Silvio Davolio

4.2k total citations · 1 hit paper
76 papers, 1.8k citations indexed

About

Silvio Davolio is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Silvio Davolio has authored 76 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Atmospheric Science, 54 papers in Global and Planetary Change and 14 papers in Oceanography. Recurrent topics in Silvio Davolio's work include Meteorological Phenomena and Simulations (57 papers), Climate variability and models (44 papers) and Tropical and Extratropical Cyclones Research (36 papers). Silvio Davolio is often cited by papers focused on Meteorological Phenomena and Simulations (57 papers), Climate variability and models (44 papers) and Tropical and Extratropical Cyclones Research (36 papers). Silvio Davolio collaborates with scholars based in Italy, France and Spain. Silvio Davolio's co-authors include A. Buzzi, P. Malguzzi, Mario Marcello Miglietta, Oxana Drofa, Paolo Stocchi, Francesco Silvestro, Daniele Mastrangelo, Massimo D’Isidoro, Christian Ferrarin and A. Moscatello and has published in prestigious journals such as Scientific Reports, Journal of Hydrology and Journal of the Atmospheric Sciences.

In The Last Decade

Silvio Davolio

69 papers receiving 1.8k citations

Hit Papers

Mediterranean cyclones: current knowledge and open questi... 2022 2026 2023 2024 2022 25 50 75 100

Peers

Silvio Davolio
Silvio Davolio
Citations per year, relative to Silvio Davolio Silvio Davolio (= 1×) peers Γεράσιμος Κορρές

Countries citing papers authored by Silvio Davolio

Since Specialization
Citations

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

Fields of papers citing papers by Silvio Davolio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvio Davolio

This figure shows the co-authorship network connecting the top 25 collaborators of Silvio Davolio. A scholar is included among the top collaborators of Silvio Davolio 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 Silvio Davolio. Silvio Davolio 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.
Flaounas, Emmanouil, Stavros Dafis, Silvio Davolio, et al.. (2025). Dynamics, predictability, impacts and climate change considerations of the catastrophic Mediterranean Storm Daniel (2023). Weather and Climate Dynamics. 6(4). 1515–1538.
2.
Kushta, Jonilda, Jennifer L. Catto, Stavros Dafis, et al.. (2025). Mediterranean Cyclones in a Changing Climate: A Review on Their Socio‐Economic Impacts. Reviews of Geophysics. 63(2). 4 indexed citations
3.
Zapperi, Stefano, et al.. (2025). Improving localized weather predictions for precision agriculture: A Time-Series Mixer approach for hazardous event detection. Environmental Modelling & Software. 191. 106509–106509.
4.
Ricchi, Antonio, Rossella Ferretti, Gabriele Curci, et al.. (2024). A high‐resolution climatological study of explosive cyclones in the Mediterranean region: Frequency, intensity and synoptic drivers. Quarterly Journal of the Royal Meteorological Society. 150(765). 5561–5582. 1 indexed citations
5.
Sánchez, Claudio, Suzanne L. Gray, Ambrogio Volonté, et al.. (2024). The impact of preceding convection on the development of Medicane Ianos and the sensitivity to sea surface temperature. Weather and Climate Dynamics. 5(4). 1429–1455. 5 indexed citations
6.
Pantillon, Florian, Silvio Davolio, Elenio Avolio, et al.. (2024). The crucial representation of deep convection for the cyclogenesis of Medicane Ianos. Weather and Climate Dynamics. 5(3). 1187–1205. 9 indexed citations
7.
Ferrarin, Christian, Mirko Orlić, Marco Bajo, et al.. (2023). The contribution of a mesoscale cyclone and associated meteotsunami to the exceptional flood in Venice on November 12, 2019. Quarterly Journal of the Royal Meteorological Society. 149(756). 2929–2942. 8 indexed citations
8.
Giorgi, Filippo, Erika Coppola, Graziano Giuliani, et al.. (2023). The Fifth Generation Regional Climate Modeling System, RegCM5: Description and Illustrative Examples at Parameterized Convection and Convection‐Permitting Resolutions. Journal of Geophysical Research Atmospheres. 128(6). 23 indexed citations
9.
Miglietta, Mario Marcello, Stavros Dafis, Alvise Papa, et al.. (2023). A high‐impact meso‐beta vortex in the Adriatic Sea. Quarterly Journal of the Royal Meteorological Society. 149(751). 637–656. 4 indexed citations
10.
Flaounas, Emmanouil, Silvio Davolio, Shira Raveh‐Rubin, et al.. (2022). Mediterranean cyclones: current knowledge and open questions on dynamics, prediction, climatology and impacts. Weather and Climate Dynamics. 3(1). 173–208. 118 indexed citations breakdown →
11.
Miglietta, Mario Marcello & Silvio Davolio. (2022). Dynamical forcings in heavy precipitation events over Italy: lessons from the HyMeX SOP1 campaign. Hydrology and earth system sciences. 26(3). 627–646. 17 indexed citations
13.
Davolio, Silvio, Paolo Di Girolamo, Cindy Lebeaupin Brossier, et al.. (2021). Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX. Atmospheric chemistry and physics. 21(22). 17051–17078. 22 indexed citations
14.
Ferrarin, Christian, Marco Bajo, Francesco Barbariol, et al.. (2020). Local and large-scale controls of the exceptional Venice floods of November 2019. CNR ExploRA. 1 indexed citations
15.
Davolio, Silvio, P. Malguzzi, Oxana Drofa, Daniele Mastrangelo, & A. Buzzi. (2020). The Piedmont flood of November 1994: a testbed of forecasting capabilities of the CNR-ISAC meteorological model suite. PubMed. 1(3-4). 263–282. 22 indexed citations
16.
Ferrarin, Christian, Silvio Davolio, Debora Bellafiore, et al.. (2019). Cross-scale operational oceanography in the Adriatic Sea. Journal of Operational Oceanography. 12(2). 86–103. 39 indexed citations
17.
Silvestro, Francesco, et al.. (2019). Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts. Hydrology and earth system sciences. 23(9). 3823–3841. 36 indexed citations
18.
Davolio, Silvio, Rossella Ferretti, Luca Baldini, et al.. (2015). The role of the Italian scientific community in the first HyMeX SOP: an outstanding multidisciplinary experience. Meteorologische Zeitschrift. 24(3). 261–267. 13 indexed citations
19.
Buzzi, A., Silvio Davolio, P. Malguzzi, Oxana Drofa, & Daniele Mastrangelo. (2014). Heavy rainfall episodes over Liguria in autumn 2011: numerical forecasting experiments. Natural hazards and earth system sciences. 14(5). 1325–1340. 113 indexed citations
20.
Davolio, Silvio, et al.. (2013). A flood episode in northern Italy: multi-model and single-model mesoscale meteorological ensembles for hydrological predictions. Hydrology and earth system sciences. 17(6). 2107–2120. 25 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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