Daniel Ruiz-Aguilera

43 papers and 935 indexed citations i.

About

Daniel Ruiz-Aguilera is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Daniel Ruiz-Aguilera has authored 43 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 29 papers in Management Science and Operations Research and 12 papers in Artificial Intelligence. Recurrent topics in Daniel Ruiz-Aguilera’s work include Multi-Criteria Decision Making (29 papers), Advanced Algebra and Logic (20 papers) and Rough Sets and Fuzzy Logic (18 papers). Daniel Ruiz-Aguilera is often cited by papers focused on Multi-Criteria Decision Making (29 papers), Advanced Algebra and Logic (20 papers) and Rough Sets and Fuzzy Logic (18 papers). Daniel Ruiz-Aguilera collaborates with scholars based in Spain, China and Poland. Daniel Ruiz-Aguilera's co-authors include Joan Torrens, Sebastià Massanet, M. Mas, M. Monserrat, Manuel González-Hidalgo, Arnau Mir, Paweł Drygaś, Juan Vicente Riera, Yong Su and Huawen Liu 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 Daniel Ruiz-Aguilera i

Fields of papers citing papers by Daniel Ruiz-Aguilera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Ruiz-Aguilera. 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 Daniel Ruiz-Aguilera. The network helps show where Daniel Ruiz-Aguilera may publish in the future.

Countries citing papers authored by Daniel Ruiz-Aguilera

Since Specialization
Citations

This map shows the geographic impact of Daniel Ruiz-Aguilera'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 Daniel Ruiz-Aguilera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ruiz-Aguilera 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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2025