Thomas Villmann
Thomas Villmann publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Neural Networks and Applications, Face and Expression Recognition and Metabolomics and Mass Spectrometry Studies.
- World rank
- #930,282 of 1,633,909 ranked researchers
- Rank in Germany
- #54,249 of 86,443
- Works
- 98
- Citations
- 116
- Citations per work
- 1.2
What does Thomas Villmann research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence36% of their works
- 2Computer Vision and Pattern Recognition11% of their works
- 3Molecular Biology8% of their works
- 4Signal Processing4% of their works
- 5Computational Theory and Mathematics4% of their works
- 6Management Science and Operations Research3% of their works
Research topics
Which keywords describe Thomas Villmann's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Backpropagation Learning, Self-Organizing Maps, Support Vector Machines, Clustering Algorithms, Dimensionality Reduction and Face Recognition.
- Trajectory Data Mining
- Stock Market Prediction
- Metabolomics
- K-means
- Image Analysis
- GPS Trajectories
- Face Recognition
- Clustering Algorithms
- Self-Organizing Maps
- Neural Networks
- Deep Learning
- Backpropagation Learning
- Support Vector Machines
- Dimensionality Reduction
- Cluster Validation
- Hyperspectral
- Image Denoising
- Mass Spectrometry
- Sparse Representations
- Time Series Forecasting
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 20 words, with their numbers
- Deep Learning284 topics
- Neural Networks222 topics
- Backpropagation Learning191 topic
- Self-Organizing Maps191 topic
- Support Vector Machines123 topics
- Clustering Algorithms62 topics
- Dimensionality Reduction61 topic
- Face Recognition61 topic
- Cluster Validation31 topic
- GPS Trajectories31 topic
- Hyperspectral31 topic
- Image Analysis31 topic
- Image Denoising31 topic
- K-means31 topic
- Mass Spectrometry31 topic
- Metabolomics31 topic
- Sparse Representations31 topic
- Stock Market Prediction31 topic
- Time Series Forecasting31 topic
- Trajectory Data Mining31 topic
Where does Thomas Villmann work?
Thomas Villmann's main affiliation in the publication record is Hochschule Mittweida, Germany.
How many publications and citations does Thomas Villmann have?
Science Explorer counts 98 works and 116 citations for Thomas Villmann, ranking #930,282 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.