Maria Di Blasi

49 papers and 962 indexed citations i.

About

Maria Di Blasi is a scholar working on Clinical Psychology, Sociology and Political Science and Experimental and Cognitive Psychology. According to data from OpenAlex, Maria Di Blasi has authored 49 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Clinical Psychology, 21 papers in Sociology and Political Science and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Maria Di Blasi’s work include Impact of Technology on Adolescents (15 papers), COVID-19 and Mental Health (8 papers) and Child Development and Digital Technology (7 papers). Maria Di Blasi is often cited by papers focused on Impact of Technology on Adolescents (15 papers), COVID-19 and Mental Health (8 papers) and Child Development and Digital Technology (7 papers). Maria Di Blasi collaborates with scholars based in Italy, United States and Switzerland. Maria Di Blasi's co-authors include Cecilia Giordano, Gianluca Lo Coco, Barbara Caci, Antonella D’Amico, Giovanni Ferraro, Adriano Schimmenti, Alessandro Giardina, Joël Billieux, Crispino Tosto and Laura Salerno and has published in prestigious journals such as Scientific Reports, Annals of Oncology and Annals of the Rheumatic Diseases.

In The Last Decade

Co-authorship network of co-authors of Maria Di Blasi i

Fields of papers citing papers by Maria Di Blasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Di Blasi

Since Specialization
Citations

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