Roberto Ardon
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 4
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- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 5
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- Aortic aneurysm repair treatments 8
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- Medical Image Segmentation Techniques 12
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- Cardiac, Anesthesia and Surgical Outcomes 7
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- Advanced X-ray and CT Imaging 5
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- Colorectal Cancer Screening and Detection 4
- Co-authors
- Benoît MoryLaurent D. CohenMingDe LinRaphaël PrevostRémi CuingnetJean-François H. GeschwindNikhil BhagatLaurence Rouet
- Journals
- European Journal of Vascular and Endovascular Surgery (4 papers)Academic Radiology (2 papers)Journal of Vascular and Interventional Radiology (2 papers)
- Partner nations
- FranceUnited StatesFinland
In The Last Decade
Roberto Ardon
33 papers receiving 671 citations
Peers
Comparison fields: 5 of 71
- Hepatology 151
- Radiology, Nuclear Medicine and Imaging 236
- Health Informatics 11
- Pulmonary and Respiratory Medicine 266
- Computer Vision and Pattern Recognition 155
Countries citing papers authored by Roberto Ardon
This map shows the geographic impact of Roberto Ardon'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 Roberto Ardon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Ardon more than expected).
Fields of papers citing papers by Roberto Ardon
This network shows the impact of papers produced by Roberto Ardon. 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 Roberto Ardon. The network helps show where Roberto Ardon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roberto Ardon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 12 | |
| 3 | 2022 | 10 | |
| 4 | 2021 | 49 | |
| 5 | 2021 | 37 | |
| 6 | 2016 | 43 | |
| 7 | 2016 | 9 | |
| 8 | 2014 | 5 | |
| 9 | 2013 | 29 | |
| 10 | 2013 | 26 | |
| 11 | 2013 | 49 | |
| 12 | 2013 | 1 | |
| 13 | 2013 | 13 | |
| 14 | 2013 | 26 | |
| 15 | 2013 | 3 | |
| 16 | 2012 | 38 | |
| 17 | 2012 | 105 | |
| 18 | 2012 | 84 | |
| 19 | 2012 | 16 | |
| 20 | Template Deformation with User Constraints for Live 3D Interactive Surface Extraction | 2011 | 2 |
About Roberto Ardon
Roberto Ardon is a scholar working on Health Informatics, Computer Vision and Pattern Recognition, Hepatology, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 35 papers that have together received 679 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Aortic aneurysm repair treatments (8 papers), Cardiac, Anesthesia and Surgical Outcomes (7 papers), MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced X-ray and CT Imaging (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Colorectal Cancer Screening and Detection (4 papers). The work is most often cited by research in Hepatology (151 citations), Radiology, Nuclear Medicine and Imaging (236 citations), Health Informatics (11 citations), Pulmonary and Respiratory Medicine (266 citations) and Computer Vision and Pattern Recognition (155 citations). Roberto Ardon has collaborated with scholars based in France, United States and Finland. Frequent co-authors include Benoît Mory, Laurent D. Cohen, MingDe Lin, Raphaël Prevost, Rémi Cuingnet, Jean-François H. Geschwind, Nikhil Bhagat, Laurence Rouet, David Lesage and Olivier Pellerin. Their work appears in journals such as European Journal of Vascular and Endovascular Surgery, Academic Radiology, Journal of Vascular and Interventional Radiology, Insights into Imaging and Journal of Mathematical Imaging and Vision.
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.