Sara Fernández-Vidal
- Neurology top 5%
- Neurological disorders and treatments 16
- Parkinson's Disease Mechanisms and Treatments 10
- Transcranial Magnetic Stimulation Studies 4
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- Genetic Neurodegenerative Diseases 6
- Neurology top 10%
- Neurological disorders and treatments 16
- Parkinson's Disease Mechanisms and Treatments 10
- Transcranial Magnetic Stimulation Studies 4
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 4
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- Obsessive-Compulsive Spectrum Disorders 5
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- Advanced Neuroimaging Techniques and Applications 5
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- Medical Image Segmentation Techniques 4
- Co-authors
- Grégoire MalandainÉric BardinetCarine KarachiMarie VidailhetRomain ValabrègueStéphane LehéricyMarie‐Laure WelterEmmanuel Roze
- Partner nations
- FranceSwitzerlandCanada
In The Last Decade
Sara Fernández-Vidal
31 papers receiving 672 citations
Peers
Comparison fields: 5 of 82
- Neurology 406
- Cellular and Molecular Neuroscience 202
- Neurology 79
- Computer Graphics and Computer-Aided Design 30
- Cognitive Neuroscience 168
Countries citing papers authored by Sara Fernández-Vidal
This map shows the geographic impact of Sara Fernández-Vidal'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 Sara Fernández-Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Fernández-Vidal more than expected).
Fields of papers citing papers by Sara Fernández-Vidal
This network shows the impact of papers produced by Sara Fernández-Vidal. 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 Sara Fernández-Vidal. The network helps show where Sara Fernández-Vidal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sara Fernández-Vidal, 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 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 12 | |
| 9 | 2018 | 3 | |
| 10 | 2018 | 23 | |
| 11 | 2016 | 3 | |
| 12 | 2016 | 39 | |
| 13 | 2015 | 83 | |
| 14 | 2015 | 19 | |
| 15 | 2013 | 41 | |
| 16 | 2011 | 69 | |
| 17 | Structural Object Matching | 2000 | 12 |
| 18 | Digital Euclidean skeleton in n-D | 1995 | 1 |
| 19 | Physically Based Rigid Registration of 3-D Free-Form Objects : application to Medical Imaging | 1994 | 9 |
| 20 | Mise en correspondance d'objets 3D par une approche mécanique : application aux images médicales multimodales | 1994 | 0 |
About Sara Fernández-Vidal
Sara Fernández-Vidal is a scholar working on Neurology, Computer Graphics and Computer-Aided Design and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 682 indexed citations. Recurring topics across this work include Neurological disorders and treatments (16 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Genetic Neurodegenerative Diseases (6 papers), Obsessive-Compulsive Spectrum Disorders (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Neural dynamics and brain function (4 papers), Medical Image Segmentation Techniques (4 papers) and Transcranial Magnetic Stimulation Studies (4 papers). The work is most often cited by research in Neurology (406 citations), Cellular and Molecular Neuroscience (202 citations) and Neurology (79 citations). Sara Fernández-Vidal has collaborated with scholars based in France, Switzerland and Canada. Frequent co-authors include Grégoire Malandain, Éric Bardinet, Carine Karachi, Marie Vidailhet, Romain Valabrègue, Stéphane Lehéricy, Marie‐Laure Welter, Emmanuel Roze, Cécile Galléa and Bertrand Degos. Their work appears in journals such as Nature Communications, NeuroImage and Brain.
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.