Graziella Pacelli

41 papers and 352 indexed citations i.

About

Graziella Pacelli is a scholar working on Finance, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Graziella Pacelli has authored 41 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Finance, 11 papers in Numerical Analysis and 7 papers in Computational Mechanics. Recurrent topics in Graziella Pacelli’s work include Stochastic processes and financial applications (24 papers), Financial Risk and Volatility Modeling (11 papers) and Credit Risk and Financial Regulations (8 papers). Graziella Pacelli is often cited by papers focused on Stochastic processes and financial applications (24 papers), Financial Risk and Volatility Modeling (11 papers) and Credit Risk and Financial Regulations (8 papers). Graziella Pacelli collaborates with scholars based in Italy, Czechia and Brazil. Graziella Pacelli's co-authors include Luca Vincenzo Ballestra, Davide Radi, Francesco Zirilli, Maria Cristina Recchioni, Silvio Cardinali, Francesca Marıanı, Luca Guerrini, Matteo Ottaviani and Garth A. Baker and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Banking & Finance and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Graziella Pacelli i

Fields of papers citing papers by Graziella Pacelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Graziella Pacelli

Since Specialization
Citations

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