Anne M. P. Canuto

79 papers and 524 indexed citations i.

About

Anne M. P. Canuto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Anne M. P. Canuto has authored 79 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 23 papers in Information Systems. Recurrent topics in Anne M. P. Canuto’s work include Machine Learning and Data Classification (18 papers), Neural Networks and Applications (17 papers) and Face and Expression Recognition (17 papers). Anne M. P. Canuto is often cited by papers focused on Machine Learning and Data Classification (18 papers), Neural Networks and Applications (17 papers) and Face and Expression Recognition (17 papers). Anne M. P. Canuto collaborates with scholars based in Brazil, United Kingdom and United States. Anne M. P. Canuto's co-authors include Regivan Santiago, André L. V. Coelho, Márjory Da Costa‐Abreu, Marcílio C. P. de Souto, Michael Fairhurst, Benjamín Bedregal, Rodrigo G. F. Soares, Gareth Howells, Luiz M. G. Gonçalves and Ana Carolina Lorena and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Anne M. P. Canuto i

Fields of papers citing papers by Anne M. P. Canuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anne M. P. Canuto

Since Specialization
Citations

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