Thomas Wollmann
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
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- Cell Image Analysis Techniques 8
- Spectroscopy Techniques in Biomedical and Chemical Research 2
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- AI in cancer detection 6
- Co-authors
- K. Rohr (6 shared papers)Karl Rohr (4 shared papers)Manuel Gunkel (4 shared papers)Holger Erfle (4 shared papers)Karsten Rippe (3 shared papers)I‐Fang Chung (2 shared papers)Alexander Sauer (1 shared paper)Christian Ritter (4 shared papers)
In The Last Decade
Thomas Wollmann
14 papers receiving 239 citations
Peers
Comparison fields: 5 of 85
- Biophysics 66
- Computer Vision and Pattern Recognition 73
- Media Technology 31
- Artificial Intelligence 86
- Radiology, Nuclear Medicine and Imaging 39
Countries citing papers authored by Thomas Wollmann
This map shows the geographic impact of Thomas Wollmann'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 Wollmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Wollmann more than expected).
Fields of papers citing papers by Thomas Wollmann
This network shows the impact of papers produced by Thomas Wollmann. 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 Wollmann. The network helps show where Thomas Wollmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Wollmann, 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 | 2019 | 55 | |
| 2 | 2024 | 45 | |
| 3 | 2019 | 27 | |
| 4 | 2016 | 18 | |
| 5 | 2018 | 18 | |
| 6 | 2017 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 13 | |
| 9 | 2017 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2020 | 6 | |
| 13 | 2019 | 6 | |
| 14 | Erfolgreiches Lernen durch gamifiziertes E-Learning | 2014 | 1 |
About Thomas Wollmann
Thomas Wollmann is a scholar working on Biophysics, Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 254 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (8 papers), AI in cancer detection (6 papers), Advanced Neural Network Applications (3 papers), Digital Imaging for Blood Diseases (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Single-cell and spatial transcriptomics (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Biophysics (66 citations), Computer Vision and Pattern Recognition (73 citations), Media Technology (31 citations), Artificial Intelligence (86 citations) and Radiology, Nuclear Medicine and Imaging (39 citations). Thomas Wollmann has collaborated with scholars based in Germany, Sweden and India. Frequent co-authors include K. Rohr, Karl Rohr, Manuel Gunkel, Holger Erfle, Karsten Rippe, I‐Fang Chung, Alexander Sauer, Christian Ritter, Ralf Bartenschlager and Roland Eils. Their work appears in journals such as Medical Image Analysis, Energy and AI, Journal of Biotechnology, International Journal of Computer Assisted Radiology and Surgery and IEEE Access.
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.