Irène Vignon-Clémentel
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- Cardiovascular Function and Risk Factors 28
- Computational Mechanics top 1%
- Advanced Numerical Methods in Computational Mathematics 9
- Surgery top 2%
- Coronary Interventions and Diagnostics 9
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- Aortic Disease and Treatment Approaches 8
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- Congenital Heart Disease Studies 18
- Liver Disease Diagnosis and Treatment 10
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- Elasticity and Material Modeling 13
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- Liver Disease and Transplantation 8
- Co-authors
- Charles A. TaylorC. Alberto FigueroaKenneth E. JansenAlison L. MarsdenHyun Jin KimJeffrey A. FeinsteinMahdi EsmailyThomas J.R. Hughes
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Irène Vignon-Clémentel
81 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cardiology and Cardiovascular Medicine 2.0k
- Computational Mechanics 754
- Surgery 1.6k
- Pulmonary and Respiratory Medicine 1.1k
- Radiology, Nuclear Medicine and Imaging 676
Countries citing papers authored by Irène Vignon-Clémentel
This map shows the geographic impact of Irène Vignon-Clémentel'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 Irène Vignon-Clémentel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irène Vignon-Clémentel more than expected).
Fields of papers citing papers by Irène Vignon-Clémentel
This network shows the impact of papers produced by Irène Vignon-Clémentel. 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 Irène Vignon-Clémentel. The network helps show where Irène Vignon-Clémentel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Irène Vignon-Clémentel, 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 | 3 | |
| 2 | Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation | 2024 | 1 |
| 3 | 2022 | 6 | |
| 4 | 2022 | 0 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 5 | |
| 7 | 2020 | 50 | |
| 8 | 2020 | 32 | |
| 9 | 2019 | 9 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 23 | |
| 14 | 2016 | 5 | |
| 15 | 2016 | 22 | |
| 16 | 2015 | 34 | |
| 17 | 2013 | 57 | |
| 18 | 2011 | 65 | |
| 19 | 2006 | 39 | |
| 20 | 2005 | 3 |
About Irène Vignon-Clémentel
Irène Vignon-Clémentel is a scholar working on Cardiology and Cardiovascular Medicine, Hepatology and Modeling and Simulation, having authored 84 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (28 papers), Congenital Heart Disease Studies (18 papers), Elasticity and Material Modeling (13 papers), Liver Disease Diagnosis and Treatment (10 papers), Coronary Interventions and Diagnostics (9 papers), Advanced Numerical Methods in Computational Mathematics (9 papers), Liver Disease and Transplantation (8 papers) and Aortic Disease and Treatment Approaches (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Computational Mechanics (754 citations) and Surgery (1.6k citations). Irène Vignon-Clémentel has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Charles A. Taylor, C. Alberto Figueroa, Kenneth E. Jansen, Alison L. Marsden, Hyun Jin Kim, Jeffrey A. Feinstein, Mahdi Esmaily, Thomas J.R. Hughes, Jessica S. Coogan and Tain‐Yen Hsia. Their work appears in journals such as Blood, Development and The Journal of Physiology.
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.