Massimo Garai

83 papers and 995 indexed citations i.

About

Massimo Garai is a scholar working on Speech and Hearing, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Massimo Garai has authored 83 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Speech and Hearing, 43 papers in Biomedical Engineering and 24 papers in Cognitive Neuroscience. Recurrent topics in Massimo Garai’s work include Noise Effects and Management (45 papers), Acoustic Wave Phenomena Research (42 papers) and Hearing Loss and Rehabilitation (24 papers). Massimo Garai is often cited by papers focused on Noise Effects and Management (45 papers), Acoustic Wave Phenomena Research (42 papers) and Hearing Loss and Rehabilitation (24 papers). Massimo Garai collaborates with scholars based in Italy, France and Germany. Massimo Garai's co-authors include Francesco Pompoli, Dario D’Orazio, Roberto Guidorzi, Luca Barbaresi, Cesare Biserni, Umberto Berardi, Marco Miniaci, Alessandro Marzani, Paolo Valdiserri and Luíz Alberto Oliveira Rocha and has published in prestigious journals such as The Journal of the Acoustical Society of America, Solar Energy and Energy and Buildings.

In The Last Decade

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

Fields of papers citing papers by Massimo Garai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Garai

Since Specialization
Citations

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