Fernando Collado‐Mesa

37 papers and 677 indexed citations i.

About

Fernando Collado‐Mesa is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Oncology. According to data from OpenAlex, Fernando Collado‐Mesa has authored 37 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 7 papers in Oncology. Recurrent topics in Fernando Collado‐Mesa’s work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (7 papers) and Breast Cancer Treatment Studies (6 papers). Fernando Collado‐Mesa is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (7 papers) and Breast Cancer Treatment Studies (6 papers). Fernando Collado‐Mesa collaborates with scholars based in United States, Saudi Arabia and Cuba. Fernando Collado‐Mesa's co-authors include Fangchao Ma, Shasa Hu, Mohamed Abdel-Mottaleb, Manal Alghamdi, Robert S. Kirsner, Kris Arheart, Jose Net, Monica M. Yepes, Robert S. Kirsner and Kristopher L. Arheart and has published in prestigious journals such as Diabetes Care, European Heart Journal and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Fernando Collado‐Mesa i

Fields of papers citing papers by Fernando Collado‐Mesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Collado‐Mesa. 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 Fernando Collado‐Mesa. The network helps show where Fernando Collado‐Mesa may publish in the future.

Countries citing papers authored by Fernando Collado‐Mesa

Since Specialization
Citations

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