Roberto Bentivoglio
- Global and Planetary Change top 10%
- Water Science and Technology top 10%
- Environmental Engineering top 10%
- Atmospheric Science top 10%
- Artificial Intelligence
- Co-authors
- Riccardo TaorminaElvin IsufiSebastiaan N. JonkmanMarcus N. GomesEduardo Mário MendiondoMarcio H. GiacomoniCésar Ambrogi Ferreira do LagoStefano Sibilla
- Topics
- Flood Risk Assessment and Management (6 papers)Hydrological Forecasting Using AI (4 papers)Hydrology and Watershed Management Studies (3 papers)
- Journals
- Journal of HydrologyHydrology and earth system sciencesNatural hazards and earth system sciences
- Partner nations
- NetherlandsUnited StatesItaly
In The Last Decade
Roberto Bentivoglio
9 papers receiving 289 citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Global and Planetary Change 240
- Water Science and Technology 138
- Environmental Engineering 135
- Atmospheric Science 106
- Artificial Intelligence 34
Countries citing papers authored by Roberto Bentivoglio
This map shows the geographic impact of Roberto Bentivoglio'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 Roberto Bentivoglio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Bentivoglio more than expected).
Fields of papers citing papers by Roberto Bentivoglio
This network shows the impact of papers produced by Roberto Bentivoglio. 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 Roberto Bentivoglio. The network helps show where Roberto Bentivoglio may publish in the future.
Co-authorship network of co-authors of Roberto Bentivoglio
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Bentivoglio. A scholar is included among the top collaborators of Roberto Bentivoglio 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 Roberto Bentivoglio. Roberto Bentivoglio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 26 | |
| 4 | 42 | |
| 5 | 10 | |
| 6 | Deep learning methods for flood mapping: a review of existing applications and future research directionsbreakdown → | 191 |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 6 |
About Roberto Bentivoglio
Roberto Bentivoglio is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology, having authored 9 papers that have together received 305 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (6 papers), Hydrological Forecasting Using AI (4 papers) and Hydrology and Watershed Management Studies (3 papers). The work is most often cited by research in Global and Planetary Change (240 citations), Water Science and Technology (138 citations) and Environmental Engineering (135 citations). Roberto Bentivoglio has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Riccardo Taormina, Elvin Isufi, Sebastiaan N. Jonkman, Marcus N. Gomes, Eduardo Mário Mendiondo, Marcio H. Giacomoni, César Ambrogi Ferreira do Lago, Stefano Sibilla, Franz Tscheikner-Gratl and David Steffelbauer. Their work appears in journals such as Journal of Hydrology, Hydrology and earth system sciences and Natural hazards and earth system sciences.
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.