What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Law
- The Internet
Michel C. A. Klein spends much of his time researching Ontology, World Wide Web, RDF, Ontology and Information retrieval.
He interconnects Data science and Knowledge engineering in the investigation of issues within Ontology.
His study explores the link between RDF and topics such as Web Ontology Language that cross with problems in Ontology language.
A large part of his Information retrieval studies is devoted to RDF Schema.
His studies deal with areas such as RDF/XML and Knowledge representation and reasoning as well as RDF Schema.
His research investigates the connection with Upper ontology and areas like Process ontology which intersect with concerns in Ontology-based data integration.
His most cited work include:
- The Semantic Web: the roles of XML and RDF (652 citations)
- Ontology Evolution: Not the Same as Schema Evolution (468 citations)
- Combining and relating ontologies: an analysis of problems and solutions (393 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Ontology, Artificial intelligence, Information retrieval, World Wide Web and Semantic Web.
His study in Ontology extends to Ontology with its themes.
In his study, Mood is strongly linked to Cognitive psychology, which falls under the umbrella field of Artificial intelligence.
His Information retrieval research includes elements of Efficient XML Interchange, Document Structure Description and XML Schema Editor.
The study incorporates disciplines such as Semantics and IDEF5 in addition to World Wide Web.
As part of the same scientific family, Michel C. A. Klein usually focuses on Semantic Web, concentrating on Web standards and intersecting with Web intelligence.
He most often published in these fields:
- Ontology (16.43%)
- Artificial intelligence (15.02%)
- Information retrieval (14.08%)
What were the highlights of his more recent work (between 2016-2021)?
- Psychological intervention (8.45%)
- Applied psychology (7.51%)
- Social network (6.57%)
In recent papers he was focusing on the following fields of study:
Michel C. A. Klein mostly deals with Psychological intervention, Applied psychology, Social network, Intervention and Promotion.
His study in Psychological intervention is interdisciplinary in nature, drawing from both Coaching, Risk analysis, Behavior change and Internet privacy.
His Coaching research is multidisciplinary, incorporating elements of Ontology, Variety, Mechanism and Process management.
Michel C. A. Klein combines subjects such as System dynamics, Computational model, Artificial intelligence, Intelligent decision support system and Machine learning with his study of Behavior change.
His work carried out in the field of Social network brings together such families of science as Physical activity level, Set and Data mining.
His biological study spans a wide range of topics, including Social psychology and Emotional contagion.
Between 2016 and 2021, his most popular works were:
- What technological features are used in smartphone apps that promote physical activity? A review and content analysis (23 citations)
- Active2Gether: A Personalized m-Health Intervention to Encourage Physical Activity (17 citations)
- Identifying influence agents that promote physical activity through the simulation of social network Interventions: Agent-based modeling study (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Law
- The Internet
His primary areas of investigation include Psychological intervention, Applied psychology, Intervention, Promotion and eHealth.
His research in Psychological intervention intersects with topics in Mental health, Mobile device and Public health.
His studies in Intervention integrate themes in fields like Coaching and Social network analysis, Social network.
His Promotion study integrates concerns from other disciplines, such as Multimedia and Internet privacy.
In his research, he undertakes multidisciplinary study on Social processes and Knowledge management.
His work on Knowledge economy as part of general Knowledge management research is frequently linked to Societal impact of nanotechnology, bridging the gap between disciplines.
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