Mauro Gaio

15 papers and 106 indexed citations i.

About

Mauro Gaio is a scholar working on Geography, Planning and Development, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mauro Gaio has authored 15 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Geography, Planning and Development, 7 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Mauro Gaio’s work include Geographic Information Systems Studies (8 papers), Data Management and Algorithms (5 papers) and Distributed Constraint Optimization Problems and Algorithms (4 papers). Mauro Gaio is often cited by papers focused on Geographic Information Systems Studies (8 papers), Data Management and Algorithms (5 papers) and Distributed Constraint Optimization Problems and Algorithms (4 papers). Mauro Gaio collaborates with scholars based in France, Finland and Italy. Mauro Gaio's co-authors include Dalia D’Amato, Elena Semenzin, Sébastien Mustière, Javier Nogueras-Iso, Christophe Claramunt, Patrice Enjalbert, Ross S. Purves, Yves‐François Le Lay, Sylvain Béorchia and Thierry Joliveau and has published in prestigious journals such as The Science of The Total Environment, International Journal of Geographical Information Science and ISPRS International Journal of Geo-Information.

In The Last Decade

Co-authorship network of co-authors of Mauro Gaio i

Fields of papers citing papers by Mauro Gaio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mauro Gaio

Since Specialization
Citations

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