Alfonso Urquía

51 papers and 567 indexed citations i.

About

Alfonso Urquía is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Media Technology. According to data from OpenAlex, Alfonso Urquía has authored 51 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computational Theory and Mathematics, 25 papers in Management Science and Operations Research and 15 papers in Media Technology. Recurrent topics in Alfonso Urquía’s work include Modeling and Simulation Systems (32 papers), Simulation Techniques and Applications (25 papers) and Experimental Learning in Engineering (15 papers). Alfonso Urquía is often cited by papers focused on Modeling and Simulation Systems (32 papers), Simulation Techniques and Applications (25 papers) and Experimental Learning in Engineering (15 papers). Alfonso Urquía collaborates with scholars based in Spain, Switzerland and Germany. Alfonso Urquía's co-authors include S. Dormido, Miguel A. Rubio, C. Martı́n, Cefe López, N. Shinya, Hideki T. Miyazaki, Marta Ibisate, Florencio García‐Santamaría, F. Meseguer and Manuel Belmonte and has published in prestigious journals such as Advanced Materials, Journal of Power Sources and Applied Energy.

In The Last Decade

Co-authorship network of co-authors of Alfonso Urquía i

Fields of papers citing papers by Alfonso Urquía

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alfonso Urquía

Since Specialization
Citations

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