G. Masi

58 papers and 1.1k indexed citations i.

About

G. Masi is a scholar working on Computer Vision and Pattern Recognition, Economics and Econometrics and Ocean Engineering. According to data from OpenAlex, G. Masi has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 13 papers in Economics and Econometrics and 12 papers in Ocean Engineering. Recurrent topics in G. Masi’s work include Underwater Vehicles and Communication Systems (11 papers), Complex Network Analysis Techniques (10 papers) and Complex Systems and Time Series Analysis (10 papers). G. Masi is often cited by papers focused on Underwater Vehicles and Communication Systems (11 papers), Complex Network Analysis Techniques (10 papers) and Complex Systems and Time Series Analysis (10 papers). G. Masi collaborates with scholars based in United Arab Emirates, Italy and Canada. G. Masi's co-authors include Giulia Iori, Guido Caldarelli, Giampaolo Gabbi, Ovidiu V. Precup, Mauro Gallegati, Eliseo Ferrante, E. García‐Melendo, F. Mallia, C. N. Foote and Jeff A. Valenti and has published in prestigious journals such as The Astrophysical Journal, Applied Physics Letters and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of G. Masi i

Fields of papers citing papers by G. Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Masi

Since Specialization
Citations

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