Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Uncertain rule-based fuzzy logic systems: introduction and new directions
20021.2k citationsFernando GomideFuzzy Sets and Systemsprofile →
An Introduction to Fuzzy Sets
1998765 citationsWitold Pedrycz, Fernando Gomideprofile →
Ten years of genetic fuzzy systems: current framework and new trends
2003591 citationsÓscar Cordón, Fernando Gomide et al.Fuzzy Sets and Systemsprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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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).
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.
Co-authorship network of co-authors of Fernando Gomide
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Gomide.
A scholar is included among the top collaborators of Fernando Gomide 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 Fernando Gomide. Fernando Gomide is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gomide, Fernando, et al.. (2009). Coevolutionary Genetic Fuzzy System to Assess Multiagent Bidding Strategies in Electricity Markets.. European Society for Fuzzy Logic and Technology Conference. 1114–1119.1 indexed citations
8.
Ballini, Rosângela, et al.. (2007). Training Neurofuzzy Networks with Participatory Learning.. European Society for Fuzzy Logic and Technology Conference. 231–236.4 indexed citations
9.
Gomide, Fernando, et al.. (2005). Hybrid Genetic Algorithms and Clustering. European Society for Fuzzy Logic and Technology Conference. 4(1). 1009–1016.1 indexed citations
Gomide, Fernando, et al.. (2003). Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems.. European Society for Fuzzy Logic and Technology Conference. 114–119.1 indexed citations
12.
Carse, Brian, Tony Pipe, Antonio Skármeta, et al.. (2003). Current issues and future directions in evolutionary fuzzy systems research.. European Society for Fuzzy Logic and Technology Conference. 81–87.1 indexed citations
Gudwin, Ricardo & Fernando Gomide. (1997). An Approach to Computational Semiotics.9 indexed citations
18.
Gudwin, Ricardo & Fernando Gomide. (1994). Context Adaptation in Fuzzy Processing.5 indexed citations
19.
Freitas, Rubens Moreno de, et al.. (1994). Fuzzy distributed artificial intelligence systems. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 462–467 vol.1.23 indexed citations
20.
Gomide, Fernando, Anderson Rocha, & Pedro Albertos. (1992). Neurofuzzy Controllers. IFAC Proceedings Volumes. 25(25). 13–26.12 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.