Pascal Zillé
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Computational Mathematics top 10%
Papers in
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- Artificial Intelligence in Healthcare and Education 6
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- Functional Brain Connectivity Studies 10
- Co-authors
- Vince D. Calhoun (11 shared papers)Yu‐Ping Wang (11 shared papers)Thomas Corpetti (3 shared papers)Liang Shao (3 shared papers)Tony W. Wilson (4 shared papers)Julia M. Stephen (4 shared papers)Gaspard d’Assignies (6 shared papers)Raphaël Guillin (3 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (6 papers)European Radiology (2 papers)Experiments in Fluids (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Physica Medica (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Pascal Zillé
21 papers receiving 376 citations
Peers
Comparison fields: 5 of 51
- Health Informatics 76
- Computational Mathematics 8
- Cognitive Neuroscience 144
- Computational Mechanics 59
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Pascal Zillé
This map shows the geographic impact of Pascal Zillé'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 Pascal Zillé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Zillé more than expected).
Fields of papers citing papers by Pascal Zillé
This network shows the impact of papers produced by Pascal Zillé. 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 Pascal Zillé. The network helps show where Pascal Zillé may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Zillé, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 59 | |
| 2 | 2022 | 51 | |
| 3 | 2015 | 48 | |
| 4 | 2017 | 39 | |
| 5 | 2017 | 28 | |
| 6 | 2017 | 25 | |
| 7 | 2018 | 25 | |
| 8 | 2017 | 22 | |
| 9 | 2014 | 20 | |
| 10 | 2019 | 17 | |
| 11 | 2019 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2016 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 1 |
About Pascal Zillé
Pascal Zillé is a scholar working on Health Informatics, Cognitive Neuroscience, Statistics and Probability, Genetics and Surgery, having authored 21 papers that have together received 380 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Artificial Intelligence in Healthcare and Education (6 papers), Genetic Associations and Epidemiology (5 papers), Knee injuries and reconstruction techniques (4 papers), Statistical Methods and Inference (3 papers), Epigenetics and DNA Methylation (2 papers), Fluid Dynamics and Turbulent Flows (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Health Informatics (76 citations), Computational Mathematics (8 citations), Cognitive Neuroscience (144 citations), Computational Mechanics (59 citations) and Computer Vision and Pattern Recognition (41 citations). Pascal Zillé has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Vince D. Calhoun, Yu‐Ping Wang, Thomas Corpetti, Liang Shao, Tony W. Wilson, Julia M. Stephen, Gaspard d’Assignies, Raphaël Guillin, Hugues G. Brat and Biao Cai. Their work appears in journals such as IEEE Transactions on Medical Imaging, European Radiology, Experiments in Fluids, IEEE Transactions on Biomedical Engineering and Physica Medica.
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.