Matheus F. Torquato

About

Matheus F. Torquato is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Matheus F. Torquato has authored 17 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Matheus F. Torquato’s work include Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Neural Networks and Applications (2 papers). Matheus F. Torquato is often cited by papers focused on Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Neural Networks and Applications (2 papers). Matheus F. Torquato collaborates with scholars based in United Kingdom, Brazil and Egypt. Matheus F. Torquato's co-authors include Marcelo A. C. Fernandes, Ashraf Fahmy, Johann Sienz, Ian Cameron, Ernesto A. B. F. Lima, Moreno Magalhães de Souza Rodrigues, Suani T. R. Pinho, Juliane F. Oliveira, Roberto F. S. Andrade and Rafael Veiga and has published in prestigious journals such as Nature Communications, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Matheus F. Torquato i

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Fields of papers citing papers by Matheus F. Torquato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matheus F. Torquato. 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 Matheus F. Torquato. The network helps show where Matheus F. Torquato may publish in the future.

Countries citing papers authored by Matheus F. Torquato

Since Specialization

Citations

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