Javier Fernández

125 papers receiving 3.6k citations

Hit Papers

A Historical Account of Types of Fuzzy Sets and Their Rel...20152026201820222015100200300

Peers

Javier Fernández
Comparison fields: 5 of 129
  • Management Science and Operations Research 2.3k
  • Artificial Intelligence 1.6k
  • Computational Theory and Mathematics 1.4k
  • Statistics and Probability 1.1k
  • Control and Systems Engineering 562
Replace Irina Perfilieva with:
Irina Perfilieva Czechia
Miguel Pagola Spain
Erich Peter Klement Austria
Benjamín Bedregal Brazil
Wen‐Liang Hung Taiwan
Graçaliz Pereira Dimuro Brazil
Toshiaki Murofushi Japan
Elbert A. Walker United States
Aldo de Luca Italy
José Sanz Spain
Javier Fernández relative to Irina Perfilieva Czechia Irina Perfilieva's profile →
Citations per field
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Irina Perfilieva · 1×
Citations per year

Countries citing papers authored by Javier Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Javier Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Fernández

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Fernández. A scholar is included among the top collaborators of Javier Fernández 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 Javier Fernández. Javier Fernández 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
#WorkIndexed citations
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Aggregation Functions in Theory and in Practise: Proceedings of the 7th International Summer School on Aggregation Operators at the Public University ... in Intelligent Systems and Computing)
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Overlap index, overlap functions and migrativity
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About Javier Fernández

Javier Fernández is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 131 papers that have together received 3.7k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (78 papers), Fuzzy Systems and Optimization (41 papers) and Fuzzy Logic and Control Systems (38 papers). The work is most often cited by research in Management Science and Operations Research (2.3k citations), Statistics and Probability (1.1k citations) and Computational Theory and Mathematics (1.4k citations). Javier Fernández has collaborated with scholars based in Spain, Slovakia and Brazil. Frequent co-authors include Humberto Bustince, Radko Mesiar, Edurne Barrenechea, Miguel Pagola, Benjamín Bedregal, Javier Montero, Anna Kolesárová, Graçaliz Pereira Dimuro, José Sanz and Bernard De Baets. Their work appears in journals such as European Journal of Operational Research, IEEE Transactions on Image Processing and Journal of Hepatology.

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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