer network (39.63%)
- Distributed computing (18.07%)
- Wireless sensor network (17.25%)
What were the highlights of his more recent work (between 2016-2021)?
- Computer network (39.63%)
- Artificial intelligence (8.21%)
- Data mining (9.86%)
In recent papers he was focusing on the following fields of study:
Takahiro Hara mainly focuses on Computer network, Artificial intelligence, Data mining, Molecular communication and Real-time computing.
The concepts of his Computer network study are interwoven with issues in Enhanced Data Rates for GSM Evolution, Mesh networking and Cloud computing.
His Data mining study incorporates themes from Scalability and Heuristic.
Within one scientific family, Takahiro Hara focuses on topics pertaining to Distributed computing under Molecular communication, and may sometimes address concerns connected to Mobile computing.
His Mobile computing research incorporates elements of Mobile ad hoc network and Big data.
His research in Real-time computing tackles topics such as Wireless sensor network which are related to areas like Huffman coding, Network packet and Mobile wireless.
Between 2016 and 2021, his most popular works were:
- Performance Evaluation of Leader–Follower-Based Mobile Molecular Communication Networks for Target Detection Applications (48 citations)
- ETC-IoT: Edge-Node-Assisted Transmitting for the Cloud-Centric Internet of Things (23 citations)
- Methods and Applications of Mobile Molecular Communication (21 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- The Internet
Takahiro Hara spends much of his time researching Computer network, Molecular communication, Cloud computing, Mobile ad hoc network and Data mining.
His Computer network research is multidisciplinary, incorporating perspectives in Gateway and Mesh networking.
The various areas that he examines in his Molecular communication study include Information Dissemination, Communication source, Distributed computing and Leader follower.
His work deals with themes such as Routing, Scalability, World Wide Web, Social network and Bandwidth, which intersect with Cloud computing.
His study in Mobile ad hoc network is interdisciplinary in nature, drawing from both Replication, Wireless ad hoc network, Vehicular ad hoc network, Ad hoc On-Demand Distance Vector Routing and Data science.
His Wireless ad hoc network research integrates issues from Training set, Detector, Ensemble learning, Feature extraction and Mobile computing.
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