Thomas Villmann
Impact in
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Machine Learning and Data Classification
Papers in
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- Neural Networks and Applications 92
- Fuzzy Logic and Control Systems 18
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- Face and Expression Recognition 34
- Image Retrieval and Classification Techniques 14
- Advanced Data Compression Techniques 13
- Co-authors
- Barbara HammerMichael BiehlFrank-Michael SchleifMarc StrickertH.-U. BauerMarika KadenErzsébet MerényiKerstin Bunte
- Journals
- Neurocomputing (24 papers)Neural Networks (5 papers)Neural Computing and Applications (3 papers)Artificial Intelligence in Medicine (2 papers)Journal of Neurology (2 papers)
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Thomas Villmann
198 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 170
- Computer Vision and Pattern Recognition 961
- Artificial Intelligence 1.5k
- Media Technology 267
- Signal Processing 201
- Analytical Chemistry 149
Countries citing papers authored by Thomas Villmann
This map shows the geographic impact of Thomas Villmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Villmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Villmann more than expected).
Fields of papers citing papers by Thomas Villmann
This network shows the impact of papers produced by Thomas Villmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Villmann. The network helps show where Thomas Villmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Villmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 7 | |
| 8 | Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components | 2019 | 9 |
| 9 | Learning Vector Quantization Methods for Interpretable Classification Learning and Multilayer Networks. | 2018 | 4 |
| 10 | Median-LVQ for classification of dissimilarity data based on ROC-optimization. | 2015 | 1 |
| 11 | Utilization of Chemical Structure Information for Analysis of Spectra Composites | 2014 | 1 |
| 12 | A sparse kernelized matrix learning vector quantization model for human activity recognition. | 2013 | 22 |
| 13 | Border Sensitive Fuzzy Vector Quantization in Semi-Supervised Learning | 2013 | 1 |
| 14 | Event related potentials and cognitive evaluation in wilson\'s disease with and without neurological manifestation | 2011 | 3 |
| 15 | 2011 | 45 | |
| 16 | Median Variant of Fuzzy c-Means | 2009 | 1 |
| 17 | Functional Vector Quantization by Neural Maps | 2009 | 4 |
| 18 | Magnification Control in Relational Neural Gas | 2008 | 3 |
| 19 | Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas | 2006 | 6 |
| 20 | Classification using non standard metrics | 2005 | 11 |
About Thomas Villmann
Thomas Villmann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Signal Processing and Analytical Chemistry, having authored 211 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (92 papers), Face and Expression Recognition (34 papers), Fuzzy Logic and Control Systems (18 papers), Image Retrieval and Classification Techniques (14 papers), Remote-Sensing Image Classification (14 papers), Trace Elements in Health (13 papers), Advanced Data Compression Techniques (13 papers) and Machine Learning in Bioinformatics (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (961 citations), Artificial Intelligence (1.5k citations), Media Technology (267 citations), Signal Processing (201 citations) and Analytical Chemistry (149 citations). Thomas Villmann has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Barbara Hammer, Michael Biehl, Frank-Michael Schleif, Marc Strickert, H.-U. Bauer, Marika Kaden, Erzsébet Merényi, Kerstin Bunte, Ralf Der and Sven Haase. Their work appears in journals such as Neurocomputing, Neural Networks, Neural Computing and Applications, Artificial Intelligence in Medicine and Journal of Neurology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.