Massimo Magni

31 papers and 808 indexed citations i.

About

Massimo Magni is a scholar working on Communication, Social Psychology and Information Systems and Management. According to data from OpenAlex, Massimo Magni has authored 31 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Communication, 14 papers in Social Psychology and 12 papers in Information Systems and Management. Recurrent topics in Massimo Magni’s work include Knowledge Management and Sharing (17 papers), Team Dynamics and Performance (14 papers) and Technology Adoption and User Behaviour (12 papers). Massimo Magni is often cited by papers focused on Knowledge Management and Sharing (17 papers), Team Dynamics and Performance (14 papers) and Technology Adoption and User Behaviour (12 papers). Massimo Magni collaborates with scholars based in Italy, United States and China. Massimo Magni's co-authors include Likoebe M. Maruping, Luigi Proserpio, Corey M. Angst, M. Susan Taylor, Viswanath Venkatesh, Martin Hoegl, Ritu Agarwal, Manju Ahuja, Rossella Cappetta and Ritu Agarwal and has published in prestigious journals such as Research Policy, MIS Quarterly and Journal of Vocational Behavior.

In The Last Decade

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

Fields of papers citing papers by Massimo Magni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Magni

Since Specialization
Citations

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