John Arévalo

22 papers and 828 indexed citations i.

About

John Arévalo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John Arévalo has authored 22 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John Arévalo’s work include AI in cancer detection (9 papers), Cell Image Analysis Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). John Arévalo is often cited by papers focused on AI in cancer detection (9 papers), Cell Image Analysis Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). John Arévalo collaborates with scholars based in Colombia, United States and Mexico. John Arévalo's co-authors include Fabio A. González, Ángel Cruz-Roa, Raúl Ramos-Pollán, José Luís Oliveira, Miguel Guevara, Anant Madabhushi, Thamar Solorio, Manuel Montes-y-Gómez, Eduardo Romero and Oscar Perdómo and has published in prestigious journals such as Nature Communications, Molecular Biology of the Cell and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of John Arévalo i

Fields of papers citing papers by John Arévalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Arévalo

Since Specialization
Citations

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