Claudia Mazo

14 papers and 489 indexed citations i.

About

Claudia Mazo is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Claudia Mazo has authored 14 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Claudia Mazo’s work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Claudia Mazo is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Claudia Mazo collaborates with scholars based in Ireland, Colombia and Spain. Claudia Mazo's co-authors include Catherine Mooney, Yuhan Du, Lan Wei, Anna Markella Antoniadi, Brett A. Becker, María Trujillo, Enrique Alegre, William M. Gallagher, José Bernal and Arman Rahman and has published in prestigious journals such as Scientific Reports, Annals of Oncology and Journal of Clinical Pathology.

In The Last Decade

Co-authorship network of co-authors of Claudia Mazo i

Fields of papers citing papers by Claudia Mazo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Claudia Mazo

Since Specialization
Citations

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