Andrea Storto

4.0k total citations
97 papers, 1.4k citations indexed

About

Andrea Storto is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Andrea Storto has authored 97 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Oceanography, 69 papers in Global and Planetary Change and 56 papers in Atmospheric Science. Recurrent topics in Andrea Storto's work include Oceanographic and Atmospheric Processes (71 papers), Climate variability and models (66 papers) and Meteorological Phenomena and Simulations (43 papers). Andrea Storto is often cited by papers focused on Oceanographic and Atmospheric Processes (71 papers), Climate variability and models (66 papers) and Meteorological Phenomena and Simulations (43 papers). Andrea Storto collaborates with scholars based in Italy, France and United Kingdom. Andrea Storto's co-authors include Simona Masina, Antonio Navarra, Srdjan Dobričić, Chunxue Yang, Roger Randriamampianina, Paolo Oddo, Andrea Cipollone, Doroteaciro Iovino, Magdalena Balmaseda and Keith Haines and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Geophysical Research Atmospheres.

In The Last Decade

Andrea Storto

88 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Storto Italy 21 1.1k 1.0k 888 56 53 97 1.4k
Fabrice Hernández France 18 1.3k 1.2× 879 0.8× 664 0.7× 45 0.8× 44 0.8× 42 1.5k
Viktor Gouretski Germany 15 1.1k 1.0× 955 0.9× 625 0.7× 88 1.6× 38 0.7× 35 1.4k
Bulusu Subrahmanyam United States 22 1.4k 1.3× 926 0.9× 835 0.9× 118 2.1× 63 1.2× 96 1.6k
Mounir Benkiran France 12 1.0k 0.9× 626 0.6× 567 0.6× 62 1.1× 35 0.7× 24 1.2k
Kentaro Ando Japan 18 1.3k 1.1× 1.0k 1.0× 650 0.7× 89 1.6× 45 0.8× 55 1.5k
Hao Zuo United Kingdom 17 1.0k 0.9× 1.4k 1.3× 1.2k 1.4× 45 0.8× 75 1.4× 42 1.9k
Brian Powell United States 22 1.3k 1.2× 861 0.8× 750 0.8× 162 2.9× 54 1.0× 62 1.5k
François Counillon Norway 25 792 0.7× 862 0.8× 1.1k 1.3× 50 0.9× 65 1.2× 65 1.5k
Jean‐Michel Lellouche France 19 1.0k 0.9× 697 0.7× 704 0.8× 81 1.4× 27 0.5× 41 1.3k

Countries citing papers authored by Andrea Storto

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Storto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Storto

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Storto. A scholar is included among the top collaborators of Andrea Storto 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 Andrea Storto. Andrea Storto 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.
Barnoud, Anne, Chunxue Yang, Andrea Storto, et al.. (2025). Regional sea level trend budget over 2004–2022. Ocean science. 21(4). 1425–1440.
2.
Bonaduce, Antonio, et al.. (2025). Exploiting Enhanced Altimetry for Constraining Mesoscale Variability in the Nordic Seas and Arctic Ocean. Remote Sensing. 17(4). 684–684.
3.
Ciani, Daniele, Chunxue Yang, Vincenzo Artale, et al.. (2024). Skin sea surface temperature schemes in coupled ocean–atmosphere modelling: the impact of chlorophyll-interactive e -folding depth. Geoscientific model development. 17(13). 5145–5165. 4 indexed citations
4.
Lea, Daniel J., James While, Matthew Martin, et al.. (2022). A new global ocean ensemble system at the Met Office: Assessing the impact of hybrid data assimilation and inflation settings. Quarterly Journal of the Royal Meteorological Society. 148(745). 1996–2030. 11 indexed citations
5.
Jackson, Laura, Clotilde Dubois, Gaël Forget, et al.. (2020). The mean state and variability of the North Atlantic circulation: a perspective from ocean reanalyses. 3 indexed citations
6.
Pimentel, Sam, et al.. (2019). Using canonical correlation analysis to produce dynamically based and highly efficient statistical observation operators. Ocean science. 15(4). 1023–1032. 8 indexed citations
7.
Κορρές, Γεράσιμος, et al.. (2019). Assimilation of SST data in the POSEIDON system using the SOSSTA statistical-dynamical observation operator. 1 indexed citations
8.
Palazov, Atanas, Giovanni Coppini, Stefania Angela Ciliberti, et al.. (2017). The Black Sea Monitoring and Forecasting Center (BS-MFC) in the framework of the Copernicus Marine Service. EGU General Assembly Conference Abstracts. 19. 15637. 1 indexed citations
9.
Wang, Zhaoyi, Andrea Storto, Nadia Pinardi, Guimei Liu, & Hui Wang. (2017). Data assimilation of Argo profiles in a northwestern Pacific model. Natural hazards and earth system sciences. 17(1). 17–30. 8 indexed citations
10.
11.
Clementi, Emanuela, Jenny Pistoia, Claudia Fratianni, et al.. (2017). Mediterranean Sea Physical Analysis and Forecast (CMEMS MED-Currents 2015-2017). Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 2 indexed citations
12.
Mari, Lorenzo, Luca Bonaventura, Andrea Storto, et al.. (2017). Understanding large-scale, long-term larval connectivity patterns: The case of the Northern Line Islands in the Central Pacific Ocean. PLoS ONE. 12(8). e0182681–e0182681. 8 indexed citations
13.
Desportes, Charles, Marie Drévillon, Yann Drillet, et al.. (2017). GREP: Evaluation of the Copernicus Marine Service Global Reanalysis Ensemble Product: deriving uncertainty estimates for 3D T and S variability in the ocean.. EGU General Assembly Conference Abstracts. 16232. 1 indexed citations
14.
Iovino, Doroteaciro, Simona Masina, Andrea Storto, Andrea Cipollone, & В. Н. Степанов. (2016). A 1/16° eddying simulation of the global NEMO sea-ice–ocean system. Geoscientific model development. 9(8). 2665–2684. 24 indexed citations
15.
Oddo, Paolo, Andrea Storto, Srdjan Dobričić, et al.. (2016). A hybrid variational-ensemble data assimilation scheme with systematic errorcorrection for limited-area ocean models. Ocean science. 12(5). 1137–1153. 17 indexed citations
16.
Storto, Andrea & Simona Masina. (2016). C-GLORSv5: an improved multipurpose global ocean eddy-permitting physical reanalysis. Earth system science data. 8(2). 679–696. 61 indexed citations
17.
Ciliberti, Stefania Angela, Elisaveta Peneva, Andrea Storto, et al.. (2016). Implementation of Black Sea numerical model based on NEMO and 3DVAR data assimilation scheme for operational forecasting. EGU General Assembly Conference Abstracts. 1 indexed citations
18.
Iovino, Doroteaciro, Andrea Storto, Simona Masina, Andrea Cipollone, & В. Н. Степанов. (2014). GLOB16, the CMCC global mesoscale-eddying ocean.. 3 indexed citations
19.
Storto, Andrea & Simona Masina. (2014). The CMCC Global Ocean Physical Reanalysis System (C-GLORS) version 3.1: configuration and basic validation.. 2 indexed citations
20.
Ferry, Nicolas, Gilles Garric, Bernard Barnier, et al.. (2013). MyOcean Eddy-Permitting Global Ocean Reanalysis Products: Description and Results. 710. 143. 3 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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