Diego Mesquita

19 papers and 193 indexed citations i.

About

Diego Mesquita is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Diego Mesquita has authored 19 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Diego Mesquita’s work include Machine Learning and ELM (7 papers), Neural Networks and Applications (7 papers) and Face and Expression Recognition (5 papers). Diego Mesquita is often cited by papers focused on Machine Learning and ELM (7 papers), Neural Networks and Applications (7 papers) and Face and Expression Recognition (5 papers). Diego Mesquita collaborates with scholars based in Brazil, Finland and Sweden. Diego Mesquita's co-authors include João P. P. Gomes, Amauri H. Souza, Juvêncio S. Nobre, Leonardo Ramos Rodrigues, Roberto Kawakami Harrop Galvão, Ajalmar R. Rocha Neto, Lincoln S. Rocha, César Mattos, Samuel Kaski and Francesco Corona and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Diego Mesquita i

Fields of papers citing papers by Diego Mesquita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diego Mesquita

Since Specialization
Citations

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