What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Computer network
Marco Mamei mainly investigates Ubiquitous computing, Distributed computing, Middleware, Multi-agent system and Middleware.
His Ubiquitous computing research is multidisciplinary, incorporating elements of Context awareness, Autonomous agent, World Wide Web and Data science.
His research integrates issues of Theoretical computer science, Mobile computing and Dynamic network analysis in his study of Distributed computing.
His work in Middleware tackles topics such as Frame which are related to areas like Contextual design and Pervasive systems.
Marco Mamei interconnects Self-organization, Key and Knowledge management in the investigation of issues within Multi-agent system.
His study explores the link between Context-aware pervasive systems and topics such as Service that cross with problems in Human–computer interaction.
His most cited work include:
- Programming pervasive and mobile computing applications: The TOTA approach (189 citations)
- Case studies for self-organization in computer science (160 citations)
- Programming pervasive and mobile computing applications with the TOTA middleware (151 citations)
What are the main themes of his work throughout his whole career to date?
Marco Mamei mainly focuses on Ubiquitous computing, Distributed computing, World Wide Web, Middleware and Key.
His Ubiquitous computing research includes elements of Context awareness, Knowledge management and Self-organization.
His work in Self-organization addresses subjects such as Data science, which are connected to disciplines such as Computer security and Frame.
The study incorporates disciplines such as Variety, Wireless sensor network, Multi-agent system and Mobile computing in addition to Distributed computing.
His World Wide Web study incorporates themes from Exploit, Contextual design and Service.
As a part of the same scientific study, he usually deals with the Key, concentrating on Data mining and frequently concerns with Sensor fusion and Cellular network.
He most often published in these fields:
- Ubiquitous computing (32.99%)
- Distributed computing (28.43%)
- World Wide Web (14.72%)
What were the highlights of his more recent work (between 2016-2021)?
- Argumentation theory (2.54%)
- Data mining (8.63%)
- Synchronization (2.03%)
In recent papers he was focusing on the following fields of study:
Marco Mamei spends much of his time researching Argumentation theory, Data mining, Synchronization, Social capital and Cellular network.
His study on Argumentation theory is intertwined with other disciplines of science such as Human–computer interaction, Smart objects, Knowledge management, Patient Empowerment and Data science.
Marco Mamei works mostly in the field of Human–computer interaction, limiting it down to concerns involving State and, occasionally, Key, Multi-agent system, Control, Situated and Intelligent sensor.
He has included themes like Ranging, Sensor fusion and Mobile phone in his Data mining study.
His research integrates issues of Classification methods, Official statistics, Markov chain and Domain knowledge in his study of Cellular network.
His Software deployment research is multidisciplinary, relying on both Exploit and Middleware.
Between 2016 and 2021, his most popular works were:
- An Argumentation-Based Perspective Over the Social IoT (21 citations)
- Evaluating Origin-Destination Matrices Obtained from CDR Data. (17 citations)
- On Recommending Opportunistic Rides (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Computer network
Marco Mamei focuses on Data mining, Smart objects, Argumentation theory, Trip generation and Sequence.
His work deals with themes such as Precision and recall, Ranging, Computational intelligence and Social network, which intersect with Data mining.
Marco Mamei has researched Smart objects in several fields, including Computer security, Intelligent sensor, State and Human–computer interaction.
Argumentation theory overlaps with fields such as Management science, State of affairs, Perspective, Order and Negotiation in his research.
He performs multidisciplinary study in the fields of Trip generation and Matrix via his papers.
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