What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Manufacturing
His scientific interests lie mostly in Systems engineering, Process management, Human–robot interaction, Robot and Production.
His Computer-integrated manufacturing study in the realm of Systems engineering connects with subjects such as Cloud manufacturing, Reuse and Service.
The study incorporates disciplines such as Network effect and Operations research in addition to Process management.
The concepts of his Human–robot interaction study are interwoven with issues in Workspace and Human–computer interaction.
His Production study combines topics in areas such as Decision support system and State.
His Risk analysis research is multidisciplinary, incorporating perspectives in Agent based systems and Production system.
His most cited work include:
- Agent-based systems for manufacturing (540 citations)
- Agent-based systems for manufacturing (540 citations)
- SPECIES—Co-evolution of products, processes and production systems (184 citations)
What are the main themes of his work throughout his whole career to date?
József Váncza mostly deals with Production, Manufacturing engineering, Process, Mathematical optimization and Operations research.
Within one scientific family, József Váncza focuses on topics pertaining to Knowledge management under Production, and may sometimes address concerns connected to Risk analysis.
His work in the fields of Computer-integrated manufacturing and Advanced manufacturing overlaps with other areas such as Automotive industry and Factory.
His Process research is multidisciplinary, relying on both Industrial engineering, Software engineering and Engineering drawing, Plan.
In Mathematical optimization, József Váncza works on issues like Job shop scheduling, which are connected to Distributed computing.
His studies deal with areas such as Scheduling and Production planning as well as Operations research.
He most often published in these fields:
- Production (24.53%)
- Manufacturing engineering (22.64%)
- Process (19.81%)
What were the highlights of his more recent work (between 2014-2021)?
- Process (19.81%)
- Production (24.53%)
- Robot (11.79%)
In recent papers he was focusing on the following fields of study:
József Váncza mainly investigates Process, Production, Robot, Workflow and Human–robot interaction.
The Process study combines topics in areas such as Feature based and CAD, Engineering drawing.
He has included themes like Domain, Data stream, Decision support system and Risk analysis in his Production study.
József Váncza combines subjects such as Inefficiency and Inventory control with his study of Risk analysis.
His work in Robot covers topics such as Laser beam welding which are related to areas like Automotive engineering and Motion planning.
His Human–robot interaction research incorporates themes from Systems engineering and Human–computer interaction.
Between 2014 and 2021, his most popular works were:
- Human-robot collaborative assembly in cyber-physical production: Classification framework and implementation (75 citations)
- Human-robot collaborative assembly in cyber-physical production: Classification framework and implementation (75 citations)
- Symbiotic human-robot collaborative assembly (71 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Manufacturing
His primary areas of investigation include Robot, Production, Human–robot interaction, Automotive industry and Laser beam welding.
His Robot study is focused on Artificial intelligence in general.
His study in Production is interdisciplinary in nature, drawing from both Risk analysis, State and Decision support system.
His Human–robot interaction research includes elements of Workspace, Systems engineering and Human–computer interaction.
József Váncza integrates many fields, such as Automotive industry, Automotive engineering, Manufacturing engineering, Assembly planning, Industrial engineering and Plan, in his works.
His biological study spans a wide range of topics, including Fixture, Software deployment and Task.
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