What is he best known for?
The fields of study he is best known for:
- Database
- Artificial intelligence
- Operating system
Matthias Jarke focuses on Requirements engineering, Knowledge management, Software engineering, Database and Decision support system.
His Requirements engineering research is multidisciplinary, relying on both Scenario, Non-functional requirement and Systems engineering.
His research in Knowledge management intersects with topics in Sketch, World Wide Web and Web 2.0.
He has researched Software engineering in several fields, including Distributed computing, Software development, Domain engineering, Knowledge engineering and Process.
His study on Data warehouse and Conceptual model is often connected to Combined use as part of broader study in Database.
His Data warehouse study combines topics from a wide range of disciplines, such as Data science, Data quality, Metadata and Dimensional modeling.
His most cited work include:
- Toward reference models for requirements traceability (792 citations)
- Telos: representing knowledge about information systems (712 citations)
- Query Optimization in Database Systems (598 citations)
What are the main themes of his work throughout his whole career to date?
Matthias Jarke spends much of his time researching Software engineering, Knowledge management, World Wide Web, Process and Database.
He specializes in Software engineering, namely ConceptBase.
Matthias Jarke interconnects Multimedia and Mobile search in the investigation of issues within World Wide Web.
His Process study incorporates themes from Systems engineering and Process management.
Matthias Jarke does research in Database, focusing on Data warehouse specifically.
His Requirements engineering study integrates concerns from other disciplines, such as Non-functional requirement and Requirements analysis.
He most often published in these fields:
- Software engineering (16.34%)
- Knowledge management (14.87%)
- World Wide Web (13.40%)
What were the highlights of his more recent work (between 2013-2021)?
- Data science (9.31%)
- Knowledge management (14.87%)
- Software engineering (16.34%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Data science, Knowledge management, Software engineering, Artificial intelligence and World Wide Web.
His Data science study also includes fields such as
- Data integration together with Data warehouse, Enterprise information integration, IDEF1X, Information integration and Ontology-based data integration,
- Information systems research, Digitization and Service most often made with reference to Interoperability.
The study incorporates disciplines such as Modeling language and Data management in addition to Knowledge management.
The concepts of his Software engineering study are interwoven with issues in Software system, Requirements engineering, Software development and Usability.
Matthias Jarke mostly deals with Requirements elicitation in his studies of Requirements engineering.
His research in Web application tackles topics such as Process which are related to areas like Process management.
Between 2013 and 2021, his most popular works were:
- Towards an Infrastructure Enabling the Internet of Production (30 citations)
- IoT Link: An Internet of Things Prototyping Toolkit (21 citations)
- Designing a multi-sided data platform: findings from the International Data Spaces case (15 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Database
His scientific interests lie mostly in Data science, Knowledge management, World Wide Web, Software engineering and Process.
The Data science study combines topics in areas such as Management science, Ontology-based data integration, Data integration, Metamodeling and Enterprise information integration.
He combines subjects such as End-user development, Open-source software development, Modeling language and Data management with his study of Knowledge management.
Matthias Jarke has researched World Wide Web in several fields, including Composition, Architecture and Human–computer interaction.
His Software engineering study combines topics from a wide range of disciplines, such as Software quality, Software development, Usability and Source code.
He has included themes like Scalability, Process management, Stakeholder, Corporate governance and Sociology of scientific knowledge in his Process study.
This overview was generated by a machine learning system which analysed the scientist’s
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