Tobias Würfl
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Radiation top 10%
- Computer Vision and Pattern Recognition
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Andreas MaierMathis HoffmannVincent ChristleinKatharina BreiningerMathias UnberathYixing HuangJens WetzlJosef Pfeuffer
- Topics
- Medical Imaging Techniques and Applications (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Retinal Imaging and Analysis (3 papers)
- Partner nations
- GermanyUnited StatesSouth Korea
In The Last Decade
Tobias Würfl
14 papers receiving 279 citations
Peers
Comparison fields: 5 of 63
- Radiology, Nuclear Medicine and Imaging 210
- Biomedical Engineering 139
- Radiation 43
- Computer Vision and Pattern Recognition 39
- Renewable Energy, Sustainability and the Environment 18
Countries citing papers authored by Tobias Würfl
This map shows the geographic impact of Tobias Würfl'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 Tobias Würfl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Würfl more than expected).
Fields of papers citing papers by Tobias Würfl
This network shows the impact of papers produced by Tobias Würfl. 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 Tobias Würfl. The network helps show where Tobias Würfl may publish in the future.
Co-authorship network of co-authors of Tobias Würfl
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Würfl. A scholar is included among the top collaborators of Tobias Würfl 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 Tobias Würfl. Tobias Würfl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 8 | |
| 8 | Anwendungen von Datenkonsistenzbedingungen in der Kegelstrahl-Computertomographie | 1 |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | Deep Learning for Sampling from Arbitrary Probability Distributions. | 1 |
| 13 | 166 | |
| 14 | 54 | |
| 15 | 4 |
About Tobias Würfl
Tobias Würfl is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 281 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Retinal Imaging and Analysis (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (210 citations), Radiation (43 citations) and Biomedical Engineering (139 citations). Tobias Würfl has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Andreas Maier, Mathis Hoffmann, Vincent Christlein, Katharina Breininger, Mathias Unberath, Yixing Huang, Jens Wetzl, Josef Pfeuffer, Andreas Maier and Gregor Körzdörfer. Their work appears in journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Medical Physics.
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.