What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Software
- Database
His main research concerns Product lifecycle, Systems engineering, Product, Process and Operations research.
His Product lifecycle study incorporates themes from Ontology, Software engineering and Engineering design process.
In his study, Product design specification and Product management is inextricably linked to System lifecycle, which falls within the broad field of Systems engineering.
Many of his studies on Product apply to Emerging technologies as well.
He works mostly in the field of Process, limiting it down to topics relating to Management science and, in certain cases, Field.
His work carried out in the field of New product development brings together such families of science as ISO 15926, Interoperability and Semantic Web.
His most cited work include:
- Closed-loop PLM for intelligent products in the era of the Internet of things (327 citations)
- Research issues on product lifecycle management and information tracking using smart embedded systems (246 citations)
- Product lifecycle management – from its history to its new role (197 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Product lifecycle, Ontology, Systems engineering, Knowledge management and Software engineering.
The study incorporates disciplines such as Product design specification, Application lifecycle management, Product management and Process management in addition to Product lifecycle.
His biological study spans a wide range of topics, including Domain and Data science.
His research investigates the link between Systems engineering and topics such as New product development that cross with problems in Engineering design process.
He combines subjects such as Information and Communications Technology and Order with his study of Knowledge management.
His Software engineering research is multidisciplinary, incorporating perspectives in Petri net and Interoperability.
He most often published in these fields:
- Product lifecycle (22.96%)
- Ontology (20.41%)
- Systems engineering (16.33%)
What were the highlights of his more recent work (between 2018-2021)?
- Zero Defects (5.10%)
- Ontology (20.41%)
- Data science (9.69%)
In recent papers he was focusing on the following fields of study:
Dimitris Kiritsis spends much of his time researching Zero Defects, Ontology, Data science, Quality and Manufacturing engineering.
His Ontology research incorporates themes from Signature, Software deployment, Data integration, Process and Predictive maintenance.
His study on Data science also encompasses disciplines like
- Semantics which is related to area like RDF and Semantic interoperability,
- Industry 4.0 and related Production manager and Interoperability.
He has researched Quality in several fields, including Agent architecture and Process management.
His Manufacturing engineering research is multidisciplinary, relying on both Factory, Variety and Sustainable manufacturing.
His studies in Semantics integrate themes in fields like Systems engineering and Product.
Between 2018 and 2021, his most popular works were:
- Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research (42 citations)
- HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion (10 citations)
- Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach (9 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Software
- Database
Dimitris Kiritsis mostly deals with Zero Defects, Ontology, Data science, Knowledge graph and Task.
The Zero Defects study combines topics in areas such as Reliability engineering and Personalization.
In his study, Dimitris Kiritsis carries out multidisciplinary Ontology and Basic Formal Ontology research.
His Data science study often links to related topics such as Reference data.
The concepts of his Task study are interwoven with issues in Datalog, Theoretical computer science, Space and Type.
His study ties his expertise on Knowledge base together with the subject of Type.
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