Matteo Sangiorgio

967 total citations · 1 hit paper
28 papers, 575 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 575 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 Australia. Matteo Sangiorgio's co-authors include Fabio Dercole, Giorgio Guariso, Lorenzo Rosa, Paolo D’Odorico, Inez Fung, Maria Cristina Rulli, Davide Danilo Chiarelli, Areidy Aracely Beltran-Peña, 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 559 citations

Hit Papers

Global water gaps under f... 2025 2026 2025 10 20 30 40

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matteo Sangiorgio Italy 10 147 141 114 86 83 28 575
Shaoming Xu United States 8 78 0.5× 110 0.8× 41 0.4× 49 0.6× 91 1.1× 13 677
Pei Li China 14 187 1.3× 78 0.6× 93 0.8× 78 0.9× 485 5.8× 61 974
Hosein Alizadeh Iran 16 181 1.2× 331 2.3× 175 1.5× 28 0.3× 82 1.0× 49 720
Do Guen Yoo South Korea 18 147 1.0× 122 0.9× 185 1.6× 111 1.3× 103 1.2× 88 907
Shaohua Xu China 11 42 0.3× 204 1.4× 11 0.1× 48 0.6× 55 0.7× 41 705
Dheeraj Kumar India 13 54 0.4× 199 1.4× 20 0.2× 36 0.4× 59 0.7× 52 524
Guillermo Barrenetxea Switzerland 13 176 1.2× 90 0.6× 58 0.5× 356 4.1× 101 1.2× 28 1.1k
Roozbeh Moazenzadeh Iran 11 248 1.7× 138 1.0× 46 0.4× 95 1.1× 259 3.1× 15 707
Yuelong Zhu China 14 236 1.6× 174 1.2× 37 0.3× 101 1.2× 300 3.6× 57 824
Yuanhong Liu China 14 84 0.6× 66 0.5× 59 0.5× 69 0.8× 88 1.1× 54 523

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

20 of 20 papers shown
1.
Sangiorgio, Matteo & Giorgio Guariso. (2025). Local vs regional neural air pollution forecasting models. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 31. 100298–100298.
2.
Rosa, Lorenzo, Paolo Gabrielli, & Matteo Sangiorgio. (2025). Global energy, costs, and emissions from reverse osmosis desalination under future water scarcity. Water Research. 289. 124825–124825.
3.
Rosa, Lorenzo & Matteo Sangiorgio. (2025). Global water gaps under future warming levels. Nature Communications. 16(1). 1192–1192. 42 indexed citations breakdown →
4.
Sangiorgio, Matteo, et al.. (2025). Global multi-model trends of unsustainable irrigation under climate change scenarios. Environmental Research Letters. 20(10). 104011–104011. 3 indexed citations
5.
Sangiorgio, Matteo, et al.. (2025). Potential of wastewater reuse to alleviate water scarcity under future warming scenarios. Environmental Research Letters. 20(3). 34012–34012. 5 indexed citations
6.
Sangiorgio, Matteo & Giorgio Guariso. (2024). Transfer learning in environmental data-driven models: A study of ozone forecast in the Alpine region. Environmental Modelling & Software. 177. 106048–106048. 5 indexed citations
7.
Sangiorgio, Matteo, et al.. (2024). Solving the robustness puzzle: The joint impact of optimization approach, robustness metrics, and scenarios on water resources management under deep uncertainty. Journal of Environmental Management. 373. 123540–123540. 4 indexed citations
8.
Sangiorgio, Matteo, et al.. (2022). Surrogate modeling for water reuse planning in complex water systems*. IFAC-PapersOnLine. 55(33). 111–116. 3 indexed citations
9.
Sangiorgio, Matteo, Fabio Dercole, & Giorgio Guariso. (2021). Forecasting of noisy chaotic systems with deep neural networks. Chaos Solitons & Fractals. 153. 111570–111570. 46 indexed citations
10.
Sangiorgio, Matteo, Fabio Dercole, & Giorgio Guariso. (2021). Sensitivity of Chaotic Dynamics Prediction to Observation Noise. IFAC-PapersOnLine. 54(17). 129–134. 1 indexed citations
11.
Sangiorgio, Matteo, Fabio Dercole, & Giorgio Guariso. (2021). Deep Learning in Multi-step Prediction of Chaotic Dynamics. SpringerBriefs in applied sciences and technology. 9 indexed citations
12.
Guariso, Giorgio & Matteo Sangiorgio. (2020). Spanning the Pareto Frontier of Environmental Problems. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 87–87. 1 indexed citations
13.
Guariso, Giorgio & Matteo Sangiorgio. (2020). Improving the Performance of Multiobjective Genetic Algorithms: An Elitism-Based Approach. Information. 11(12). 587–587. 25 indexed citations
14.
Sangiorgio, Matteo & Stefano Barindelli. (2020). Spatio-Temporal Analysis of Intense Convective Storms Tracks in a Densely Urbanized Italian Basin. ISPRS International Journal of Geo-Information. 9(3). 183–183. 7 indexed citations
15.
Guariso, Giorgio, G. Nunnari, & Matteo Sangiorgio. (2020). Multi-Step Solar Irradiance Forecasting and Domain Adaptation of Deep Neural Networks. Energies. 13(15). 3987–3987. 27 indexed citations
16.
Rosa, Lorenzo, Davide Danilo Chiarelli, Matteo Sangiorgio, et al.. (2020). Potential for sustainable irrigation expansion in a 3 °C warmer climate. Proceedings of the National Academy of Sciences. 117(47). 29526–29534. 156 indexed citations
17.
Sangiorgio, Matteo, et al.. (2019). Reconstruction of long-distance bird migration routes using advanced machine learning techniques on geolocator data. Journal of The Royal Society Interface. 16(155). 20190031–20190031. 5 indexed citations
18.
Guariso, Giorgio & Matteo Sangiorgio. (2019). Multi-objective planning of building stock renovation. Energy Policy. 130. 101–110. 11 indexed citations
19.
Guariso, Giorgio & Matteo Sangiorgio. (2018). Integrating Economy, Energy, Air Pollution in Building Renovation Plans. IFAC-PapersOnLine. 51(5). 102–107. 6 indexed citations
20.
Sangiorgio, Matteo & Giorgio Guariso. (2018). NN-Based Implicit Stochastic Optimization of Multi-Reservoir Systems Management. Water. 10(3). 303–303. 30 indexed citations

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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