Sebastian Brodehl
- Health Informatics top 0.1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Public Health, Environmental and Occupational Health
- Co-authors
- Daniel Pinto dos SantosBettina BaeßlerSeung‐Hun ChonDavid MaintzDaniel GieseWieland StaabRobert KleinertPeter Mildenberger
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Artificial Intelligence in Healthcare and Education (3 papers)COVID-19 diagnosis using AI (2 papers)
- Partner nations
- GermanySwitzerland
In The Last Decade
Sebastian Brodehl
7 papers receiving 544 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 417
- Radiology, Nuclear Medicine and Imaging 278
- Artificial Intelligence 127
- Biomedical Engineering 75
- Public Health, Environmental and Occupational Health 55
Countries citing papers authored by Sebastian Brodehl
This map shows the geographic impact of Sebastian Brodehl'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 Brodehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Brodehl more than expected).
Fields of papers citing papers by Sebastian Brodehl
This network shows the impact of papers produced by Sebastian Brodehl. 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 Brodehl. The network helps show where Sebastian Brodehl may publish in the future.
Co-authorship network of co-authors of Sebastian Brodehl
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Brodehl. A scholar is included among the top collaborators of Sebastian Brodehl 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 Brodehl. Sebastian Brodehl 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 | 5 | |
| 3 | 5 | |
| 4 | 38 | |
| 5 | 2 | |
| 6 | 35 | |
| 7 | 478 |
About Sebastian Brodehl
Sebastian Brodehl is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 7 papers that have together received 566 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (417 citations), Family Practice (47 citations) and General Dentistry (30 citations). Sebastian Brodehl has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Daniel Pinto dos Santos, Bettina Baeßler, Seung‐Hun Chon, David Maintz, Daniel Giese, Wieland Staab, Robert Kleinert, Peter Mildenberger, Thomas Dratsch and Florian Jungmann. Their work appears in journals such as Remote Sensing, European Radiology and Liver International.
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.