Ricardo Cerri

47 papers and 513 indexed citations i.

About

Ricardo Cerri is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ricardo Cerri has authored 47 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 20 papers in Molecular Biology and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ricardo Cerri’s work include Text and Document Classification Technologies (24 papers), Machine Learning in Bioinformatics (14 papers) and Machine Learning and Data Classification (12 papers). Ricardo Cerri is often cited by papers focused on Text and Document Classification Technologies (24 papers), Machine Learning in Bioinformatics (14 papers) and Machine Learning and Data Classification (12 papers). Ricardo Cerri collaborates with scholars based in Brazil, United Kingdom and Belgium. Ricardo Cerri's co-authors include Rodrigo C. Barros, André C. P. L. F. de Carvalho, Jônatas Wehrmann, Sylvio Barbon, Yaochu Jin, Gisele L. Pappa, Saulo Martiello Mastelini, Celine Vens, Rafael Gomes Mantovani and Alex A. Freitas and has published in prestigious journals such as Bioinformatics, Gene and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Ricardo Cerri i

Fields of papers citing papers by Ricardo Cerri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ricardo Cerri

Since Specialization
Citations

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