Fernando Gomide

125 papers and 3.5k indexed citations i.

About

Fernando Gomide is a scholar working on Artificial Intelligence, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Fernando Gomide has authored 125 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 24 papers in Control and Systems Engineering and 24 papers in Management Science and Operations Research. Recurrent topics in Fernando Gomide’s work include Fuzzy Logic and Control Systems (61 papers), Neural Networks and Applications (53 papers) and Stock Market Forecasting Methods (16 papers). Fernando Gomide is often cited by papers focused on Fuzzy Logic and Control Systems (61 papers), Neural Networks and Applications (53 papers) and Stock Market Forecasting Methods (16 papers). Fernando Gomide collaborates with scholars based in Brazil, United States and Canada. Fernando Gomide's co-authors include Daniel Leite, Rosângela Ballini, André Lemos, Walmir M. Caminhas, Leandro Maciel, Luis Magdalena, Francisco Herrera, Óscar Cordón, Frank Hoffmann and Pyramo Costa and has published in prestigious journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Fernando Gomide i

Fields of papers citing papers by Fernando Gomide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fernando Gomide

Since Specialization
Citations

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