Ninon Burgos
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 5%
- Neurology top 2%
- Psychiatry and Mental health top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Olivier ColliotSimona BottaniElina Thibeau–SutreStanley DurrlemanDidier DormontJorge Samper‐GonzàlezJunhao WenAlexandre Routier
- Topics
- Medical Imaging Techniques and Applications (25 papers)Advanced MRI Techniques and Applications (23 papers)Radiomics and Machine Learning in Medical Imaging (17 papers)
- Partner nations
- FranceUnited KingdomAustralia
In The Last Decade
Ninon Burgos
55 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Radiology, Nuclear Medicine and Imaging 794
- Artificial Intelligence 396
- Neurology 358
- Psychiatry and Mental health 328
- Computer Vision and Pattern Recognition 291
Countries citing papers authored by Ninon Burgos
This map shows the geographic impact of Ninon Burgos'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 Ninon Burgos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ninon Burgos more than expected).
Fields of papers citing papers by Ninon Burgos
This network shows the impact of papers produced by Ninon Burgos. 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 Ninon Burgos. The network helps show where Ninon Burgos may publish in the future.
Co-authorship network of co-authors of Ninon Burgos
This figure shows the co-authorship network connecting the top 25 collaborators of Ninon Burgos. A scholar is included among the top collaborators of Ninon Burgos 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 Ninon Burgos. Ninon Burgos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 53 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 58 | |
| 13 | 27 | |
| 14 | 13 | |
| 15 | 113 | |
| 16 | 28 | |
| 17 | 24 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 33 |
About Ninon Burgos
Ninon Burgos is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Neurology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (25 papers), Advanced MRI Techniques and Applications (23 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). The work is most often cited by research in Neurology (358 citations), Radiology, Nuclear Medicine and Imaging (794 citations) and Health Informatics (45 citations). Ninon Burgos has collaborated with scholars based in France, United Kingdom and Australia. Frequent co-authors include Olivier Colliot, Simona Bottani, Elina Thibeau–Sutre, Stanley Durrleman, Didier Dormont, Jorge Samper‐Gonzàlez, Junhao Wen, Alexandre Routier, Sébastien Ourselin and M. Jorge Cardoso. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Scientific Reports.
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.