Arantxa Casanova
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Multimodal Machine Learning Applications 1
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- Functional Brain Connectivity Studies 1
- Co-authors
- Pedro O. Pinheiro (1 shared paper)Negar Rostamzadeh (1 shared paper)Christopher Pal (1 shared paper)Yoshua Bengio (1 shared paper)Konrad Wagstyl (1 shared paper)Guillem Cucurull (1 shared paper)Estrid Jakobsen (1 shared paper)Michal Drozdzal (1 shared paper)
- Journals
- arXiv (Cornell University) (1 paper)
In The Last Decade
Arantxa Casanova
2 papers receiving 30 citations
Peers
Comparison fields: 5 of 17
- Computer Vision and Pattern Recognition 13
- Radiology, Nuclear Medicine and Imaging 12
- Cognitive Neuroscience 9
- Artificial Intelligence 14
- Media Technology 3
Countries citing papers authored by Arantxa Casanova
This map shows the geographic impact of Arantxa Casanova'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 Arantxa Casanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arantxa Casanova more than expected).
Fields of papers citing papers by Arantxa Casanova
This network shows the impact of papers produced by Arantxa Casanova. 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 Arantxa Casanova. The network helps show where Arantxa Casanova may publish in the future.
Co-authors
The 11 scholars most cited alongside Arantxa Casanova, 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 | Convolutional neural networks for mesh-based parcellation of the cerebral cortex | 2018 | 17 |
| 2 | 2020 | 13 |
About Arantxa Casanova
Arantxa Casanova is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 2 papers that have together received 30 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (1 paper), Machine Learning and Algorithms (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Functional Brain Connectivity Studies (1 paper), Brain Tumor Detection and Classification (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (13 citations), Radiology, Nuclear Medicine and Imaging (12 citations), Cognitive Neuroscience (9 citations), Artificial Intelligence (14 citations) and Media Technology (3 citations). Arantxa Casanova has collaborated with scholars based in Italy, Israel and Canada. Frequent co-authors include Pedro O. Pinheiro, Negar Rostamzadeh, Christopher Pal, Yoshua Bengio, Konrad Wagstyl, Guillem Cucurull, Estrid Jakobsen, Michal Drozdzal, Petar Veličković and Adriana Romero. Their work appears in journals such as arXiv (Cornell University).
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.