Laura De Miguel

29 papers and 416 indexed citations i.

About

Laura De Miguel is a scholar working on Management Science and Operations Research, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Laura De Miguel has authored 29 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 17 papers in Statistics and Probability and 10 papers in Artificial Intelligence. Recurrent topics in Laura De Miguel’s work include Multi-Criteria Decision Making (21 papers), Fuzzy Systems and Optimization (16 papers) and Fuzzy Logic and Control Systems (8 papers). Laura De Miguel is often cited by papers focused on Multi-Criteria Decision Making (21 papers), Fuzzy Systems and Optimization (16 papers) and Fuzzy Logic and Control Systems (8 papers). Laura De Miguel collaborates with scholars based in Spain, Slovakia and Brazil. Laura De Miguel's co-authors include Humberto Bustince, Radko Mesiar, Graçaliz Pereira Dimuro, Mikel Sesma‐Sara, Javier Fernández, Esteban Induráin, Javier Montero, Anna Kolesárová, José Sanz and Daniel Gómez 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 Laura De Miguel i

Fields of papers citing papers by Laura De Miguel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura De Miguel. 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 Laura De Miguel. The network helps show where Laura De Miguel may publish in the future.

Countries citing papers authored by Laura De Miguel

Since Specialization
Citations

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