Fábio J. Ayres

29 papers and 697 indexed citations i.

About

Fábio J. Ayres is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Fábio J. Ayres has authored 29 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Artificial Intelligence. Recurrent topics in Fábio J. Ayres’s work include AI in cancer detection (9 papers), Image Retrieval and Classification Techniques (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Fábio J. Ayres is often cited by papers focused on AI in cancer detection (9 papers), Image Retrieval and Classification Techniques (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Fábio J. Ayres collaborates with scholars based in Canada, Brazil and India. Fábio J. Ayres's co-authors include Rangaraj M. Rangayyan, J. E. Leo Desautels, Steven K. Boyd, Frank R. Jirik, Alla Bondareva, Charlene M. Downey, Benedikt Hallgrímsson, Wei Liu, Xiaolu Zhu and Anna L. Ells and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Journal of the Franklin Institute.

In The Last Decade

Co-authorship network of co-authors of Fábio J. Ayres i

Fields of papers citing papers by Fábio J. Ayres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio J. Ayres. 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 Fábio J. Ayres. The network helps show where Fábio J. Ayres may publish in the future.

Countries citing papers authored by Fábio J. Ayres

Since Specialization
Citations

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