Flemming Bugert
Flemming Bugert publishes mostly in Artificial Intelligence, Computer Science Applications and Information Systems, on topics such as Intelligent Tutoring Systems and Adaptive Learning, Online Learning and Analytics and Learning Styles and Cognitive Differences.
- World rank
- #5,362,139 of 7,710,434 ranked researchers
- Rank in Germany
- #277,274 of 364,343
- Works
- 16
- Citations
- 36
- Citations per work
- 2.3
What does Flemming Bugert research?
Flemming Bugert's work is mostly in Computer Science (60%), Psychology (14%), Engineering (6%).
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 Sciences1065.6%
- Computer Science1059.9%
- Engineering15.7%
- Social Sciences320.0%
- Psychology214.3%
- Social Sciences15.7%
- Everything else214.4%
- 1Artificial Intelligence26% of their works
- 2Computer Science Applications17% of their works
- 3Information Systems17% of their works
- 4Developmental and Educational Psychology14% of their works
- 5Education6% of their works
- 6Control and Systems Engineering6% of their works
Research topics
- Intelligent Tutoring Systems and Adaptive Learning
- Online Learning and Analytics
- Learning Styles and Cognitive Differences
- Recommender Systems and Techniques
- Educational Technology and Assessment
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
- Bayesian Modeling and Causal Inference
Which keywords describe Flemming Bugert's research?
The keywords of their largest research topics: Intelligent Tutoring Systems, Adaptive Learning, Bayesian Networks, Machine Learning, Affective States, Cognitive-Affective Interaction, Educational Data Mining and Learning Analytics.
- Self-Organizing Maps
- Genetic Programming
- Causal Inference
- Matrix Factorization
- Educational Assessment
- Neural Networks
- Learning Styles
- Learning Analytics
- Cognitive-Affective Interaction
- Machine Learning
- Adaptive Learning
- Intelligent Tutoring Systems
- Bayesian Networks
- Affective States
- Educational Data Mining
- Experiential Learning
- Deep Learning
- Collaborative Filtering
- Fuzzy Logic
- Backpropagation Learning
- Classification
- Graphical Models
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 22 words, with their numbers
- Intelligent Tutoring Systems72 topics
- Adaptive Learning62 topics
- Bayesian Networks62 topics
- Machine Learning62 topics
- Affective States51 topic
- Cognitive-Affective Interaction51 topic
- Educational Data Mining51 topic
- Learning Analytics51 topic
- Experiential Learning41 topic
- Learning Styles41 topic
- Deep Learning32 topics
- Neural Networks32 topics
- Collaborative Filtering21 topic
- Educational Assessment21 topic
- Fuzzy Logic21 topic
- Matrix Factorization21 topic
- Backpropagation Learning11 topic
- Causal Inference11 topic
- Classification11 topic
- Genetic Programming11 topic
- Graphical Models11 topic
- Self-Organizing Maps11 topic
Where does Flemming Bugert work?
Flemming Bugert's main affiliation in the publication record is OTH Regensburg, Germany.
How many publications and citations does Flemming Bugert have?
OpenAlex counts 16 works and 36 citations for Flemming Bugert, an h-index of 4, ranking #5,362,139 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
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