Àgata Lapedriza

32 papers and 8.5k indexed citations i.

About

Àgata Lapedriza is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Àgata Lapedriza has authored 32 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Àgata Lapedriza’s work include Face and Expression Recognition (9 papers), Face recognition and analysis (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Àgata Lapedriza is often cited by papers focused on Face and Expression Recognition (9 papers), Face recognition and analysis (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Àgata Lapedriza collaborates with scholars based in Spain, United States and Saudi Arabia. Àgata Lapedriza's co-authors include Antonio Torralba, Bolei Zhou, Aude Oliva, Aditya Khosla, Laura Igual, Jun-Yan Zhu, David Bau, Hendrik Strobelt, Adrià Recasens and Ronak Kosti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Àgata Lapedriza i

Fields of papers citing papers by Àgata Lapedriza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Àgata Lapedriza

Since Specialization
Citations

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