Joël Schaerer
- Radiology, Nuclear Medicine and Imaging top 5%
- Radiation top 5%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Co-authors
- David SarrutAurora FassiPatrick ClarysseMarco RiboldiG. BaroniJérôme PousinOlivier BernardDenis Friboulet
- Topics
- Medical Imaging Techniques and Applications (10 papers)Medical Image Segmentation Techniques (9 papers)Advanced MRI Techniques and Applications (5 papers)
- Journals
- IEEE Transactions on Image ProcessingInternational Journal of Radiation Oncology*Biology*PhysicsMagnetic Resonance in Medicine
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Joël Schaerer
28 papers receiving 407 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 244
- Radiation 163
- Pulmonary and Respiratory Medicine 129
- Computer Vision and Pattern Recognition 122
- Biomedical Engineering 85
Countries citing papers authored by Joël Schaerer
This map shows the geographic impact of Joël Schaerer'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 Joël Schaerer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joël Schaerer more than expected).
Fields of papers citing papers by Joël Schaerer
This network shows the impact of papers produced by Joël Schaerer. 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 Joël Schaerer. The network helps show where Joël Schaerer may publish in the future.
Co-authorship network of co-authors of Joël Schaerer
This figure shows the co-authorship network connecting the top 25 collaborators of Joël Schaerer. A scholar is included among the top collaborators of Joël Schaerer 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 Joël Schaerer. Joël Schaerer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 59 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 66 | |
| 10 | 2 | |
| 11 | 86 | |
| 12 | VV, a 4D slicer | 4 |
| 13 | 2 | |
| 14 | 47 | |
| 15 | 55 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 3 | |
| 20 | 4 |
About Joël Schaerer
Joël Schaerer is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Radiation, having authored 28 papers that have together received 417 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), Medical Image Segmentation Techniques (9 papers) and Advanced MRI Techniques and Applications (5 papers). The work is most often cited by research in Radiation (163 citations), Radiology, Nuclear Medicine and Imaging (244 citations) and Computer Vision and Pattern Recognition (122 citations). Joël Schaerer has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include David Sarrut, Aurora Fassi, Patrick Clarysse, Marco Riboldi, G. Baroni, Jérôme Pousin, Olivier Bernard, Denis Friboulet, Thomas Dietenbeck and Daniel Barbosa. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.
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.