Thomas A. Runkler
Thomas A. Runkler publishes mostly in Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, on topics such as Fuzzy Logic and Control Systems, Neural Networks and Applications and Advanced Clustering Algorithms Research.
- World rank
- #722,918 of 7,710,434 ranked researchers
- Rank in Germany
- #35,623 of 364,343
- Works
- 308
- Citations
- 4.7k
- Citations per work
- 15.3
What does Thomas A. Runkler research?
Thomas A. Runkler's work is mostly in Computer Science (51%), Engineering (14%), Decision Sciences (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 Sciences20064.8%
- Computer Science15851.3%
- Engineering4213.5%
- Everything else9029.2%
- Social Sciences186.0%
- Decision Sciences186.0%
- 1Artificial Intelligence40% of their works
- 2Industrial and Manufacturing Engineering8% of their works
- 3Computer Vision and Pattern Recognition7% of their works
- 4Management Science and Operations Research6% of their works
- 5Control and Systems Engineering5% of their works
- 6Information Systems4% of their works
Research topics
Which keywords describe Thomas A. Runkler's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Evolutionary Algorithms, Clustering Algorithms, Fuzzy Logic Systems, Type-2 Fuzzy Sets, Backpropagation Learning and Self-Organizing Maps.
- Trajectory Data Mining
- Reinforcement Learning
- Face Recognition
- Particle Swarm Optimization
- TOPSIS
- K-means
- Self-Organizing Maps
- Type-2 Fuzzy Sets
- Clustering Algorithms
- Neural Networks
- Deep Learning
- Evolutionary Algorithms
- Fuzzy Logic Systems
- Backpropagation Learning
- Cluster Validation
- Analytic Hierarchy Process
- Differential Evolution
- Dimensionality Reduction
- GPS Trajectories
- Robotics
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
- Deep Learning602 topics
- Neural Networks602 topics
- Evolutionary Algorithms582 topics
- Clustering Algorithms552 topics
- Fuzzy Logic Systems441 topic
- Type-2 Fuzzy Sets441 topic
- Backpropagation Learning381 topic
- Self-Organizing Maps381 topic
- Cluster Validation331 topic
- K-means331 topic
- Analytic Hierarchy Process281 topic
- TOPSIS281 topic
- Differential Evolution251 topic
- Particle Swarm Optimization251 topic
- Dimensionality Reduction231 topic
- Face Recognition231 topic
- GPS Trajectories221 topic
- Reinforcement Learning221 topic
- Robotics221 topic
- Trajectory Data Mining221 topic
Where does Thomas A. Runkler work?
Thomas A. Runkler's main affiliation in the publication record is Siemens (Germany), Germany.
How many publications and citations does Thomas A. Runkler have?
OpenAlex counts 308 works and 4,714 citations for Thomas A. Runkler, an h-index of 32, ranking #722,918 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 Thomas A. Runkler. 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.