Jean‐Claude Nunes
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Control and Systems Engineering top 2%
- Radiation top 5%
- Biomedical Engineering
- Co-authors
- Éric DeléchelleP. BunelY. BouaouneOumar NiangSteve GuyotOscar AcostaR. de CrevoisierC. Lafond
- Topics
- Medical Imaging Techniques and Applications (22 papers)Advanced Radiotherapy Techniques (14 papers)Medical Image Segmentation Techniques (12 papers)
In The Last Decade
Jean‐Claude Nunes
47 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 508
- Radiology, Nuclear Medicine and Imaging 408
- Control and Systems Engineering 392
- Radiation 232
- Biomedical Engineering 218
Countries citing papers authored by Jean‐Claude Nunes
This map shows the geographic impact of Jean‐Claude Nunes'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 Jean‐Claude Nunes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Claude Nunes more than expected).
Fields of papers citing papers by Jean‐Claude Nunes
This network shows the impact of papers produced by Jean‐Claude Nunes. 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 Jean‐Claude Nunes. The network helps show where Jean‐Claude Nunes may publish in the future.
Co-authorship network of co-authors of Jean‐Claude Nunes
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Claude Nunes. A scholar is included among the top collaborators of Jean‐Claude Nunes 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 Jean‐Claude Nunes. Jean‐Claude Nunes 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 | 0 | |
| 3 | 2 | |
| 4 | Guiding Unsupervised CBCT-to-CT synthesis using Content and style Representation by an Enhanced Perceptual synthesis (CREPs) loss | 2 |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature reviewbreakdown → | 125 |
| 9 | 16 | |
| 10 | 64 | |
| 11 | 1 | |
| 12 | 30 | |
| 13 | 12 | |
| 14 | 5 | |
| 15 | 15 | |
| 16 | 6 | |
| 17 | 52 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 8 |
About Jean‐Claude Nunes
Jean‐Claude Nunes is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (22 papers), Advanced Radiotherapy Techniques (14 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Radiation (232 citations), Computer Vision and Pattern Recognition (508 citations) and Media Technology (195 citations). Jean‐Claude Nunes has collaborated with scholars based in France, Australia and China. Frequent co-authors include Éric Deléchelle, P. Bunel, Y. Bouaoune, Oumar Niang, Steve Guyot, Oscar Acosta, R. de Crevoisier, C. Lafond, A. Barateau and A. Largent. Their work appears in journals such as Journal of Clinical Oncology, NeuroImage and IEEE Transactions on Signal Processing.
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.