Sebastian Vogt
- Biomedical Engineering top 1%
- Surgery top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Rabia RamzanBernhard KadenbachGerhard KleinszigJeffrey H. SiewerdsenRainer MoosdorfAli UneriFrank SauerAli Khamene
- Topics
- Medical Imaging Techniques and Applications (39 papers)Advanced X-ray and CT Imaging (37 papers)Medical Imaging and Analysis (33 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingBiomedical EngineeringComputer Vision and Pattern Recognition
- Journals
- PLoS ONEScientific ReportsRadiology
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Sebastian Vogt
208 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 176
- Biomedical Engineering 1.8k
- Surgery 1.1k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Molecular Biology 791
- Computer Vision and Pattern Recognition 594
Countries citing papers authored by Sebastian Vogt
This map shows the geographic impact of Sebastian Vogt'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 Sebastian Vogt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Vogt more than expected).
Fields of papers citing papers by Sebastian Vogt
This network shows the impact of papers produced by Sebastian Vogt. 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 Sebastian Vogt. The network helps show where Sebastian Vogt may publish in the future.
Co-authorship network of co-authors of Sebastian Vogt
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Vogt. A scholar is included among the top collaborators of Sebastian Vogt 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 Sebastian Vogt. Sebastian Vogt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 36 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 4 | |
| 7 | 42 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 24 | |
| 11 | 43 | |
| 12 | 19 | |
| 13 | 57 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 72 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 28 | |
| 20 | 1 |
About Sebastian Vogt
Sebastian Vogt is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 211 papers that have together received 4.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (39 papers), Advanced X-ray and CT Imaging (37 papers) and Medical Imaging and Analysis (33 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Biomedical Engineering (1.8k citations) and Computer Vision and Pattern Recognition (594 citations). Sebastian Vogt has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Rabia Ramzan, Bernhard Kadenbach, Gerhard Kleinszig, Jeffrey H. Siewerdsen, Rainer Moosdorf, Ali Uneri, Frank Sauer, Ali Khamene, Matthias Schnabelrauch and Hubert Büchner. Their work appears in journals such as PLoS ONE, Scientific Reports and Radiology.
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.