Romuere Silva

36 papers and 666 indexed citations i.

About

Romuere Silva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Romuere Silva has authored 36 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Romuere Silva’s work include AI in cancer detection (23 papers), Digital Imaging for Blood Diseases (16 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Romuere Silva is often cited by papers focused on AI in cancer detection (23 papers), Digital Imaging for Blood Diseases (16 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Romuere Silva collaborates with scholars based in Brazil, United States and Portugal. Romuere Silva's co-authors include Flávio H. D. Araújo, Rodrigo Veras, Kelson Aires, Luis H. S. Vogado, Daniela Ushizima, Cláudia Martins Carneiro, Andrea G. C. Bianchi, Ricardo A. L. Rabêlo, Fátima N. S. de Medeiros and Mariana T. Rezende and has published in prestigious journals such as Expert Systems with Applications, Sensors and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Romuere Silva i

Fields of papers citing papers by Romuere Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Romuere Silva

Since Specialization
Citations

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