Renzo Phellan
Impact in
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- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
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- Brain Tumor Detection and Classification
Papers in
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- Medical Image Segmentation Techniques 9
- Image Retrieval and Classification Techniques 2
- Advanced Image and Video Retrieval Techniques 1
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- Advanced MRI Techniques and Applications 5
- Medical Imaging Techniques and Applications 1
- Co-authors
- Nils D. Forkert (9 shared papers)Alexandre X. Falcão (11 shared papers)Luc Duong (2 shared papers)Julien Clin (1 shared paper)Jean‐Marc Mac‐Thiong (1 shared paper)Jayaram K. Udupa (3 shared papers)Thomas W. Okell (2 shared papers)Aiden Doherty (1 shared paper)
In The Last Decade
Renzo Phellan
15 papers receiving 287 citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 68
- Neurology 24
- Health Informatics 4
- Computer Vision and Pattern Recognition 57
- Cardiology and Cardiovascular Medicine 47
Countries citing papers authored by Renzo Phellan
This map shows the geographic impact of Renzo Phellan'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 Renzo Phellan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renzo Phellan more than expected).
Fields of papers citing papers by Renzo Phellan
This network shows the impact of papers produced by Renzo Phellan. 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 Renzo Phellan. The network helps show where Renzo Phellan may publish in the future.
Co-authors
The 25 scholars most cited alongside Renzo Phellan, 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 | 2018 | 107 | |
| 2 | 2020 | 72 | |
| 3 | 2017 | 35 | |
| 4 | 2017 | 19 | |
| 5 | 2015 | 16 | |
| 6 | 2019 | 16 | |
| 7 | 2017 | 9 | |
| 8 | 2015 | 3 | |
| 9 | 2014 | 3 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2017 | 2 | |
| 13 | 2018 | 2 | |
| 14 | 2015 | 1 | |
| 15 | 2018 | 1 |
About Renzo Phellan
Renzo Phellan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence and Neurology, having authored 15 papers that have together received 290 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Advanced MRI Techniques and Applications (5 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Image Retrieval and Classification Techniques (2 papers), AI in cancer detection (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Brain Tumor Detection and Classification (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (68 citations), Neurology (24 citations), Health Informatics (4 citations), Computer Vision and Pattern Recognition (57 citations) and Cardiology and Cardiovascular Medicine (47 citations). Renzo Phellan has collaborated with scholars based in Canada, Brazil and Germany. Frequent co-authors include Nils D. Forkert, Alexandre X. Falcão, Luc Duong, Julien Clin, Jean‐Marc Mac‐Thiong, Jayaram K. Udupa, Thomas W. Okell, Aiden Doherty, Mark Jenkinson and Odaro J. Huckstep. Their work appears in journals such as Medical Physics, IEEE Transactions on Biomedical Engineering, JAMA, Medical Image Analysis and Lecture notes in computer science.
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.