É. Brassart
Impact in
- Urology top 5%
- Urinary Bladder and Prostate Research
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- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
- Optical measurement and interference techniques
Papers in
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- Advanced Vision and Imaging 5
- Optical measurement and interference techniques 3
- Medical Image Segmentation Techniques 3
- Robotic Path Planning Algorithms 2
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- Robotics and Sensor-Based Localization 9
- Co-authors
- Pierre Bigot (11 shared papers)Mounir Sayadi (3 shared papers)Farhat Fnaiech (3 shared papers)T. Culty (8 shared papers)Laurent Delahoche (7 shared papers)Denis Chautard (4 shared papers)Abdel Rahmène Azzouzi (3 shared papers)Souhil Lebdai (8 shared papers)
In The Last Decade
É. Brassart
23 papers receiving 218 citations
Peers
Comparison fields: 5 of 65
- Urology 64
- Computer Vision and Pattern Recognition 71
- Media Technology 25
- Rheumatology 18
- Pulmonary and Respiratory Medicine 38
Countries citing papers authored by É. Brassart
This map shows the geographic impact of É. Brassart'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 É. Brassart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites É. Brassart more than expected).
Fields of papers citing papers by É. Brassart
This network shows the impact of papers produced by É. Brassart. 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 É. Brassart. The network helps show where É. Brassart may publish in the future.
Co-authors
The 25 scholars most cited alongside É. Brassart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 41 | |
| 2 | 2008 | 25 | |
| 3 | 2018 | 18 | |
| 4 | 2012 | 15 | |
| 5 | 2003 | 15 | |
| 6 | 2008 | 15 | |
| 7 | 2017 | 12 | |
| 8 | 2009 | 12 | |
| 9 | 2002 | 12 | |
| 10 | 2012 | 10 | |
| 11 | 2002 | 8 | |
| 12 | Double-J ureteral stent under local anesthesia for women. | 2014 | 7 |
| 13 | 2022 | 7 | |
| 14 | 2003 | 6 | |
| 15 | 2019 | 5 | |
| 16 | 2002 | 5 | |
| 17 | 2002 | 5 | |
| 18 | 2003 | 5 | |
| 19 | 2019 | 3 | |
| 20 | 2010 | 2 |
About É. Brassart
É. Brassart is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Pulmonary and Respiratory Medicine, Urology and Surgery, having authored 29 papers that have together received 233 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Urinary Bladder and Prostate Research (5 papers), Advanced Vision and Imaging (5 papers), Renal cell carcinoma treatment (4 papers), Optical measurement and interference techniques (3 papers), Medical Image Segmentation Techniques (3 papers), Kidney Stones and Urolithiasis Treatments (3 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Urology (64 citations), Computer Vision and Pattern Recognition (71 citations), Media Technology (25 citations), Rheumatology (18 citations) and Pulmonary and Respiratory Medicine (38 citations). É. Brassart has collaborated with scholars based in France, Tunisia and Canada. Frequent co-authors include Pierre Bigot, Mounir Sayadi, Farhat Fnaiech, T. Culty, Laurent Delahoche, Denis Chautard, Abdel Rahmène Azzouzi, Souhil Lebdai, Myriam Ammi and C. Pégard. Their work appears in journals such as The Journal of Urology, International Urogynecology Journal, International Journal of Urology, Journal of Endourology and World Journal of Urology.
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.