Xavier Lladó

113 papers and 3.8k indexed citations i.

About

Xavier Lladó is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xavier Lladó has authored 113 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xavier Lladó’s work include Medical Image Segmentation Techniques (44 papers), AI in cancer detection (22 papers) and Multiple Sclerosis Research Studies (17 papers). Xavier Lladó is often cited by papers focused on Medical Image Segmentation Techniques (44 papers), AI in cancer detection (22 papers) and Multiple Sclerosis Research Studies (17 papers). Xavier Lladó collaborates with scholars based in Spain, United Kingdom and France. Xavier Lladó's co-authors include Arnau Oliver, Jordi Freixenet, Sergi Valverde, Mariano Cabezas, Joaquím Salví, Robert Martí, Joan C. Vilanova, Sergio Fernández Romero, Tomislav Pribanić and Àlex Rovira and has published in prestigious journals such as NeuroImage, Monthly Notices of the Royal Astronomical Society and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Xavier Lladó i

Fields of papers citing papers by Xavier Lladó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xavier Lladó

Since Specialization
Citations

This map shows the geographic impact of Xavier Lladó'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 Xavier Lladó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Lladó 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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2025