Kevin Nagorny
Kevin Nagorny publishes mostly in Industrial and Manufacturing Engineering, Management Information Systems and Artificial Intelligence, on topics such as Flexible and Reconfigurable Manufacturing Systems, Digital Transformation in Industry and Manufacturing Process and Optimization.
- World rank
- #4,283,098 of 7,710,434 ranked researchers
- Rank in Germany
- #216,799 of 364,343
- Works
- 22
- Citations
- 255
- Citations per work
- 11.6
What does Kevin Nagorny research?
Kevin Nagorny's work is mostly in Engineering (45%), Computer Science (21%), Business, Management and Accounting (19%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences1566.0%
- Engineering1045.3%
- Computer Science520.7%
- Social Sciences418.8%
- Everything else315.2%
- 1Industrial and Manufacturing Engineering45% of their works
- 2Management Information Systems11% of their works
- 3Artificial Intelligence9% of their works
- 4Management of Technology and Innovation8% of their works
- 5Information Systems8% of their works
- 6Computer Networks and Communications4% of their works
Research topics
- Flexible and Reconfigurable Manufacturing Systems
- Digital Transformation in Industry
- Manufacturing Process and Optimization
- Big Data and Business Intelligence
- Advanced Software Engineering Methodologies
- Service-Oriented Architecture and Web Services
- IoT and Edge/Fog Computing
- Industrial Vision Systems and Defect Detection
Which keywords describe Kevin Nagorny's research?
The keywords of their largest research topics: Big Data, Supply Chain Management, Internet of Things, Digital Twin, Flexible Automation, Reconfigurable Manufacturing Systems, Smart Manufacturing and Analytics.
- Machine Vision
- Fabric Defect Detection
- Semantic Web Services
- QoS-Aware Middleware
- Design for Manufacture
- Business Intelligence
- Analytics
- Reconfigurable Manufacturing Systems
- Digital Twin
- Supply Chain Management
- Big Data
- Internet of Things
- Flexible Automation
- Smart Manufacturing
- Assembly Planning
- Deep Learning
- Autonomic Computing
- Self-Adaptive Systems
- Edge Computing
- Fog Computing
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 20 words, with their numbers
- Big Data132 topics
- Supply Chain Management132 topics
- Internet of Things112 topics
- Digital Twin91 topic
- Flexible Automation91 topic
- Reconfigurable Manufacturing Systems91 topic
- Smart Manufacturing91 topic
- Analytics41 topic
- Assembly Planning41 topic
- Business Intelligence41 topic
- Deep Learning42 topics
- Design for Manufacture41 topic
- Autonomic Computing31 topic
- QoS-Aware Middleware31 topic
- Self-Adaptive Systems31 topic
- Semantic Web Services31 topic
- Edge Computing21 topic
- Fabric Defect Detection21 topic
- Fog Computing21 topic
- Machine Vision21 topic
Where does Kevin Nagorny work?
Kevin Nagorny's main affiliation in the publication record is Institute for Applied Systems Technology Bremen, Germany.
How many publications and citations does Kevin Nagorny have?
OpenAlex counts 22 works and 255 citations for Kevin Nagorny, an h-index of 7, ranking #4,283,098 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about Kevin Nagorny. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.