Javier Alvarez-Valle

11 papers and 178 indexed citations i.

About

Javier Alvarez-Valle is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Javier Alvarez-Valle has authored 11 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Javier Alvarez-Valle’s work include Radiomics and Machine Learning in Medical Imaging (5 papers), Artificial Intelligence in Healthcare and Education (3 papers) and AI in cancer detection (3 papers). Javier Alvarez-Valle is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Artificial Intelligence in Healthcare and Education (3 papers) and AI in cancer detection (3 papers). Javier Alvarez-Valle collaborates with scholars based in United Kingdom, United States and India. Javier Alvarez-Valle's co-authors include Ozan Oktay, R. Jena, K. Harrison, H. Pullen, Aditya Nori, Anton Schwaighofer, Daniel C. Castro, Ben Glocker, Matthew P. Lungren and Kerem Can Tezcan and has published in prestigious journals such as Nature Communications, JAMA Network Open and Nature Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Javier Alvarez-Valle i

Fields of papers citing papers by Javier Alvarez-Valle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Alvarez-Valle. 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 Javier Alvarez-Valle. The network helps show where Javier Alvarez-Valle may publish in the future.

Countries citing papers authored by Javier Alvarez-Valle

Since Specialization
Citations

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