Ricardo J. Ferrari

32 papers and 594 indexed citations i.

About

Ricardo J. Ferrari is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Ricardo J. Ferrari has authored 32 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Ricardo J. Ferrari’s work include Medical Image Segmentation Techniques (10 papers), Image Retrieval and Classification Techniques (7 papers) and AI in cancer detection (6 papers). Ricardo J. Ferrari is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Image Retrieval and Classification Techniques (7 papers) and AI in cancer detection (6 papers). Ricardo J. Ferrari collaborates with scholars based in Brazil, Canada and Australia. Ricardo J. Ferrari's co-authors include A.F. Frere, Rangaraj M. Rangayyan, J. E. Leo Desautels, Huijuan Zhang, C. Ronald Kube, Ivan Yeung, H. Keller, Roger Tam, Cynthia Ménard and Normand Laperrière and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Ricardo J. Ferrari i

Fields of papers citing papers by Ricardo J. Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ricardo J. Ferrari

Since Specialization
Citations

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