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 Fuzzy Logic and Control Systems.
- World rank
- #2,571,866 of 7,710,434 ranked researchers
- Rank in Germany
- #127,387 of 364,343
- Works
- 402
- Citations
- 5.4k
- Citations per work
- 13.4
What does Thomas Villmann research?
Thomas Villmann's work is mostly in Computer Science (57%), Biochemistry, Genetics and Molecular Biology (10%), Engineering (3%).
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 Sciences24059.6%
- Computer Science22856.7%
- Engineering122.9%
- Everything else12130.2%
- Life Sciences4110.2%
- 1Artificial Intelligence36% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Molecular Biology10% of their works
- 4Signal Processing3% of their works
- 5Media Technology3% of their works
- 6Computational Theory and Mathematics2% of their works
Research topics
Which keywords describe Thomas Villmann's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Self-Organizing Maps, Support Vector Machines, Machine Learning, Local Binary Patterns, Feature Selection and Dimensionality Reduction.
- Microarray
- Wavelet Compression
- Protein
- Image Analysis
- Shape Matching
- Type-2 Fuzzy Sets
- Bioinformatics
- Dimensionality Reduction
- Local Binary Patterns
- Support Vector Machines
- Neural Networks
- Deep Learning
- Self-Organizing Maps
- Machine Learning
- Feature Selection
- Face Recognition
- Fuzzy Logic Systems
- Content-Based Image Retrieval
- Hyperspectral
- JPEG2000
- Subcellular Localization
- Gene Expression
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
- Deep Learning2283 topics
- Neural Networks1801 topic
- Self-Organizing Maps1801 topic
- Support Vector Machines1083 topics
- Machine Learning1014 topics
- Local Binary Patterns852 topics
- Feature Selection832 topics
- Dimensionality Reduction601 topic
- Face Recognition601 topic
- Bioinformatics472 topics
- Fuzzy Logic Systems291 topic
- Type-2 Fuzzy Sets291 topic
- Content-Based Image Retrieval251 topic
- Shape Matching251 topic
- Hyperspectral241 topic
- Image Analysis241 topic
- JPEG2000241 topic
- Protein241 topic
- Subcellular Localization241 topic
- Wavelet Compression241 topic
- Gene Expression231 topic
- Microarray231 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?
OpenAlex counts 402 works and 5,391 citations for Thomas Villmann, an h-index of 33, ranking #2,571,866 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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