Sara Monsurrò

29 papers and 201 indexed citations i.

About

Sara Monsurrò is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Computational Mechanics. According to data from OpenAlex, Sara Monsurrò has authored 29 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 16 papers in Applied Mathematics and 10 papers in Computational Mechanics. Recurrent topics in Sara Monsurrò’s work include Advanced Mathematical Modeling in Engineering (27 papers), Nonlinear Partial Differential Equations (14 papers) and Advanced Numerical Methods in Computational Mathematics (10 papers). Sara Monsurrò is often cited by papers focused on Advanced Mathematical Modeling in Engineering (27 papers), Nonlinear Partial Differential Equations (14 papers) and Advanced Numerical Methods in Computational Mathematics (10 papers). Sara Monsurrò collaborates with scholars based in Italy, France and India. Sara Monsurrò's co-authors include Patrizia Donato, Maria Transirico, A. K. Nandakumaran and Elvira Zappale and has published in prestigious journals such as Nonlinear Analysis, SIAM Journal on Mathematical Analysis and Calculus of Variations and Partial Differential Equations.

In The Last Decade

Co-authorship network of co-authors of Sara Monsurrò i

Fields of papers citing papers by Sara Monsurrò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sara Monsurrò

Since Specialization
Citations

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