S. Lebonvallet
- Computer Vision and Pattern Recognition top 5%
- Neurology top 5%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Co-authors
- Su RuanQingmin LiaoYuemin ZhuNan ZhangN. BonnetJean‐Marc ConstansH. KaplanÉdith Puchelle
- Topics
- Medical Image Segmentation Techniques (8 papers)Brain Tumor Detection and Classification (4 papers)Medical Imaging Techniques and Applications (3 papers)
In The Last Decade
S. Lebonvallet
17 papers receiving 312 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 193
- Neurology 159
- Artificial Intelligence 53
- Radiology, Nuclear Medicine and Imaging 46
- Pulmonary and Respiratory Medicine 36
Countries citing papers authored by S. Lebonvallet
This map shows the geographic impact of S. Lebonvallet'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 S. Lebonvallet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Lebonvallet more than expected).
Fields of papers citing papers by S. Lebonvallet
This network shows the impact of papers produced by S. Lebonvallet. 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 S. Lebonvallet. The network helps show where S. Lebonvallet may publish in the future.
Co-authorship network of co-authors of S. Lebonvallet
This figure shows the co-authorship network connecting the top 25 collaborators of S. Lebonvallet. A scholar is included among the top collaborators of S. Lebonvallet 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 S. Lebonvallet. S. Lebonvallet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 128 | |
| 2 | 8 | |
| 3 | 29 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 54 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 26 | |
| 13 | 13 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 28 |
About S. Lebonvallet
S. Lebonvallet is a scholar working on Structural Biology, Biophysics and Neurology, having authored 17 papers that have together received 336 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Brain Tumor Detection and Classification (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Neurology (159 citations), Computer Vision and Pattern Recognition (193 citations) and Structural Biology (13 citations). S. Lebonvallet has collaborated with scholars based in France, China and Belgium. Frequent co-authors include Su Ruan, Qingmin Liao, Yuemin Zhu, Nan Zhang, N. Bonnet, Jean‐Marc Constans, H. Kaplan, Édith Puchelle, Sabine Girod and Nan Zhang. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Ultramicroscopy and Histochemistry and Cell Biology.
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.