Mikel Elkano

14 papers and 608 indexed citations i.

About

Mikel Elkano is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Mikel Elkano has authored 14 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Management Science and Operations Research. Recurrent topics in Mikel Elkano’s work include Fuzzy Logic and Control Systems (12 papers), Imbalanced Data Classification Techniques (6 papers) and Rough Sets and Fuzzy Logic (5 papers). Mikel Elkano is often cited by papers focused on Fuzzy Logic and Control Systems (12 papers), Imbalanced Data Classification Techniques (6 papers) and Rough Sets and Fuzzy Logic (5 papers). Mikel Elkano collaborates with scholars based in Spain, Saudi Arabia and Brazil. Mikel Elkano's co-authors include Humberto Bustince, José Sanz, Mikel Galar, Graçaliz Pereira Dimuro, Maria José Asiáin, Edurne Barrenechea, Francisco Herrera, Alberto Fernández, Giancarlo Lucca and Benjamín Bedregal and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

In The Last Decade

Co-authorship network of co-authors of Mikel Elkano i

Fields of papers citing papers by Mikel Elkano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mikel Elkano

Since Specialization
Citations

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