María Rosa Casals

23 papers and 423 indexed citations i.

About

María Rosa Casals is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, María Rosa Casals has authored 23 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Management Science and Operations Research and 16 papers in Statistics and Probability. Recurrent topics in María Rosa Casals’s work include Multi-Criteria Decision Making (16 papers), Fuzzy Systems and Optimization (16 papers) and Fuzzy Logic and Control Systems (12 papers). María Rosa Casals is often cited by papers focused on Multi-Criteria Decision Making (16 papers), Fuzzy Systems and Optimization (16 papers) and Fuzzy Logic and Control Systems (12 papers). María Rosa Casals collaborates with scholars based in Spain, United States and Belgium. María Rosa Casals's co-authors include Marı́a Ángeles Gil, Pedro Gil, Manuel Montenegro, Ana Colubi, Gil González‐Rodríguez, Norberto Corral, Marina Pollán, Beatriz Pérez‐Gómez, Rafael Llobet and Beatriz Sinova and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and Fuzzy Sets and Systems.

In The Last Decade

Co-authorship network of co-authors of María Rosa Casals i

Fields of papers citing papers by María Rosa Casals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Rosa Casals. 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 María Rosa Casals. The network helps show where María Rosa Casals may publish in the future.

Countries citing papers authored by María Rosa Casals

Since Specialization
Citations

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