Mikel Elkano
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- Multi-Criteria Decision Making 4
- Statistics and Probability top 2%
- Fuzzy Systems and Optimization 3
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- Rough Sets and Fuzzy Logic 5
- Artificial Intelligence top 5%
- Fuzzy Logic and Control Systems 13
- Imbalanced Data Classification Techniques 6
- Machine Learning and Data Classification 4
- Data Stream Mining Techniques 2
- Health Information Management top 10%
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- Data Mining Algorithms and Applications 4
- Co-authors
- Humberto BustinceJosé SanzMikel GalarGraçaliz Pereira DimuroMaria José AsiáinEdurne BarrenecheaAlberto FernándezGiancarlo Lucca
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputational Theory and Mathematics
- Journals
- Information Sciences (2 papers)IEEE Transactions on Fuzzy Systems (2 papers)Fuzzy Sets and Systems (1 paper)
- Partner nations
- SpainSaudi ArabiaBrazil
In The Last Decade
Mikel Elkano
15 papers receiving 644 citations
Peers
Comparison fields: 5 of 75
- Management Science and Operations Research 399
- Statistics and Probability 167
- Computational Theory and Mathematics 296
- Artificial Intelligence 304
- Health Information Management 18
Countries citing papers authored by Mikel Elkano
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).
Fields of papers citing papers by Mikel Elkano
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.
Co-authorship network
The 16 scholars most cited alongside Mikel Elkano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 3 | |
| 2 | 2019 | 34 | |
| 3 | 2019 | 6 | |
| 4 | 2018 | 18 | |
| 5 | 2017 | 69 | |
| 6 | 2017 | 49 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 89 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 5 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 21 | |
| 13 | 2016 | 126 | |
| 14 | 2015 | 105 | |
| 15 | 2014 | 129 |
About Mikel Elkano
Mikel Elkano is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research, having authored 15 papers that have together received 661 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (13 papers), Imbalanced Data Classification Techniques (6 papers), Rough Sets and Fuzzy Logic (5 papers), Machine Learning and Data Classification (4 papers), Multi-Criteria Decision Making (4 papers), Data Mining Algorithms and Applications (4 papers), Fuzzy Systems and Optimization (3 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (399 citations), Statistics and Probability (167 citations) and Computational Theory and Mathematics (296 citations). Mikel Elkano has collaborated with scholars based in Spain, Saudi Arabia and Brazil. Frequent co-authors include Humberto Bustince, José Sanz, Mikel Galar, Graçaliz Pereira Dimuro, Maria José Asiáin, Edurne Barrenechea, Alberto Fernández, Giancarlo Lucca, Francisco Herrera and Benjamín Bedregal. Their work appears in journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.
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.