Mercedes Rosas

20 papers and 251 indexed citations i.

About

Mercedes Rosas is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology and Algebra and Number Theory. According to data from OpenAlex, Mercedes Rosas has authored 20 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Discrete Mathematics and Combinatorics, 14 papers in Geometry and Topology and 12 papers in Algebra and Number Theory. Recurrent topics in Mercedes Rosas’s work include Advanced Combinatorial Mathematics (17 papers), Algebraic structures and combinatorial models (10 papers) and Advanced Mathematical Identities (8 papers). Mercedes Rosas is often cited by papers focused on Advanced Combinatorial Mathematics (17 papers), Algebraic structures and combinatorial models (10 papers) and Advanced Mathematical Identities (8 papers). Mercedes Rosas collaborates with scholars based in Spain, Canada and United States. Mercedes Rosas's co-authors include Rosa Orellana, Bruce E. Sagan, Mike Zabrocki, Nantel Bergeron, Christophe Reutenauer, François Bergeron, Sara Faridi, Christophe Hohlweg, Marni Mishna and Sheila Sundaram and has published in prestigious journals such as Transactions of the American Mathematical Society, Journal of Physics A Mathematical and Theoretical and Journal of Algebra.

In The Last Decade

Co-authorship network of co-authors of Mercedes Rosas i

Fields of papers citing papers by Mercedes Rosas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mercedes Rosas

Since Specialization
Citations

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