Eric Arazo

About

Eric Arazo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eric Arazo has authored 11 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eric Arazo’s work include Machine Learning and Data Classification (6 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Eric Arazo is often cited by papers focused on Machine Learning and Data Classification (6 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Eric Arazo collaborates with scholars based in Ireland and Spain. Eric Arazo's co-authors include Paul Albert, Noel E. O’Connor, Kevin McGuinness, Diego Ortego, Kathleen M. Curran, Noel E. O’Connor and Suzanne Little and has published in prestigious journals such as Expert Systems, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Eric Arazo i

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Fields of papers citing papers by Eric Arazo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eric Arazo

Since Specialization

Citations

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