Matteo Sangiorgio

75 total papers · 939 total citations
28 papers, 550 citations indexed

About

Matteo Sangiorgio is a scholar working on Artificial Intelligence, Ocean Engineering and Environmental Engineering. According to data from OpenAlex, Matteo Sangiorgio has authored 28 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Ocean Engineering and 5 papers in Environmental Engineering. Recurrent topics in Matteo Sangiorgio's work include Water resources management and optimization (6 papers), Water-Energy-Food Nexus Studies (5 papers) and Neural Networks and Applications (5 papers). Matteo Sangiorgio is often cited by papers focused on Water resources management and optimization (6 papers), Water-Energy-Food Nexus Studies (5 papers) and Neural Networks and Applications (5 papers). Matteo Sangiorgio collaborates with scholars based in Italy, United States and Switzerland. Matteo Sangiorgio's co-authors include Fabio Dercole, Giorgio Guariso, Lorenzo Rosa, Davide Danilo Chiarelli, Areidy Aracely Beltran-Peña, Maria Cristina Rulli, Inez Fung, Paolo D’Odorico, G. Nunnari and Stefano Barindelli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Matteo Sangiorgio

25 papers receiving 538 citations

Hit Papers

Global water gaps under f... 2025 2026 2025 10 20 30

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matteo Sangiorgio 140 138 111 85 82 28 550
Dheeraj Kumar 54 0.4× 195 1.4× 19 0.2× 34 0.4× 59 0.7× 50 517
Mirkamal Mirnia 55 0.4× 78 0.6× 10 0.1× 52 0.6× 135 1.6× 35 501
Yuanhong Liu 82 0.6× 65 0.5× 59 0.5× 67 0.8× 85 1.0× 54 507
Kasım Koçak 66 0.5× 68 0.5× 16 0.1× 107 1.3× 185 2.3× 23 499
Slavco Velickov 210 1.5× 80 0.6× 31 0.3× 75 0.9× 146 1.8× 9 611
Shuai Huang 36 0.3× 53 0.4× 58 0.5× 40 0.5× 84 1.0× 42 544
Baohui Men 225 1.6× 47 0.3× 82 0.7× 140 1.6× 126 1.5× 47 608
Chiara Mocenni 67 0.5× 29 0.2× 54 0.5× 27 0.3× 45 0.5× 65 585
Kamran Aziz 121 0.9× 139 1.0× 16 0.1× 51 0.6× 163 2.0× 20 552
Monidipa Das 35 0.3× 122 0.9× 35 0.3× 71 0.8× 111 1.4× 51 547

Countries citing papers authored by Matteo Sangiorgio

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Sangiorgio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Sangiorgio

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Sangiorgio. A scholar is included among the top collaborators of Matteo Sangiorgio 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 Matteo Sangiorgio. Matteo Sangiorgio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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