Roberto Ardon

55 papers receiving 1.1k citations

Peers

Roberto Ardon
Comparison fields: 5 of 58
  • Health Informatics 76
  • Computer Vision and Pattern Recognition 515
  • Hepatology 151
  • Pulmonary and Respiratory Medicine 208
  • Radiology, Nuclear Medicine and Imaging 134
Replace Marco Armbruster with:
Marco Armbruster Germany
Derek W. Cool Canada
Mehmet Akif Gulsun United States
Stephan Zidowitz Germany
Claude Kauffmann Canada
Naciye Sinem Gezer Türkiye
Adrian Thomas Huber Switzerland
Vincent Agnus France
Mary K. O'Boyle United States
Hanns‐Christian Breit Switzerland
Roberto Ardon relative to Marco Armbruster Germany Marco Armbruster's profile →
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Citations per year

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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012137
2 201288
3 200759
4 202159
5 202153
6 201352
7 201645
8 201238
9 201538
10 201335
11 200732
12 200631
13 200930
14 201329
15 201329
16 201224
17 201522
18 202421
19 201319
20 201316

About Roberto Ardon

Roberto Ardon is a scholar working on Computer Vision and Pattern Recognition, Health Informatics, Pulmonary and Respiratory Medicine, Artificial Intelligence and Hepatology, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (36 papers), Aortic aneurysm repair treatments (8 papers), Artificial Intelligence in Healthcare and Education (5 papers), Explainable Artificial Intelligence (XAI) (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Machine Learning and Data Classification (2 papers), Medical Imaging and Analysis (2 papers) and Aortic Disease and Treatment Approaches (2 papers). The work is most often cited by research in Health Informatics (76 citations), Computer Vision and Pattern Recognition (515 citations), Hepatology (151 citations), Pulmonary and Respiratory Medicine (208 citations) and Radiology, Nuclear Medicine and Imaging (134 citations). Roberto Ardon has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Benoît Mory, Laurent David Cohen, Raphaël Prevost, Rémi Cuingnet, MingDe Lin, David Lesage, Jean-François H. Geschwind, Nikhil Bhagat, Laurence Rouet and Jean‐Philippe Thiran. Their work appears in journals such as European Journal of Vascular and Endovascular Surgery, Journal of Vascular Surgery, Academic Radiology, 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.

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