Elvira Di Nardo

51 papers and 366 indexed citations i.

About

Elvira Di Nardo is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics and Finance. According to data from OpenAlex, Elvira Di Nardo has authored 51 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 13 papers in Statistical and Nonlinear Physics and 13 papers in Finance. Recurrent topics in Elvira Di Nardo’s work include Advanced Combinatorial Mathematics (9 papers), Stochastic processes and statistical mechanics (9 papers) and Stochastic processes and financial applications (8 papers). Elvira Di Nardo is often cited by papers focused on Advanced Combinatorial Mathematics (9 papers), Stochastic processes and statistical mechanics (9 papers) and Stochastic processes and financial applications (8 papers). Elvira Di Nardo collaborates with scholars based in Italy, United States and Ethiopia. Elvira Di Nardo's co-authors include D. Senato, Luigi M. Ricciardi, Enrica Pirozzi, A. G. Nobile, Giuseppe D’Onofrio, Antonio Di Crescenzo, Vincenzo Pavone, Massimo Martino, Attilio Olivieri and Sabrina Coluzzi and has published in prestigious journals such as The Annals of Statistics, International Journal of Climatology and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of Elvira Di Nardo i

Fields of papers citing papers by Elvira Di Nardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elvira Di Nardo. 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 Elvira Di Nardo. The network helps show where Elvira Di Nardo may publish in the future.

Countries citing papers authored by Elvira Di Nardo

Since Specialization
Citations

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