What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Operating system
Giancarlo Fortino spends much of his time researching Wireless sensor network, Distributed computing, Cloud computing, Smart objects and Embedded system.
His Wireless sensor network study combines topics in areas such as Wireless, Scalability, Sensor node, Key distribution in wireless sensor networks and Node.
His Distributed computing research includes elements of Middleware, Systems architecture, Programming paradigm and Robustness.
His research in Cloud computing intersects with topics in Software as a service, Computer network, Mobile device and Online and offline.
His biological study spans a wide range of topics, including Smart environment, Event, Software architecture and Service.
His Embedded system research incorporates themes from Domain, Software framework, Software and Activity recognition.
His most cited work include:
- Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges (405 citations)
- Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications (315 citations)
- Evaluating Critical Security Issues of the IoT World: Present and Future Challenges (235 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Distributed computing, Wireless sensor network, Computer network, Cloud computing and Artificial intelligence.
His work in Distributed computing covers topics such as Java which are related to areas like Mobile agent.
His study on Wireless sensor network also encompasses disciplines like
- Wireless which intersects with area such as Real-time computing,
- Wearable computer that intertwine with fields like Human–computer interaction.
His study looks at the relationship between Computer network and fields such as The Internet, as well as how they intersect with chemical problems.
His Cloud computing study integrates concerns from other disciplines, such as Enhanced Data Rates for GSM Evolution and Mobile device.
Giancarlo Fortino combines subjects such as Middleware and Smart objects with his study of Middleware.
He most often published in these fields:
- Distributed computing (26.47%)
- Wireless sensor network (20.60%)
- Computer network (14.37%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (10.21%)
- Enhanced Data Rates for GSM Evolution (5.29%)
- Cloud computing (13.04%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Enhanced Data Rates for GSM Evolution, Cloud computing, Data science and Distributed computing.
His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning, The Internet and Computer vision.
His Cloud computing research is multidisciplinary, incorporating perspectives in Scalability, Multimedia, Scheme, Server and Mobile device.
Giancarlo Fortino interconnects Field, State, Internetworking, Interoperability and Smart objects in the investigation of issues within Data science.
Borrowing concepts from Resource management, he weaves in ideas under Distributed computing.
His work investigates the relationship between Real-time computing and topics such as Wireless sensor network that intersect with problems in Wearable computer.
Between 2019 and 2021, his most popular works were:
- Environment-fusion multipath routing protocol for wireless sensor networks (68 citations)
- Topology optimization against cascading failures on wireless sensor networks using a memetic algorithm (67 citations)
- Agent-based Internet of Things: State-of-the-art and research challenges (50 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Operating system
Giancarlo Fortino mainly investigates Artificial intelligence, Data science, Deep learning, Enhanced Data Rates for GSM Evolution and Machine learning.
His Artificial intelligence study incorporates themes from Piezoresistive effect and Computer vision.
His studies deal with areas such as Field, Activity recognition, Categorization and Interoperability as well as Data science.
His study in Enhanced Data Rates for GSM Evolution is interdisciplinary in nature, drawing from both Intersection, Cloud computing and Computer security, Blockchain.
His Scalability research focuses on subjects like Communications protocol, which are linked to Distributed computing.
In his research, Wireless sensor network is intimately related to Routing protocol, which falls under the overarching field of Efficient energy use.
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