Christian Bluethgen
- Health Informatics top 0.2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Curtis P. LanglotzJean-Benoit DelbrouckUrs J. MuehlematterKerstin Noëlle VokingerAkshay ChaudhariRoberto CannellaLorenzo UggaBurak Koçak
- Topics
- Artificial Intelligence in Healthcare and Education (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Biomedical Text Mining and Ontologies (3 papers)
- Partner nations
- SwitzerlandUnited StatesGreece
In The Last Decade
Christian Bluethgen
11 papers receiving 554 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Health Informatics 283
- Artificial Intelligence 265
- Radiology, Nuclear Medicine and Imaging 207
- Molecular Biology 53
- Biomedical Engineering 46
Countries citing papers authored by Christian Bluethgen
This map shows the geographic impact of Christian Bluethgen'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 Christian Bluethgen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Bluethgen more than expected).
Fields of papers citing papers by Christian Bluethgen
This network shows the impact of papers produced by Christian Bluethgen. 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 Christian Bluethgen. The network helps show where Christian Bluethgen may publish in the future.
Co-authorship network of co-authors of Christian Bluethgen
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Bluethgen. A scholar is included among the top collaborators of Christian Bluethgen 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 Christian Bluethgen. Christian Bluethgen 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 | 28 | |
| 3 | 8 | |
| 4 | Adapted large language models can outperform medical experts in clinical text summarizationbreakdown → | 252 |
| 5 | 56 | |
| 6 | 101 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 63 | |
| 10 | 30 | |
| 11 | 8 |
About Christian Bluethgen
Christian Bluethgen is a scholar working on Health Informatics, Family Practice and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 566 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Health Informatics (283 citations), Radiology, Nuclear Medicine and Imaging (207 citations) and Artificial Intelligence (265 citations). Christian Bluethgen has collaborated with scholars based in Switzerland, United States and Greece. Frequent co-authors include Curtis P. Langlotz, Jean-Benoit Delbrouck, Urs J. Muehlematter, Kerstin Noëlle Vokinger, Akshay Chaudhari, Roberto Cannella, Lorenzo Ugga, Burak Koçak, Renato Cuocolo and Michail E. Klontzas. Their work appears in journals such as Nature Medicine, European Radiology and Nature Biomedical Engineering.
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.