Victor Guimarães

About

Victor Guimarães is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Victor Guimarães has authored 3 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Information Systems. Recurrent topics in Victor Guimarães’s work include Topic Modeling (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Data Mining Algorithms and Applications (1 paper). Victor Guimarães is often cited by papers focused on Topic Modeling (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Data Mining Algorithms and Applications (1 paper). Victor Guimarães collaborates with scholars based in Brazil and Portugal. Victor Guimarães's co-authors include Cícero dos Santos, Aline Paes, Gerson Zaverucha, Vı́tor Santos Costa and Irina S. Moreira and has published in prestigious journals such as BMC Bioinformatics, Machine Learning and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Victor Guimarães i

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Fields of papers citing papers by Victor Guimarães

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Victor Guimarães

Since Specialization

Citations

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