What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
The scientist’s investigation covers issues in Wireless sensor network, Computer network, Distributed computing, Real-time computing and Efficient energy use.
Ioannis Chatzigiannakis undertakes multidisciplinary studies into Wireless sensor network and Energy consumption in his work.
His research links Key distribution in wireless sensor networks with Computer network.
His Distributed computing study integrates concerns from other disciplines, such as Software and Web service.
His biological study deals with issues like Mobile computing, which deal with fields such as Theoretical computer science.
The study incorporates disciplines such as Ubiquitous computing, Wireless network, Sensor array and Mobile sink in addition to Ambient intelligence.
His most cited work include:
- Sink mobility protocols for data collection in wireless sensor networks (143 citations)
- Efficient data propagation strategies in wireless sensor networks using a single mobile sink (122 citations)
- WISEBED: An Open Large-Scale Wireless Sensor Network Testbed (90 citations)
What are the main themes of his work throughout his whole career to date?
Ioannis Chatzigiannakis spends much of his time researching Wireless sensor network, Distributed computing, Computer network, Key distribution in wireless sensor networks and Efficient energy use.
His Wireless sensor network research includes elements of Wireless network, Software, Real-time computing and Embedded system.
While the research belongs to areas of Real-time computing, Ioannis Chatzigiannakis spends his time largely on the problem of Event, intersecting his research to questions surrounding Task.
In his research, Fault tolerance is intimately related to Protocol, which falls under the overarching field of Distributed computing.
Ioannis Chatzigiannakis usually deals with Computer network and limits it to topics linked to Wireless ad hoc network and Mobile ad hoc network.
His Network topology research extends to Key distribution in wireless sensor networks, which is thematically connected.
He most often published in these fields:
- Wireless sensor network (37.56%)
- Distributed computing (34.39%)
- Computer network (25.34%)
What were the highlights of his more recent work (between 2016-2021)?
- Context (12.67%)
- Software deployment (12.22%)
- Cloud computing (5.43%)
In recent papers he was focusing on the following fields of study:
His main research concerns Context, Software deployment, Cloud computing, Wearable computer and Data science.
His Context study combines topics from a wide range of disciplines, such as Key, End user and Human–computer interaction.
His work deals with themes such as Margin, Scalability and Real-time computing, which intersect with Cloud computing.
His work carried out in the field of Scalability brings together such families of science as Service, Cross-platform, Wireless sensor network, Communication channel and Firmware.
His Edge computing research is multidisciplinary, relying on both Transmission, Distributed computing and Next-generation network.
His Stream processing study, which is part of a larger body of work in Distributed computing, is frequently linked to Business value, bridging the gap between disciplines.
Between 2016 and 2021, his most popular works were:
- Open source IoT meter devices for smart and energy-efficient school buildings (65 citations)
- An IoT-Based Solution for Monitoring a Fleet of Educational Buildings Focusing on Energy Efficiency. (45 citations)
- On the Deployment of Healthcare Applications over Fog Computing Infrastructure (39 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
His primary areas of investigation include Software deployment, Cloud computing, Wearable computer, Edge computing and Real-time computing.
His biological study spans a wide range of topics, including Agile software development, Scalability, Pattern matching, Margin and Transmission.
His Wearable computer research incorporates elements of Multi-core processor, Data processing and Feature.
His Edge computing research incorporates themes from Edge device, Distributed computing and Next-generation network.
In the subject of general Distributed computing, his work in Stream processing is often linked to Business value, thereby combining diverse domains of study.
The Real-time computing study combines topics in areas such as Random forest and Task.
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