Giusi Vaira

31 papers and 781 indexed citations i.

About

Giusi Vaira is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Giusi Vaira has authored 31 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Applied Mathematics, 25 papers in Computational Theory and Mathematics and 16 papers in Mathematical Physics. Recurrent topics in Giusi Vaira’s work include Nonlinear Partial Differential Equations (28 papers), Advanced Mathematical Modeling in Engineering (25 papers) and Spectral Theory in Mathematical Physics (8 papers). Giusi Vaira is often cited by papers focused on Nonlinear Partial Differential Equations (28 papers), Advanced Mathematical Modeling in Engineering (25 papers) and Spectral Theory in Mathematical Physics (8 papers). Giusi Vaira collaborates with scholars based in Italy, Chile and South Korea. Giusi Vaira's co-authors include Giovanna Cerami, Isabella Ianni, Angela Pistoia, David Ruiz, Pietro d’Avenia, Alessio Pomponio, Benedetta Pellacci, Gianmaria Verzini, Manuel del Pino and Antonio Azzollini and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and Journal of Functional Analysis.

In The Last Decade

Co-authorship network of co-authors of Giusi Vaira i

Fields of papers citing papers by Giusi Vaira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Giusi Vaira

Since Specialization
Citations

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