Roberto Ardon

35 papers receiving 693 citations

Peers

Roberto Ardon
Comparison fields: 5 of 65
  • Hepatology 137
  • Pulmonary and Respiratory Medicine 212
  • Radiology, Nuclear Medicine and Imaging 144
  • Computer Vision and Pattern Recognition 144
  • Health Informatics 8
Replace Mehmet Gulsun with:
Mehmet Gulsun United States
Giuseppe Salvaggio Italy
Katia Passera Italy
Michael Suehling Germany
Marilyn J. Morton United States
Sivan Lieberman Israel
Ivan Bricault France
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Xiangfei Chai China
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Countries citing papers authored by Roberto Ardon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Roberto Ardon Line = papers co-authored together Roberto Ardon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012105
2 201284
3 202155
4 201349
5 201644
6 202142
7 201238
8 201535
9 201329
10 201328
11 201326
12 200624
13 201519
14 201216
15 202413
16 201313
17 200811
18 202210
19 201610
20 20107

About Roberto Ardon

Roberto Ardon is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology and Hepatology, having authored 36 papers that have together received 701 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Aortic aneurysm repair treatments (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), MRI in cancer diagnosis (4 papers), Advanced X-ray and CT Imaging (4 papers), Colorectal Cancer Screening and Detection (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). The work is most often cited by research in Hepatology (137 citations), Pulmonary and Respiratory Medicine (212 citations), Radiology, Nuclear Medicine and Imaging (144 citations), Computer Vision and Pattern Recognition (144 citations) and Health Informatics (8 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, Rémi Cuingnet, Raphaël Prevost, Nikhil Bhagat, Jean-François H. Geschwind, Laurence Rouet, David Lesage and Olivier Pellerin. Their work appears in journals such as European Journal of Vascular and Endovascular Surgery, Journal of Vascular and Interventional Radiology, Academic Radiology, Applied Mathematics & Optimization and International Journal of Computer 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.

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