Alessia Ferrari

504 total citations
18 papers, 391 citations indexed

About

Alessia Ferrari is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Alessia Ferrari has authored 18 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 8 papers in Atmospheric Science and 7 papers in Water Science and Technology. Recurrent topics in Alessia Ferrari's work include Flood Risk Assessment and Management (11 papers), Hydrology and Watershed Management Studies (7 papers) and Meteorological Phenomena and Simulations (5 papers). Alessia Ferrari is often cited by papers focused on Flood Risk Assessment and Management (11 papers), Hydrology and Watershed Management Studies (7 papers) and Meteorological Phenomena and Simulations (5 papers). Alessia Ferrari collaborates with scholars based in Italy, Netherlands and United Kingdom. Alessia Ferrari's co-authors include Renato Vacondio, Paolo Mignosa, Susanna Dazzi, Francesca Aureli, Alessandro Dal Palù, Daniele Pietro Viero, Andrea Defina, Maria Giovanna Tanda, Marco D’Oria and Luca Caricati and has published in prestigious journals such as Journal of Hydrology, Hydrology and earth system sciences and Advances in Water Resources.

In The Last Decade

Alessia Ferrari

17 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessia Ferrari Italy 9 307 199 176 62 57 18 391
D. Césari Italy 9 251 0.8× 246 1.2× 56 0.3× 5 0.1× 26 0.5× 18 364
Fabio Rossi Italy 4 291 0.9× 91 0.5× 134 0.8× 24 0.4× 2 0.0× 4 352
Hu Yinqiao China 11 271 0.9× 203 1.0× 34 0.2× 15 0.2× 32 0.6× 34 365
José C. Fernández‐Alvarez Spain 13 327 1.1× 285 1.4× 35 0.2× 11 0.2× 9 0.2× 52 422
David Fairbairn United Kingdom 11 375 1.2× 384 1.9× 88 0.5× 45 0.7× 9 0.2× 18 534
Albenis Pérez‐Alarcón Cuba 13 344 1.1× 305 1.5× 35 0.2× 9 0.1× 7 0.1× 52 436
Franck Mazas France 6 142 0.5× 157 0.8× 33 0.2× 11 0.2× 3 0.1× 17 298
Kwok Fai Cheung United States 9 106 0.3× 364 1.8× 10 0.1× 22 0.4× 14 0.2× 20 462
Mojtaba Sadeghi United States 10 339 1.1× 409 2.1× 81 0.5× 7 0.1× 21 0.4× 14 539
Ruifeng Yuan China 9 98 0.3× 162 0.8× 92 0.5× 2 0.0× 30 0.5× 27 314

Countries citing papers authored by Alessia Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Alessia Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessia Ferrari

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

All Works

18 of 18 papers shown
1.
Ferrari, Alessia, et al.. (2025). Brief communication: Hydrological and hydraulic investigation of the extreme September 2024 flood on the Lamone River in Emilia-Romagna, Italy. Natural hazards and earth system sciences. 25(7). 2473–2479. 1 indexed citations
2.
Ferrari, Alessia. (2024). A parallel porosity model for large-scale modelling of river floods in urban areas. Journal of Hydrology. 635. 131232–131232.
3.
Ferrari, Alessia, Renato Vacondio, & Paolo Mignosa. (2023). High-resolution 2D shallow water modelling of dam failure floods for emergency action plans. Journal of Hydrology. 618. 129192–129192. 27 indexed citations
4.
Owuamalam, Chuma Kevin, Luca Caricati, Russell Spears, et al.. (2022). Further evidence that system justification amongst the disadvantaged is positively related to superordinate group identification. Acta Psychologica. 232. 103813–103813. 8 indexed citations
5.
Ferrari, Alessia & Renato Vacondio. (2022). An augmented HLLEM ADER numerical model parallel on GPU for the porous Shallow Water Equations. Computers & Fluids. 238. 105360–105360. 5 indexed citations
6.
Ferrari, Alessia, Susanna Dazzi, Renato Vacondio, & Paolo Mignosa. (2020). Enhancing the resilience to flooding induced by levee breaches in lowland areas: a methodology based on numerical modelling. Natural hazards and earth system sciences. 20(1). 59–72. 40 indexed citations
7.
Ferrari, Alessia, Renato Vacondio, & Paolo Mignosa. (2020). A second-order numerical scheme for the porous shallow water equations based on a DOT ADER augmented Riemann solver. Advances in Water Resources. 140. 103587–103587. 9 indexed citations
8.
Aureli, Francesca, et al.. (2020). A GPU-Accelerated Shallow-Water Scheme for Surface Runoff Simulations. Water. 12(3). 637–637. 35 indexed citations
9.
Ferrari, Alessia & Daniele Pietro Viero. (2020). Floodwater pathways in urban areas: A method to compute porosity fields for anisotropic subgrid models in differential form. Journal of Hydrology. 589. 125193–125193. 27 indexed citations
10.
Ferrari, Alessia, Susanna Dazzi, Renato Vacondio, & Paolo Mignosa. (2019). A methodology based on numerical models for enhancing theresilience to flooding induced by levee breaches in lowland areas. 2 indexed citations
11.
Ferrari, Alessia, Daniele Pietro Viero, Renato Vacondio, Andrea Defina, & Paolo Mignosa. (2019). Flood inundation modeling in urbanized areas: A mesh-independent porosity approach with anisotropic friction. Advances in Water Resources. 125. 98–113. 43 indexed citations
12.
Ferrari, Alessia, Marco D’Oria, Renato Vacondio, et al.. (2018). Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model. Hydrology and earth system sciences. 22(10). 5299–5316. 8 indexed citations
13.
Mignosa, Paolo, et al.. (2018). HIGH RESOLUTION 2D MODELLING OF RAPIDLY VARYING FLOWS: SOME CASE STUDIES. 143–160. 4 indexed citations
14.
D’Oria, Marco, Alessia Ferrari, Paolo Mignosa, Maria Giovanna Tanda, & Renato Vacondio. (2017). Reverse Flow Routing in a Bayesian Framework Using a GPU-accelerated 2D Shallow Water Model. AGUFM. 2017. 1 indexed citations
15.
Ferrari, Alessia, Renato Vacondio, Susanna Dazzi, & Paolo Mignosa. (2017). A 1D–2D Shallow Water Equations solver for discontinuous porosity field based on a Generalized Riemann Problem. Advances in Water Resources. 107. 233–249. 23 indexed citations
16.
Vacondio, Renato, Alessandro Dal Palù, Alessia Ferrari, et al.. (2016). A non-uniform efficient grid type for GPU-parallel Shallow Water Equations models. Environmental Modelling & Software. 88. 119–137. 86 indexed citations
17.
Vacondio, Renato, et al.. (2016). Efficient non-uniform grid for GPU-parallel Shallow Water Equations models. 2004. 281–288. 3 indexed citations
18.
Vacondio, Renato, Francesca Aureli, Alessia Ferrari, Paolo Mignosa, & Alessandro Dal Palù. (2015). Simulation of the January 2014 flood on the Secchia River using a fast and high-resolution 2D parallel shallow-water numerical scheme. Natural Hazards. 80(1). 103–125. 69 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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