Paolo Mignosa
- Computational Mechanics top 1%
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Civil and Structural Engineering top 2%
- Water Science and Technology top 2%
- Co-authors
- Renato VacondioFrancesca AureliSusanna DazziAndrea MaranzoniBenedict D. RogersPeter StansbyAlessandro Dal PalùAlessia Ferrari
- Topics
- Flood Risk Assessment and Management (25 papers)Hydrology and Watershed Management Studies (17 papers)Computational Fluid Dynamics and Aerodynamics (15 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Paolo Mignosa
54 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 66
- Computational Mechanics 840
- Global and Planetary Change 753
- Atmospheric Science 503
- Civil and Structural Engineering 493
- Water Science and Technology 430
Countries citing papers authored by Paolo Mignosa
This map shows the geographic impact of Paolo Mignosa'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 Paolo Mignosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Mignosa more than expected).
Fields of papers citing papers by Paolo Mignosa
This network shows the impact of papers produced by Paolo Mignosa. 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 Paolo Mignosa. The network helps show where Paolo Mignosa may publish in the future.
Co-authorship network of co-authors of Paolo Mignosa
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Mignosa. A scholar is included among the top collaborators of Paolo Mignosa 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 Paolo Mignosa. Paolo Mignosa 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 | 3 | |
| 3 | 0 | |
| 4 | 27 | |
| 5 | 5 | |
| 6 | 40 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | Reverse Flow Routing in a Bayesian Framework Using a GPU-accelerated 2D Shallow Water Model | 1 |
| 11 | 38 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 80 | |
| 15 | 1 | |
| 16 | 19 | |
| 17 | 21 | |
| 18 | 20 | |
| 19 | 52 | |
| 20 | 3 |
About Paolo Mignosa
Paolo Mignosa is a scholar working on Water Science and Technology, Global and Planetary Change and Computational Mechanics, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (25 papers), Hydrology and Watershed Management Studies (17 papers) and Computational Fluid Dynamics and Aerodynamics (15 papers). The work is most often cited by research in Computational Mechanics (840 citations), Global and Planetary Change (753 citations) and Water Science and Technology (430 citations). Paolo Mignosa has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Renato Vacondio, Francesca Aureli, Susanna Dazzi, Andrea Maranzoni, Benedict D. Rogers, Peter Stansby, Alessandro Dal Palù, Alessia Ferrari, Massimo Tomirotti and Jack L. Feldman. Their work appears in journals such as The Science of The Total Environment, Water Resources Research and Journal of Hydrology.
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.