Philipp Diebold
Philipp Diebold publishes mostly in Information Systems, Management Information Systems and Artificial Intelligence, on topics such as Software Engineering Techniques and Practices, Software Engineering Research and Advanced Software Engineering Methodologies.
- World rank
- #1,217,437 of 1,633,909 ranked researchers
- Rank in Germany
- #68,882 of 86,443
- Works
- 17
- Citations
- 30
- Citations per work
- 1.8
What does Philipp Diebold research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Information Systems48% of their works
- 2Management Information Systems16% of their works
- 3Artificial Intelligence8% of their works
- 4Health Informatics4% of their works
- 5Safety Research4% of their works
- 6Organizational Behavior and Human Resource Management4% of their works
Research topics
- Software Engineering Techniques and Practices
- Software Engineering Research
- Advanced Software Engineering Methodologies
- Software System Performance and Reliability
- Model-Driven Software Engineering Techniques
- Artificial Intelligence in Healthcare and Education
- Big Data and Business Intelligence
- Business Process Modeling and Analysis
Which keywords describe Philipp Diebold's research?
The keywords of their largest research topics: Requirements Engineering, Agile Software Development, Empirical Studies, Machine Learning, Code Clone Detection, Refactoring, Autonomic Computing and Big Data.
- Performance Prediction
- Log Analysis
- Domain-Specific Languages
- Business Intelligence
- Analytics
- Big Data
- Refactoring
- Machine Learning
- Agile Software Development
- Requirements Engineering
- Empirical Studies
- Code Clone Detection
- Autonomic Computing
- Self-Adaptive Systems
- Artificial Intelligence
- Business Process Management
- Healthcare
- Model-Driven Engineering
- Workflow Mining
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.
All 19 words, with their numbers
- Requirements Engineering102 topics
- Agile Software Development81 topic
- Empirical Studies81 topic
- Machine Learning52 topics
- Code Clone Detection41 topic
- Refactoring41 topic
- Autonomic Computing21 topic
- Big Data22 topics
- Self-Adaptive Systems21 topic
- Analytics11 topic
- Artificial Intelligence11 topic
- Business Intelligence11 topic
- Business Process Management11 topic
- Domain-Specific Languages11 topic
- Healthcare11 topic
- Log Analysis11 topic
- Model-Driven Engineering11 topic
- Performance Prediction11 topic
- Workflow Mining11 topic
Where does Philipp Diebold work?
Philipp Diebold's main affiliation in the publication record is Fraunhofer Institute for Experimental Software Engineering, Germany.
How many publications and citations does Philipp Diebold have?
Science Explorer counts 17 works and 30 citations for Philipp Diebold, ranking #1,217,437 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised 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 are in the interactive view on the map. Is this your page? Request a correction or removal.