Edurne Barrenechea
- Artificial Intelligence top 0.2%
- Management Science and Operations Research top 0.1%
- Computational Theory and Mathematics top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Statistics and Probability top 0.5%
- Co-authors
- Humberto BustinceFrancisco HerreraMikel GalarAlberto FernándezMiguel PagolaJavier FernándezBenjamín BedregalJavier Montero
- Topics
- Multi-Criteria Decision Making (38 papers)Fuzzy Logic and Control Systems (29 papers)Rough Sets and Fuzzy Logic (26 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceStatistics and Probability
- Partner nations
- SpainSaudi ArabiaPortugal
In The Last Decade
Edurne Barrenechea
85 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Artificial Intelligence 3.6k
- Management Science and Operations Research 1.9k
- Computational Theory and Mathematics 1.3k
- Computer Vision and Pattern Recognition 1.1k
- Statistics and Probability 868
Countries citing papers authored by Edurne Barrenechea
This map shows the geographic impact of Edurne Barrenechea'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 Edurne Barrenechea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edurne Barrenechea more than expected).
Fields of papers citing papers by Edurne Barrenechea
This network shows the impact of papers produced by Edurne Barrenechea. 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 Edurne Barrenechea. The network helps show where Edurne Barrenechea may publish in the future.
Co-authorship network of co-authors of Edurne Barrenechea
This figure shows the co-authorship network connecting the top 25 collaborators of Edurne Barrenechea. A scholar is included among the top collaborators of Edurne Barrenechea 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 Edurne Barrenechea. Edurne Barrenechea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 34 | |
| 4 | 5 | |
| 5 | Cuantificar los hechos represivos: explicación y retos de la base de datos del fondo documental de la memoria histórica en Navarra | 0 |
| 6 | 42 | |
| 7 | 16 | |
| 8 | 80 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 70 | |
| 14 | Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions | 1 |
| 15 | 80 | |
| 16 | A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approachesbreakdown → | 2006 |
| 17 | 3 | |
| 18 | Generalized Atanassov's Intuitionistic Fuzzy Index. Construction Method. | 7 |
| 19 | 33 | |
| 20 | 1 |
About Edurne Barrenechea
Edurne Barrenechea is a scholar working on Management Science and Operations Research, Media Technology and Computational Theory and Mathematics, having authored 91 papers that have together received 6.4k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (38 papers), Fuzzy Logic and Control Systems (29 papers) and Rough Sets and Fuzzy Logic (26 papers). The work is most often cited by research in Management Science and Operations Research (1.9k citations), Artificial Intelligence (3.6k citations) and Statistics and Probability (868 citations). Edurne Barrenechea has collaborated with scholars based in Spain, Saudi Arabia and Portugal. Frequent co-authors include Humberto Bustince, Francisco Herrera, Mikel Galar, Alberto Fernández, Miguel Pagola, Javier Fernández, Benjamín Bedregal, Javier Montero, Bernard De Baets and José Sanz. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.
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.