Alessia Ferrari
- Global and Planetary Change top 5%
- Atmospheric Science top 10%
- Water Science and Technology top 5%
- Civil and Structural Engineering
- Computational Mechanics
- Co-authors
- Renato VacondioPaolo MignosaSusanna DazziFrancesca AureliAlessandro Dal PalùDaniele Pietro VieroAndrea DefinaMaria Giovanna Tanda
- Topics
- Flood Risk Assessment and Management (11 papers)Hydrology and Watershed Management Studies (7 papers)Meteorological Phenomena and Simulations (5 papers)
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Alessia Ferrari
17 papers receiving 386 citations
Peers
Comparison fields: 5 of 45
- Global and Planetary Change 307
- Atmospheric Science 199
- Water Science and Technology 176
- Civil and Structural Engineering 62
- Computational Mechanics 57
Countries citing papers authored by Alessia Ferrari
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 27 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 40 | |
| 7 | 9 | |
| 8 | 27 | |
| 9 | 35 | |
| 10 | 2 | |
| 11 | 43 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | Reverse Flow Routing in a Bayesian Framework Using a GPU-accelerated 2D Shallow Water Model | 1 |
| 15 | 23 | |
| 16 | 3 | |
| 17 | 86 | |
| 18 | 69 |
About Alessia Ferrari
Alessia Ferrari is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science, having authored 18 papers that have together received 391 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (11 papers), Hydrology and Watershed Management Studies (7 papers) and Meteorological Phenomena and Simulations (5 papers). The work is most often cited by research in Global and Planetary Change (307 citations), Water Science and Technology (176 citations) and Atmospheric Science (199 citations). Alessia Ferrari has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent 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 Russell Spears. Their work appears in journals such as Journal of Hydrology, Hydrology and earth system sciences and Advances in Water Resources.
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.