Matteo Coronese

477 total citations · 1 hit paper
10 papers, 300 citations indexed

About

Matteo Coronese is a scholar working on Global and Planetary Change, Sociology and Political Science and Soil Science. According to data from OpenAlex, Matteo Coronese has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 3 papers in Sociology and Political Science and 3 papers in Soil Science. Recurrent topics in Matteo Coronese's work include Agricultural risk and resilience (3 papers), Land Use and Ecosystem Services (3 papers) and Disaster Management and Resilience (2 papers). Matteo Coronese is often cited by papers focused on Agricultural risk and resilience (3 papers), Land Use and Ecosystem Services (3 papers) and Disaster Management and Resilience (2 papers). Matteo Coronese collaborates with scholars based in Italy, France and United States. Matteo Coronese's co-authors include Francesco Lamperti, Andrea Roventini, Francesca Chiaromonte and Klaus Keller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Climate Change and Journal of Environmental Economics and Management.

In The Last Decade

Matteo Coronese

8 papers receiving 288 citations

Hit Papers

Evidence for sharp increase in the economic damages of ex... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Coronese Italy 4 101 95 72 36 36 10 300
Achim Maas Germany 8 116 1.1× 107 1.1× 54 0.8× 12 0.3× 15 0.4× 12 289
María Eugenia Ibarrarán Mexico 8 66 0.7× 81 0.9× 92 1.3× 15 0.4× 38 1.1× 16 257
Aaron Strong United States 11 150 1.5× 95 1.0× 59 0.8× 21 0.6× 13 0.4× 33 394
Marcin Pawel Jarzebski Japan 10 106 1.0× 55 0.6× 49 0.7× 18 0.5× 18 0.5× 18 374
Andrés Alegría Germany 4 139 1.4× 76 0.8× 27 0.4× 31 0.9× 25 0.7× 8 281
Wiebke Lass Germany 5 123 1.2× 124 1.3× 60 0.8× 13 0.4× 14 0.4× 9 313
Nilufar Matin United Kingdom 9 81 0.8× 200 2.1× 60 0.8× 12 0.3× 14 0.4× 14 384
J. Pablo Ortiz‐Partida United States 13 197 2.0× 110 1.2× 50 0.7× 31 0.9× 25 0.7× 18 467
Rachel Cleetus United States 6 111 1.1× 86 0.9× 65 0.9× 15 0.4× 10 0.3× 11 284
Qazi Kholiquzzaman Ahmad Bangladesh 8 116 1.1× 114 1.2× 59 0.8× 20 0.6× 26 0.7× 27 342

Countries citing papers authored by Matteo Coronese

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Coronese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Coronese

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

All Works

10 of 10 papers shown
1.
Coronese, Matteo, et al.. (2024). Raided by the storm: How three decades of thunderstorms shaped U.S. incomes and wages. Journal of Environmental Economics and Management. 130. 103074–103074. 5 indexed citations
3.
Coronese, Matteo. (2024). Going beyond averages. Nature Climate Change. 14(6). 551–552. 2 indexed citations
4.
Coronese, Matteo, et al.. (2023). AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 9 indexed citations
5.
Coronese, Matteo, et al.. (2023). Raided by the storm: how three decades of thunderstorms shaped U.S. incomes and wages. SSRN Electronic Journal. 1 indexed citations
6.
Coronese, Matteo, et al.. (2022). Climate change and the nonlinear impact of precipitation anomalies on income inequality. Proceedings of the National Academy of Sciences. 119(43). e2203595119–e2203595119. 49 indexed citations
7.
Coronese, Matteo, et al.. (2022). Economic Impacts of Natural Hazards and Complexity Science: A Critical Review. SSRN Electronic Journal. 2 indexed citations
8.
Coronese, Matteo, et al.. (2021). AgriLOVE: agriculture, land-use and technical change in an evolutionary, agent-based model. SSRN Electronic Journal. 2 indexed citations
9.
Coronese, Matteo, Francesco Lamperti, Klaus Keller, Francesca Chiaromonte, & Andrea Roventini. (2019). Evidence for sharp increase in the economic damages of extreme natural disasters. Proceedings of the National Academy of Sciences. 116(43). 21450–21455. 228 indexed citations breakdown →
10.
Coronese, Matteo, Francesco Lamperti, Francesca Chiaromonte, & Andrea Roventini. (2018). Natural Disaster Risk and the Distributional Dynamics of Damages. SSRN Electronic Journal. 2 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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