Péricles Miranda

33 papers and 271 indexed citations i.

About

Péricles Miranda is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Péricles Miranda has authored 33 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Péricles Miranda’s work include Metaheuristic Optimization Algorithms Research (16 papers), Machine Learning and Data Classification (10 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Péricles Miranda is often cited by papers focused on Metaheuristic Optimization Algorithms Research (16 papers), Machine Learning and Data Classification (10 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Péricles Miranda collaborates with scholars based in Brazil, India and United States. Péricles Miranda's co-authors include Ricardo B. C. Prudêncio, Tapas Si, Carlos Soares, André C. P. L. F. de Carvalho, André Nascimento, Ivan G. Costa, Ana Carolina Lorena, Gisele L. Pappa, Rafael Ferreira Mello and C.A.B. Mello 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 Péricles Miranda i

Fields of papers citing papers by Péricles Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Péricles Miranda

Since Specialization
Citations

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