Raquel Ureña

37 papers and 1.8k indexed citations i.

About

Raquel Ureña is a scholar working on Artificial Intelligence, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Raquel Ureña has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 18 papers in Management Science and Operations Research and 6 papers in Sociology and Political Science. Recurrent topics in Raquel Ureña’s work include Multi-Criteria Decision Making (16 papers), Rough Sets and Fuzzy Logic (6 papers) and Cognitive Science and Mapping (5 papers). Raquel Ureña is often cited by papers focused on Multi-Criteria Decision Making (16 papers), Rough Sets and Fuzzy Logic (6 papers) and Cognitive Science and Mapping (5 papers). Raquel Ureña collaborates with scholars based in Spain, United Kingdom and Saudi Arabia. Raquel Ureña's co-authors include Enrique Herrera–Viedma, Francisco Chiclana, Juan Antonio Morente-Molinera, Gang Kou, Ignacio Javier Pérez, Yucheng Dong, Francisco Javier Cabrerizo, Witold Pedrycz, Guy Mélançon and Hamido Fujita and has published in prestigious journals such as Scientific Reports, Sensors and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Raquel Ureña i

Fields of papers citing papers by Raquel Ureña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raquel Ureña

Since Specialization
Citations

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