Adrià Recasens

12 papers and 489 indexed citations i.

About

Adrià Recasens is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Adrià Recasens has authored 12 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Adrià Recasens’s work include Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Adrià Recasens is often cited by papers focused on Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Adrià Recasens collaborates with scholars based in United States, United Kingdom and France. Adrià Recasens's co-authors include Antonio Torralba, Petr Kellnhofer, Wojciech Matusik, Simon Stent, Àgata Lapedriza, Ronak Kosti, Jose M. Álvarez, Carl Vondrick, Aditya Khosla and James Glass and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Adrià Recasens i

Fields of papers citing papers by Adrià Recasens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrià Recasens. 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 Adrià Recasens. The network helps show where Adrià Recasens may publish in the future.

Countries citing papers authored by Adrià Recasens

Since Specialization
Citations

This map shows the geographic impact of Adrià Recasens'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 Adrià Recasens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrià Recasens more than expected).

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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