Sérgio M. Dias

20 papers and 316 indexed citations i.

About

Sérgio M. Dias is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Sérgio M. Dias has authored 20 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 14 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Sérgio M. Dias’s work include Rough Sets and Fuzzy Logic (16 papers), Data Mining Algorithms and Applications (7 papers) and Semantic Web and Ontologies (5 papers). Sérgio M. Dias is often cited by papers focused on Rough Sets and Fuzzy Logic (16 papers), Data Mining Algorithms and Applications (7 papers) and Semantic Web and Ontologies (5 papers). Sérgio M. Dias collaborates with scholars based in Brazil, India and Canada. Sérgio M. Dias's co-authors include Aswani Kumar Cherukuri, Luis E. Zárate, Leda Quércia Vieira, Chenchen Huang, Jinhai Li, Rokia Missaoui, Vagner Rodrigues Santos, Ch. Aswani Kumar, María Esperanza Cortés and Cristiane Neri Nobre 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 Sérgio M. Dias i

Fields of papers citing papers by Sérgio M. Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sérgio M. Dias. 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 Sérgio M. Dias. The network helps show where Sérgio M. Dias may publish in the future.

Countries citing papers authored by Sérgio M. Dias

Since Specialization
Citations

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