Romero Morais

About

Romero Morais is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Romero Morais has authored 7 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Biomedical Engineering. Recurrent topics in Romero Morais’s work include Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Imbalanced Data Classification Techniques (2 papers). Romero Morais is often cited by papers focused on Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Imbalanced Data Classification Techniques (2 papers). Romero Morais collaborates with scholars based in Australia and Brazil. Romero Morais's co-authors include Svetha Venkatesh, Truyen Tran, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Germano C. Vasconcelos, Paul A. Dawson, Alison Salt, Alicia J. Spittle and Jane Valentine and has published in prestigious journals such as Neurocomputing, IEEE Journal of Biomedical and Health Informatics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Romero Morais i

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Fields of papers citing papers by Romero Morais

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Romero Morais

Since Specialization

Citations

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