Raquel Urtasun

155 papers and 15.3k indexed citations i.

About

Raquel Urtasun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Raquel Urtasun has authored 155 papers receiving a total of 15.3k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Computer Vision and Pattern Recognition, 47 papers in Artificial Intelligence and 31 papers in Aerospace Engineering. Recurrent topics in Raquel Urtasun’s work include Advanced Neural Network Applications (45 papers), Advanced Image and Video Retrieval Techniques (34 papers) and Robotics and Sensor-Based Localization (30 papers). Raquel Urtasun is often cited by papers focused on Advanced Neural Network Applications (45 papers), Advanced Image and Video Retrieval Techniques (34 papers) and Robotics and Sensor-Based Localization (30 papers). Raquel Urtasun collaborates with scholars based in Canada, United States and Germany. Raquel Urtasun's co-authors include Andreas Geiger, Christoph Stiller, Philip Lenz, Sanja Fidler, Pascal Fua, Yukun Zhu, Richard S. Zemel, Dahua Lin, Min Bai and Rui Hu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Raquel Urtasun i

Fields of papers citing papers by Raquel Urtasun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raquel Urtasun

Since Specialization
Citations

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