Massimo Loi

7 papers and 486 indexed citations i.

About

Massimo Loi is a scholar working on Education, Gender Studies and Information Systems. According to data from OpenAlex, Massimo Loi has authored 7 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Education, 4 papers in Gender Studies and 3 papers in Information Systems. Recurrent topics in Massimo Loi’s work include Gender and Technology in Education (4 papers), Digital literacy in education (3 papers) and Child Development and Digital Technology (2 papers). Massimo Loi is often cited by papers focused on Gender and Technology in Education (4 papers), Digital literacy in education (3 papers) and Child Development and Digital Technology (2 papers). Massimo Loi collaborates with scholars based in Norway and Italy. Massimo Loi's co-authors include Ove Edvard Hatlevik, Gréta Björk Guðmundsdóttir, Inger Throndsen, Federico Biagi, Michela Nardo and Roberto Antonietti and has published in prestigious journals such as Computers & Education, European Journal of Education and Journal of Information Technology Education Research.

In The Last Decade

Co-authorship network of co-authors of Massimo Loi i

Fields of papers citing papers by Massimo Loi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Loi

Since Specialization
Citations

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