Sérgio Canuto

15 papers and 203 indexed citations i.

About

Sérgio Canuto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sérgio Canuto has authored 15 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Sérgio Canuto’s work include Text and Document Classification Technologies (8 papers), Topic Modeling (6 papers) and Machine Learning and Data Classification (5 papers). Sérgio Canuto is often cited by papers focused on Text and Document Classification Technologies (8 papers), Topic Modeling (6 papers) and Machine Learning and Data Classification (5 papers). Sérgio Canuto collaborates with scholars based in Brazil, Portugal and Slovakia. Sérgio Canuto's co-authors include Marcos André Gonçalves, Thierson Couto Rosa, Leonardo Rocha, Felipe Viegas, Mirella M. Moro, Christian Gomes, Wellington S. Martins, Jussara M. Almeida, Vítor Mangaravite and Thiago Salles and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Sérgio Canuto i

Fields of papers citing papers by Sérgio Canuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sérgio Canuto

Since Specialization
Citations

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