Jeanpierre Guédon
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Aerospace Engineering
- Biomedical Engineering
- Radiation
- Co-authors
- Nicolas NormandAmir HashemiFlorent AutrusseauY. BizaisDominique BarbaMyriam ServièresStéphane BeaumontImants Svalbe
- Topics
- Medical Imaging Techniques and Applications (20 papers)Digital Image Processing Techniques (17 papers)Medical Image Segmentation Techniques (16 papers)
- Journals
- IEEE Signal Processing LettersLecture notes in computer scienceComputerized Medical Imaging and Graphics
- Partner nations
- FranceAustraliaUnited States
In The Last Decade
Jeanpierre Guédon
42 papers receiving 214 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 152
- Radiology, Nuclear Medicine and Imaging 83
- Aerospace Engineering 45
- Biomedical Engineering 37
- Radiation 24
Countries citing papers authored by Jeanpierre Guédon
This map shows the geographic impact of Jeanpierre Guédon'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 Jeanpierre Guédon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeanpierre Guédon more than expected).
Fields of papers citing papers by Jeanpierre Guédon
This network shows the impact of papers produced by Jeanpierre Guédon. 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 Jeanpierre Guédon. The network helps show where Jeanpierre Guédon may publish in the future.
Co-authorship network of co-authors of Jeanpierre Guédon
This figure shows the co-authorship network connecting the top 25 collaborators of Jeanpierre Guédon. A scholar is included among the top collaborators of Jeanpierre Guédon 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 Jeanpierre Guédon. Jeanpierre Guédon 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 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 0 | |
| 20 | 3 |
About Jeanpierre Guédon
Jeanpierre Guédon is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 50 papers that have together received 226 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (20 papers), Digital Image Processing Techniques (17 papers) and Medical Image Segmentation Techniques (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (152 citations), Radiology, Nuclear Medicine and Imaging (83 citations) and Radiation (24 citations). Jeanpierre Guédon has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Nicolas Normand, Amir Hashemi, Florent Autrusseau, Y. Bizais, Dominique Barba, Myriam Servières, Stéphane Beaumont, Imants Svalbe, Benoît Parrein and Andrew Kingston. Their work appears in journals such as IEEE Signal Processing Letters, Lecture notes in computer science and Computerized Medical Imaging and Graphics.
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.