Mauro Gaio

544 total citations
18 papers, 137 citations indexed

About

Mauro Gaio is a scholar working on Geography, Planning and Development, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Mauro Gaio has authored 18 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Geography, Planning and Development, 7 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Mauro Gaio's work include Geographic Information Systems Studies (12 papers), Data Management and Algorithms (7 papers) and Constraint Satisfaction and Optimization (5 papers). Mauro Gaio is often cited by papers focused on Geographic Information Systems Studies (12 papers), Data Management and Algorithms (7 papers) and Constraint Satisfaction and Optimization (5 papers). Mauro Gaio collaborates with scholars based in France, Switzerland and Italy. Mauro Gaio's co-authors include Dalia D’Amato, Elena Semenzin, Sébastien Mustière, Javier Nogueras-Iso, Christophe Claramunt, Ross S. Purves, Sylvain Béorchia, Yves‐François Le Lay and Thierry Joliveau and has published in prestigious journals such as The Science of The Total Environment, ISPRS International Journal of Geo-Information and Journal of Visual Languages & Computing.

In The Last Decade

Mauro Gaio

18 papers receiving 134 citations

Peers

Mauro Gaio
Comparison fields: 5 of 58
  • Geography, Planning and Development 49
  • Signal Processing 37
  • Artificial Intelligence 33
  • General Agricultural and Biological Sciences 26
  • Strategy and Management 25
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H.T. Uitermark Netherlands
Wilko Quak Netherlands
João P. Hespanha United States
Catherine Roussey France
Mohamed El-Mekawy Sweden
Waseem Ahmad Pakistan
Yue Deng China
Karel J. Kanský United States
David Medyckyj-Scott United Kingdom
Claúdia Robbi Sluter Brazil
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Citations per field, relative to Mauro Gaio
Mauro Gaio · 1×
Citations per year, relative to Mauro Gaio
Mauro Gaio · 1×

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).

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.

Co-authorship network of co-authors of Mauro Gaio

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Gaio. A scholar is included among the top collaborators of Mauro Gaio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mauro Gaio. Mauro Gaio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 5
2 4
3 66
4 2
5 5
6
Plateforme logicielle pour l'intégration et la composition de services géospatiaux
1
7
Appariement automatique de données hétérogènes: textes, traces GPS et ressources géographiques
2
8 1
9 23
10 1
11 1
12 1
13 4
14 2
15 8
16 2
17 8
18 1

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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2026