Matteo Sangiorgio
- Water Science and Technology top 10%
- Artificial Intelligence top 10%
- Ocean Engineering top 5%
- Electrical and Electronic Engineering
- Global and Planetary Change
- Co-authors
- Fabio DercoleGiorgio GuarisoLorenzo RosaMaria Cristina RulliDavide Danilo ChiarelliAreidy Aracely Beltran-PeñaPaolo D’OdoricoInez Fung
- Topics
- Water resources management and optimization (6 papers)Water-Energy-Food Nexus Studies (5 papers)Neural Networks and Applications (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Matteo Sangiorgio
25 papers receiving 559 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Water Science and Technology 147
- Artificial Intelligence 141
- Ocean Engineering 114
- Electrical and Electronic Engineering 86
- Global and Planetary Change 83
Countries citing papers authored by Matteo Sangiorgio
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Global water gaps under future warming levelsbreakdown → | 42 |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 46 | |
| 11 | 9 | |
| 12 | Spanning the Pareto Frontier of Environmental Problems | 1 |
| 13 | 25 | |
| 14 | 156 | |
| 15 | 7 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | Improved extreme rainfall events forecasting using neural networks and water vapor measures | 17 |
| 19 | 6 | |
| 20 | 30 |
About Matteo Sangiorgio
Matteo Sangiorgio is a scholar working on Ocean Engineering, Water Science and Technology and Environmental Engineering, having authored 28 papers that have together received 575 indexed citations. Recurring topics across this work include Water resources management and optimization (6 papers), Water-Energy-Food Nexus Studies (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Water Science and Technology (147 citations), Ocean Engineering (114 citations) and Statistical and Nonlinear Physics (69 citations). Matteo Sangiorgio has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Fabio Dercole, Giorgio Guariso, Lorenzo Rosa, Maria Cristina Rulli, Davide Danilo Chiarelli, Areidy Aracely Beltran-Peña, Paolo D’Odorico, Inez Fung, G. Nunnari and Stefano Barindelli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.