Massimo Mangia

7 papers and 276 indexed citations i.

About

Massimo Mangia is a scholar working on Health Information Management, Organizational Behavior and Human Resource Management and Molecular Biology. According to data from OpenAlex, Massimo Mangia has authored 7 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health Information Management, 4 papers in Organizational Behavior and Human Resource Management and 2 papers in Molecular Biology. Recurrent topics in Massimo Mangia’s work include Electronic Health Records Systems (7 papers), Healthcare Systems and Technology (4 papers) and Machine Learning in Healthcare (2 papers). Massimo Mangia is often cited by papers focused on Electronic Health Records Systems (7 papers), Healthcare Systems and Technology (4 papers) and Machine Learning in Healthcare (2 papers). Massimo Mangia collaborates with scholars based in Italy, Canada and United Kingdom. Massimo Mangia's co-authors include Stefanos Bonovas, Lorenzo Moja, Francesca Ruggiero, Koren Hyogene Kwag, Ilkka Kunnamo, Lorenzo Bertizzolo, V.L. Pecoraro, Alberto Vaona, Linn Brandt and Theodore Lytras and has published in prestigious journals such as American Journal of Public Health, Implementation Science and JAMA Network Open.

In The Last Decade

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

Fields of papers citing papers by Massimo Mangia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Mangia

Since Specialization
Citations

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