G. Mastroianni

141 papers and 1.6k indexed citations i.

About

G. Mastroianni is a scholar working on Applied Mathematics, Numerical Analysis and Statistics and Probability. According to data from OpenAlex, G. Mastroianni has authored 141 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Applied Mathematics, 67 papers in Numerical Analysis and 40 papers in Statistics and Probability. Recurrent topics in G. Mastroianni’s work include Mathematical functions and polynomials (97 papers), Approximation Theory and Sequence Spaces (40 papers) and Iterative Methods for Nonlinear Equations (40 papers). G. Mastroianni is often cited by papers focused on Mathematical functions and polynomials (97 papers), Approximation Theory and Sequence Spaces (40 papers) and Iterative Methods for Nonlinear Equations (40 papers). G. Mastroianni collaborates with scholars based in Italy, Hungary and Serbia. G. Mastroianni's co-authors include Giuliana Criscuolo, Donatella Occorsio, Giovanni Monegato, Вилмос Тотик, Gradimir V. Milovanović, Biancamaria Della Vecchia, J. Szabados, P. Vértesi, Maria Grazia Russo and Walter Gautschi and has published in prestigious journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.

In The Last Decade

Co-authorship network of co-authors of G. Mastroianni i

Fields of papers citing papers by G. Mastroianni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Mastroianni

Since Specialization
Citations

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