Thomas Dietenbeck
- Cardiology and Cardiovascular Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Co-authors
- Olivier BernardDenis FribouletDaniel BarbosaJan D’hoogeJoël SchaererBrecht HeydeMartino AlessandriniNadjia Kachenoura
- Topics
- Medical Image Segmentation Techniques (12 papers)Cardiovascular Health and Disease Prevention (10 papers)Cardiac Valve Diseases and Treatments (9 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingJournal of Hypertension
In The Last Decade
Thomas Dietenbeck
32 papers receiving 345 citations
Peers
Comparison fields: 5 of 47
- Cardiology and Cardiovascular Medicine 208
- Radiology, Nuclear Medicine and Imaging 167
- Computer Vision and Pattern Recognition 130
- Pulmonary and Respiratory Medicine 77
- Biomedical Engineering 64
Countries citing papers authored by Thomas Dietenbeck
This map shows the geographic impact of Thomas Dietenbeck'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 Dietenbeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Dietenbeck more than expected).
Fields of papers citing papers by Thomas Dietenbeck
This network shows the impact of papers produced by Thomas Dietenbeck. 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 Dietenbeck. The network helps show where Thomas Dietenbeck may publish in the future.
Co-authorship network of co-authors of Thomas Dietenbeck
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Dietenbeck. A scholar is included among the top collaborators of Thomas Dietenbeck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Dietenbeck. Thomas Dietenbeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 30 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 15 | |
| 16 | 14 | |
| 17 | 42 | |
| 18 | 3 | |
| 19 | 86 | |
| 20 | 53 |
About Thomas Dietenbeck
Thomas Dietenbeck is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 353 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Cardiovascular Health and Disease Prevention (10 papers) and Cardiac Valve Diseases and Treatments (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (208 citations), Radiology, Nuclear Medicine and Imaging (167 citations) and Computer Vision and Pattern Recognition (130 citations). Thomas Dietenbeck has collaborated with scholars based in France, Belgium and Argentina. Frequent co-authors include Olivier Bernard, Denis Friboulet, Daniel Barbosa, Jan D’hooge, Joël Schaerer, Brecht Heyde, Martino Alessandrini, Nadjia Kachenoura, Alban Redheuil and Alain Giron. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Journal of Hypertension.
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.