Mariarosa Mazza

32 papers and 448 indexed citations i.

About

Mariarosa Mazza is a scholar working on Modeling and Simulation, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Mariarosa Mazza has authored 32 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Modeling and Simulation, 14 papers in Computational Theory and Mathematics and 11 papers in Numerical Analysis. Recurrent topics in Mariarosa Mazza’s work include Fractional Differential Equations Solutions (15 papers), Matrix Theory and Algorithms (12 papers) and Numerical methods in engineering (10 papers). Mariarosa Mazza is often cited by papers focused on Fractional Differential Equations Solutions (15 papers), Matrix Theory and Algorithms (12 papers) and Numerical methods in engineering (10 papers). Mariarosa Mazza collaborates with scholars based in Italy, Germany and Sweden. Mariarosa Mazza's co-authors include Stefano Serra‐Capizzano, Marco Donatelli, Mehdi Dehghan, Carlo Garoni, Jennifer Pestana, Stefano De Marchı, Francesco Dell’Accio, Ahmed Ratnani, Rolf Krause and Leonardo Robol and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.

In The Last Decade

Co-authorship network of co-authors of Mariarosa Mazza i

Fields of papers citing papers by Mariarosa Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mariarosa Mazza

Since Specialization
Citations

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