Marina Popolizio

20 papers and 634 indexed citations i.

About

Marina Popolizio is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics. According to data from OpenAlex, Marina Popolizio has authored 20 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Numerical Analysis, 14 papers in Modeling and Simulation and 6 papers in Computational Theory and Mathematics. Recurrent topics in Marina Popolizio’s work include Fractional Differential Equations Solutions (14 papers), Numerical methods for differential equations (11 papers) and Iterative Methods for Nonlinear Equations (8 papers). Marina Popolizio is often cited by papers focused on Fractional Differential Equations Solutions (14 papers), Numerical methods for differential equations (11 papers) and Iterative Methods for Nonlinear Equations (8 papers). Marina Popolizio collaborates with scholars based in Italy, United Arab Emirates and Romania. Marina Popolizio's co-authors include Roberto Garrappa, Igor Moret, Éva Kaslik, Valeria Simoncini, Ivano Colombaro, Federico Polito, Andrea Giusti, Roberto Garra, Francesco Mainardi and Tiziano Politi and has published in prestigious journals such as Journal of Computational Physics, Journal of Mathematical Analysis and Applications and Computers & Mathematics with Applications.

In The Last Decade

Co-authorship network of co-authors of Marina Popolizio i

Fields of papers citing papers by Marina Popolizio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marina Popolizio

Since Specialization
Citations

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