What is he best known for?
The fields of study he is best known for:
- The Internet
- Operating system
- Artificial intelligence
His primary areas of study are World Wide Web, Semantic grid, Workflow, Semantic Web and Knowledge management.
The concepts of his World Wide Web study are interwoven with issues in Ontology and Human–computer interaction.
His studies in Semantic grid integrate themes in fields like Distributed computing, Meaning, Mythology, Grid computing and Semantic computing.
David De Roure has researched Workflow in several fields, including Software engineering, Social web and Virtual research environment.
His studies deal with areas such as Metadata and Database as well as Semantic Web.
His Knowledge management research includes elements of Service-orientation, Resource management, Service provider, Business model and Data science.
His most cited work include:
- Ontological user profiling in recommender systems (623 citations)
- The design and realisation of the Experimentmy Virtual Research Environment for social sharing of workflows (405 citations)
- Why linked data is not enough for scientists (251 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in World Wide Web, Data science, Workflow, Semantic Web and Multimedia.
His study connects Service and World Wide Web.
David De Roure has included themes like Software, Metadata, Software engineering and Web service in his Workflow study.
His Semantic Web study is focused on Information retrieval in general.
His research integrates issues of Web intelligence, Semantic Web Stack and Data Web in his study of Social Semantic Web.
His research in Semantic grid intersects with topics in e-Science, Grid computing and Semantic computing.
He most often published in these fields:
- World Wide Web (33.33%)
- Data science (13.42%)
- Workflow (13.20%)
What were the highlights of his more recent work (between 2016-2021)?
- Industry 4.0 (3.13%)
- Artificial intelligence (4.47%)
- Data science (13.42%)
In recent papers he was focusing on the following fields of study:
David De Roure spends much of his time researching Industry 4.0, Artificial intelligence, Data science, Enhanced Data Rates for GSM Evolution and Risk assessment.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Conceptual framework and Resilience.
David De Roure does research in Data science, focusing on Social machines specifically.
As a part of the same scientific study, David De Roure usually deals with the Risk assessment, concentrating on Risk analysis and frequently concerns with Technological change.
His Argument research includes themes of Key and Enterprise system, Knowledge management.
David De Roure interconnects Ontology, Algorithmic composition and Semantic Web in the investigation of issues within Human–computer interaction.
Between 2016 and 2021, his most popular works were:
- Future developments in cyber risk assessment for the internet of things (59 citations)
- Security Risk Assessment in Internet of Things Systems (56 citations)
- Mapping the values of IoT (44 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Operating system
- Artificial intelligence
His scientific interests lie mostly in Risk analysis, Economic impact analysis, Grounded theory, Risk assessment and Impact assessment.
His Risk analysis research incorporates themes from Technological change, Cyberspace and Security management.
David De Roure incorporates Grounded theory and Empirical research in his research.
His study in Empirical research is interdisciplinary in nature, drawing from both Analytics, Artificial intelligence and Key.
David De Roure focuses mostly in the field of Risk assessment, narrowing it down to matters related to Design process and, in some cases, Business intelligence.
David De Roure combines subjects such as Risk analysis, Cyber-Insurance and Knowledge management with his study of Corporate governance.
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