Katharina Breininger
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Andreas MaierMathias UnberathTobias WürflMathis HoffmannVincent ChristleinYixing HuangMarc AubrevilleChristof Bertram
- Topics
- AI in cancer detection (13 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Cell Image Analysis Techniques (5 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Katharina Breininger
38 papers receiving 441 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 224
- Biomedical Engineering 159
- Artificial Intelligence 104
- Computer Vision and Pattern Recognition 79
- Pulmonary and Respiratory Medicine 46
Countries citing papers authored by Katharina Breininger
This map shows the geographic impact of Katharina Breininger'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 Katharina Breininger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katharina Breininger more than expected).
Fields of papers citing papers by Katharina Breininger
This network shows the impact of papers produced by Katharina Breininger. 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 Katharina Breininger. The network helps show where Katharina Breininger may publish in the future.
Co-authorship network of co-authors of Katharina Breininger
This figure shows the co-authorship network connecting the top 25 collaborators of Katharina Breininger. A scholar is included among the top collaborators of Katharina Breininger 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 Katharina Breininger. Katharina Breininger 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 11 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 9 |
About Katharina Breininger
Katharina Breininger is a scholar working on Biophysics, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 449 indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cell Image Analysis Techniques (5 papers). The work is most often cited by research in Health Informatics (34 citations), Radiology, Nuclear Medicine and Imaging (224 citations) and Radiation (39 citations). Katharina Breininger has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Andreas Maier, Mathias Unberath, Tobias Würfl, Mathis Hoffmann, Vincent Christlein, Yixing Huang, Marc Aubreville, Christof Bertram, Robert Klopfleisch and Frauke Wilm. Their work appears in journals such as Scientific Reports, Annals of the Rheumatic Diseases and IEEE Transactions on Medical Imaging.
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.