Arantxa Casanova

9.3k total citations
2 papers, 30 citations indexed

About

Arantxa Casanova is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Arantxa Casanova has authored 2 papers receiving a total of 30 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Cognitive Neuroscience and 1 paper in Artificial Intelligence. Recurrent topics in Arantxa Casanova's work include Functional Brain Connectivity Studies (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Multimodal Machine Learning Applications (1 paper). Arantxa Casanova is often cited by papers focused on Functional Brain Connectivity Studies (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Multimodal Machine Learning Applications (1 paper). Arantxa Casanova collaborates with scholars based in Italy, Canada and Israel. Arantxa Casanova's co-authors include Christopher Pal, Pedro O. Pinheiro, Negar Rostamzadeh, Michal Drozdzal, Guillem Cucurull, Adriana Romero, Alan C. Evans, Konrad Wagstyl, Yoshua Bengio and Petar Veličković and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Arantxa Casanova

2 papers receiving 30 citations

Peers

Countries citing papers authored by Arantxa Casanova

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Arantxa Casanova

This figure shows the co-authorship network connecting the top 25 collaborators of Arantxa Casanova. A scholar is included among the top collaborators of Arantxa Casanova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arantxa Casanova. Arantxa Casanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

#	Work	Indexed citations
1	Reinforced active learning for image segmentation 2020 ·arXiv (Cornell University) ·Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher Pal	13
2	Convolutional neural networks for mesh-based parcellation of the cerebral cortex 2018 ·Guillem Cucurull, Konrad Wagstyl, Arantxa Casanova, Petar Veličković, Estrid Jakobsen, Michal Drozdzal, Adriana Romero, Alan C. Evans, Yoshua Bengio	17

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.

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