Vincent Daanen
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Radiation top 10%
- Co-authors
- Jocelyne TroccazMichaël BaumannPierre MozerSébastien MartinJean RousseauJean‐Luc DescotesD. GibonJean‐Alexandre Long
- Topics
- Medical Image Segmentation Techniques (8 papers)Prostate Cancer Diagnosis and Treatment (5 papers)AI in cancer detection (3 papers)
- Partner nations
- FranceUnited StatesAustria
In The Last Decade
Vincent Daanen
15 papers receiving 411 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 203
- Pulmonary and Respiratory Medicine 174
- Biomedical Engineering 159
- Radiology, Nuclear Medicine and Imaging 155
- Radiation 49
Countries citing papers authored by Vincent Daanen
This map shows the geographic impact of Vincent Daanen'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 Vincent Daanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Daanen more than expected).
Fields of papers citing papers by Vincent Daanen
This network shows the impact of papers produced by Vincent Daanen. 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 Vincent Daanen. The network helps show where Vincent Daanen may publish in the future.
Co-authorship network of co-authors of Vincent Daanen
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Daanen. A scholar is included among the top collaborators of Vincent Daanen 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 Vincent Daanen. Vincent Daanen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 77 | |
| 2 | 2 | |
| 3 | 96 | |
| 4 | 30 | |
| 5 | 45 | |
| 6 | 6 | |
| 7 | 25 | |
| 8 | 2 | |
| 9 | 25 | |
| 10 | 10 | |
| 11 | 27 | |
| 12 | 1 | |
| 13 | 31 | |
| 14 | 10 | |
| 15 | 40 |
About Vincent Daanen
Vincent Daanen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 15 papers that have together received 427 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (203 citations), Radiology, Nuclear Medicine and Imaging (155 citations) and Radiation (49 citations). Vincent Daanen has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Jocelyne Troccaz, Michaël Baumann, Pierre Mozer, Sébastien Martin, Sébastien Martin, Jean Rousseau, Jean‐Luc Descotes, D. Gibon, Jean‐Alexandre Long and Jean‐Jacques Rambeaud. Their work appears in journals such as Proceedings of the IEEE, European Urology and Medical Physics.
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.