Thierson Couto Rosa

About

Thierson Couto Rosa is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thierson Couto Rosa has authored 19 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thierson Couto Rosa’s work include Text and Document Classification Technologies (7 papers), Sentiment Analysis and Opinion Mining (4 papers) and Machine Learning and Data Classification (4 papers). Thierson Couto Rosa is often cited by papers focused on Text and Document Classification Technologies (7 papers), Sentiment Analysis and Opinion Mining (4 papers) and Machine Learning and Data Classification (4 papers). Thierson Couto Rosa collaborates with scholars based in Brazil, Chile and Slovakia. Thierson Couto Rosa's co-authors include Celso G. Camilo-Junior, Marcos André Gonçalves, Sérgio Canuto, Leonardo Rocha, Felipe Viegas, Wellington S. Martins, Nádia Félix Felipe da Silva, Vítor Mangaravite, Christian Gomes and Humberto J. Longo and has published in prestigious journals such as Expert Systems with Applications, BMC Bioinformatics and Frontiers in Plant Science.

In The Last Decade

Co-authorship network of co-authors of Thierson Couto Rosa i

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Fields of papers citing papers by Thierson Couto Rosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thierson Couto Rosa. 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 Thierson Couto Rosa. The network helps show where Thierson Couto Rosa may publish in the future.

Countries citing papers authored by Thierson Couto Rosa

Since Specialization

Citations

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