Bernd Klaeser
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Pathology and Forensic Medicine
- Biomedical Engineering
- Co-authors
- Thomas KrauseRalph A. SchmidJakub WiskirchenMichael D. MuellerPhilipp A. KaufmannCathérine GebhardTobias A. FuchsCarlos J. Guevara
- Topics
- Medical Imaging Techniques and Applications (15 papers)Advanced X-ray and CT Imaging (9 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingObstetrics and GynecologyPulmonary and Respiratory Medicine
- Partner nations
- SwitzerlandGermanyItaly
In The Last Decade
Bernd Klaeser
43 papers receiving 666 citations
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 333
- Pulmonary and Respiratory Medicine 202
- Surgery 182
- Pathology and Forensic Medicine 102
- Biomedical Engineering 97
Countries citing papers authored by Bernd Klaeser
This map shows the geographic impact of Bernd Klaeser'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 Bernd Klaeser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernd Klaeser more than expected).
Fields of papers citing papers by Bernd Klaeser
This network shows the impact of papers produced by Bernd Klaeser. 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 Bernd Klaeser. The network helps show where Bernd Klaeser may publish in the future.
Co-authorship network of co-authors of Bernd Klaeser
This figure shows the co-authorship network connecting the top 25 collaborators of Bernd Klaeser. A scholar is included among the top collaborators of Bernd Klaeser 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 Bernd Klaeser. Bernd Klaeser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 33 | |
| 6 | 59 | |
| 7 | 19 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 34 | |
| 11 | 12 | |
| 12 | 6 | |
| 13 | 25 | |
| 14 | 1 | |
| 15 | 16 | |
| 16 | 5 | |
| 17 | 43 | |
| 18 | 18 | |
| 19 | 0 | |
| 20 | 28 |
About Bernd Klaeser
Bernd Klaeser is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 674 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (15 papers), Advanced X-ray and CT Imaging (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (333 citations), Obstetrics and Gynecology (81 citations) and Pulmonary and Respiratory Medicine (202 citations). Bernd Klaeser has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Thomas Krause, Ralph A. Schmid, Jakub Wiskirchen, Michael D. Mueller, Philipp A. Kaufmann, Cathérine Gebhard, Tobias A. Fuchs, Carlos J. Guevara, Michael Fiechter and Barbara E. Stähli. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Annals of Oncology.
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.