Chiara Masci

17 papers and 267 indexed citations i.

About

Chiara Masci is a scholar working on Education, Statistics and Probability and Computer Science Applications. According to data from OpenAlex, Chiara Masci has authored 17 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Education, 4 papers in Statistics and Probability and 4 papers in Computer Science Applications. Recurrent topics in Chiara Masci’s work include School Choice and Performance (9 papers), Online Learning and Analytics (4 papers) and Intergenerational and Educational Inequality Studies (2 papers). Chiara Masci is often cited by papers focused on School Choice and Performance (9 papers), Online Learning and Analytics (4 papers) and Intergenerational and Educational Inequality Studies (2 papers). Chiara Masci collaborates with scholars based in Italy, Belgium and Iran. Chiara Masci's co-authors include Tommaso Agasisti, Francesca Ieva, Anna Maria Paganoni, Geraint Johnes, Kristof De Witte, Arturo Chiti, Luca Viganò, Martina Sollini, Guido Torzilli and Guido Costa and has published in prestigious journals such as Scientific Reports, European Journal of Operational Research and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Co-authorship network of co-authors of Chiara Masci i

Fields of papers citing papers by Chiara Masci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chiara Masci

Since Specialization
Citations

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