Ramón Correa

24 papers and 436 indexed citations i.

About

Ramón Correa is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Artificial Intelligence. According to data from OpenAlex, Ramón Correa has authored 24 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Genetics and 4 papers in Artificial Intelligence. Recurrent topics in Ramón Correa’s work include Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (10 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Ramón Correa is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (10 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Ramón Correa collaborates with scholars based in United States, Chile and Brazil. Ramón Correa's co-authors include Pallavi Tiwari, Virginia Hill, Niha Beig, Anant Madabhushi, Kaustav Bera, Manmeet S. Ahluwalia, Prateek Prasanna, Volodymyr Statsevych, Salendra Singh and Vinay Varadan and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Ramón Correa i

Fields of papers citing papers by Ramón Correa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ramón Correa

Since Specialization
Citations

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