Sérgio M. Dias

524 total citations
30 papers, 384 citations indexed

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 30 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 18 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Sérgio M. Dias's work include Rough Sets and Fuzzy Logic (22 papers), Data Mining Algorithms and Applications (11 papers) and Semantic Web and Ontologies (6 papers). Sérgio M. Dias is often cited by papers focused on Rough Sets and Fuzzy Logic (22 papers), Data Mining Algorithms and Applications (11 papers) and Semantic Web and Ontologies (6 papers). Sérgio M. Dias collaborates with scholars based in Brazil, India and Canada. Sérgio M. Dias's co-authors include Luis E. Zárate, Aswani Kumar Cherukuri, Leda Quércia Vieira, Chenchen Huang, Jinhai Li, Henrique Cota de Freitas, Ch. Aswani Kumar, Cristiane Neri Nobre, Vagner Rodrigues Santos and Rokia Missaoui and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Sérgio M. Dias

27 papers receiving 372 citations

Peers

Sérgio M. Dias
Kai Wei China
M. M. Hosny Egypt
Nir Lipovetzky Australia
J. Recasens Spain
M. Punithavalli India
A. Jones United States
Kjell Bratbergsengen Norway
Sarangam Majumdar India
Kai Wei China
Sérgio M. Dias
Citations per year, relative to Sérgio M. Dias Sérgio M. Dias (= 1×) peers Kai Wei

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).

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.

Co-authorship network of co-authors of Sérgio M. Dias

This figure shows the co-authorship network connecting the top 25 collaborators of Sérgio M. Dias. A scholar is included among the top collaborators of Sérgio M. Dias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sérgio M. Dias. Sérgio M. Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zárate, Luis E., et al.. (2023). SciBR-M: a method to map the evolution of scientific interest - A case study in educational data mining. Library Hi Tech. 41(6). 1694–1724. 2 indexed citations
2.
Missaoui, Rokia, et al.. (2020). Exploring Different Paradigms to Extract Proper Implications From High Dimensional Formal Contexts. IEEE Access. 8. 134161–134175. 1 indexed citations
3.
Dias, Sérgio M., et al.. (2018). Identification of substructures in complex networks using formal concept analysis. International Journal of Web Information Systems. 14(3). 281–298. 2 indexed citations
4.
5.
6.
Dias, Sérgio M., et al.. (2017). A methodology for analysis of concept lattice reduction. Information Sciences. 396. 202–217. 27 indexed citations
7.
8.
9.
Zárate, Luis E., et al.. (2015). Using implications from FCA to represent a two mode network data. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 2015. 256–259. 1 indexed citations
10.
Dias, Sérgio M., et al.. (2015). Concept lattices reduction: Definition, analysis and classification. Expert Systems with Applications. 42(20). 7084–7097. 75 indexed citations
11.
Dias, Sérgio M., et al.. (2012). Extracting reducible knowledge from ANN with JBOS and FCANN approaches. Expert Systems with Applications. 40(8). 3087–3095. 4 indexed citations
12.
Dias, Sérgio M., et al.. (2011). Um Arcabouço para Desenvolvimento de Algoritmos da Análise Formal de Conceitos. Revista de Informática Teórica e Aplicada. 18(1). 31–31. 2 indexed citations
13.
Dias, Sérgio M., et al.. (2010). Reducing the Size of Concept Lattices: The JBOS Approach.. 80–91. 21 indexed citations
14.
Dias, Sérgio M.. (2010). Algoritmos para geração de reticulados conceituais. Americanae (AECID Library). 1 indexed citations
15.
Zárate, Luis E. & Sérgio M. Dias. (2009). Qualitative behavior rules for the cold rolling process extracted from trained ANN via the FCANN method. Engineering Applications of Artificial Intelligence. 22(4-5). 718–731. 20 indexed citations
16.
Zárate, Luis E., et al.. (2008). FCANN: A new approach for extraction and representation of knowledge from ANN trained via Formal Concept Analysis. Neurocomputing. 71(13-15). 2670–2684. 21 indexed citations
17.
Dias, Sérgio M., et al.. (2007). Antifungal activity of commercial ethanolic and aqueous extracts of Brazilian propolis against Candida spp. Revista de Ciências Farmacêutica Básica e Aplicadas - RCFBA. 28(3). 259–263. 4 indexed citations
18.
Zárate, Luis E., et al.. (2006). SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study.. Software Engineering and Knowledge Engineering. 631–638.
19.
Zárate, Luis E. & Sérgio M. Dias. (2006). FCANN: An Approach to Knowledge Representation From ANN Through Formal Concept Analysis - Application in the Cold Rolling Process. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society. 18. 3773–3778.
20.
Dias, Sérgio M., et al.. (2003). A method to obtain axenic Angiostrongylus vasorum first-stage larvae from dog feces. Parasitology Research. 89(2). 89–93. 56 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kai Wei Breakdown of academic impact, for papers by M. M. Hosny Breakdown of academic impact, for papers by Nir Lipovetzky Breakdown of academic impact, for papers by J. Recasens Breakdown of academic impact, for papers by M. Punithavalli Breakdown of academic impact, for papers by A. Jones Breakdown of academic impact, for papers by Kjell Bratbergsengen Breakdown of academic impact, for papers by Sarangam Majumdar
Rankless by CCL
2026