Francesca Greselin

37 papers and 300 indexed citations i.

About

Francesca Greselin is a scholar working on Artificial Intelligence, Sociology and Political Science and Statistics and Probability. According to data from OpenAlex, Francesca Greselin has authored 37 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Sociology and Political Science and 14 papers in Statistics and Probability. Recurrent topics in Francesca Greselin’s work include Income, Poverty, and Inequality (14 papers), Bayesian Methods and Mixture Models (12 papers) and Advanced Statistical Methods and Models (10 papers). Francesca Greselin is often cited by papers focused on Income, Poverty, and Inequality (14 papers), Bayesian Methods and Mixture Models (12 papers) and Advanced Statistical Methods and Models (10 papers). Francesca Greselin collaborates with scholars based in Italy, Canada and Spain. Francesca Greselin's co-authors include Ričardas Zitikis, Salvatore Ingrassia, Antonio Punzo, Madan L. Puri, Thomas Brendan Murphy, Luis Ángel García-Escudero, Agustín Mayo-Íscar, Alfonso Gordaliza, Youri Davydov and Luca Bagnato and has published in prestigious journals such as Analytica Chimica Acta, The American Statistician and Computational Statistics & Data Analysis.

In The Last Decade

Co-authorship network of co-authors of Francesca Greselin i

Fields of papers citing papers by Francesca Greselin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesca Greselin

Since Specialization
Citations

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