Joan Massich

12 papers and 297 indexed citations i.

About

Joan Massich is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joan Massich has authored 12 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joan Massich’s work include AI in cancer detection (6 papers), Retinal Diseases and Treatments (4 papers) and Retinal Imaging and Analysis (4 papers). Joan Massich is often cited by papers focused on AI in cancer detection (6 papers), Retinal Diseases and Treatments (4 papers) and Retinal Imaging and Analysis (4 papers). Joan Massich collaborates with scholars based in France, Spain and Malaysia. Joan Massich's co-authors include G Lemaître, Fabrice Mériaudeau, Mojdeh Rastgoo, Désiré Sidibé, Carol Y. Cheung, Ecosse L. Lamoureux, Dan Miléa, Tien Yin Wong, Khaled Alsaih and Olivier Morel and has published in prestigious journals such as Computer Methods and Programs in Biomedicine, BioMedical Engineering OnLine and Journal of Electronic Imaging.

In The Last Decade

Co-authorship network of co-authors of Joan Massich i

Fields of papers citing papers by Joan Massich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joan Massich

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025