Roberto Rudari

3.2k total citations · 1 hit paper
64 papers, 2.2k citations indexed

About

Roberto Rudari is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Roberto Rudari has authored 64 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Global and Planetary Change, 32 papers in Water Science and Technology and 28 papers in Atmospheric Science. Recurrent topics in Roberto Rudari's work include Flood Risk Assessment and Management (35 papers), Hydrology and Watershed Management Studies (32 papers) and Hydrology and Drought Analysis (14 papers). Roberto Rudari is often cited by papers focused on Flood Risk Assessment and Management (35 papers), Hydrology and Watershed Management Studies (32 papers) and Hydrology and Drought Analysis (14 papers). Roberto Rudari collaborates with scholars based in Italy, United Kingdom and United States. Roberto Rudari's co-authors include Giorgio Boni, Giorgio Roth, Simone Gabellani, Francesco Silvestro, Luca Ferraris, F. Giannoni, F. Siccardi, Lauro Rossi, Antonio Parodi and Franco Delogu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Proceedings of the IEEE.

In The Last Decade

Roberto Rudari

63 papers receiving 2.1k citations

Hit Papers

A multi-hazard framework for spatial-temporal impact anal... 2022 2026 2023 2024 2022 40 80 120

Peers

Roberto Rudari
Roberto Rudari
Citations per year, relative to Roberto Rudari Roberto Rudari (= 1×) peers Giuseppe Tito Aronica

Countries citing papers authored by Roberto Rudari

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Rudari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Rudari

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Rudari. A scholar is included among the top collaborators of Roberto Rudari 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 Rudari. Roberto Rudari 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.
Lüthi, Samuel, David N. Bresch, Daria Ottonelli, et al.. (2025). A natural hazard risk modelling approach to human displacement - frontiers & challenges. Environmental Research Climate. 4(4). 45001–45001.
2.
Alfieri, Lorenzo, Andrea Libertino, Lorenzo Campo, et al.. (2024). Impact-based flood forecasting in the Greater Horn of Africa. Natural hazards and earth system sciences. 24(1). 199–224. 8 indexed citations
3.
Salamon, Peter, Roberto Rudari, Andrew Kruczkiewicz, et al.. (2017). The Global Flood Partnership Conference 2017 - From hazards to impacts. Joint Research Centre (European Commission). 1 indexed citations
4.
Rossi, Lauro & Roberto Rudari. (2016). RASOR Project: Rapid Analysis and Spatialisation of Risk, from Hazard to Risk using EO data. EGUGA. 1 indexed citations
5.
Silvestro, Francesco, Nicola Rebora, Lauro Rossi, et al.. (2016). What if the 25 October 2011 event that struck Cinque Terre (Liguria)had happened in Genoa, Italy? Flooding scenarios, hazard mapping anddamage estimation. Natural hazards and earth system sciences. 16(8). 1737–1753. 23 indexed citations
6.
Trigg, Mark A., Cathryn E. Birch, Jeffrey Neal, et al.. (2016). The credibility challenge for global fluvial flood risk analysis. Environmental Research Letters. 11(9). 94014–94014. 149 indexed citations
7.
Rudari, Roberto, Joost Beckers, Silvia De Angeli, Lauro Rossi, & Eva Trasforini. (2016). Impact of modelling scale on probabilistic flood risk assessment: the Malawi case. SHILAP Revista de lepidopterología. 7. 4015–4015. 9 indexed citations
8.
Trasforini, Eva, et al.. (2015). Use of crowd source, Open Data and EO-based information in flood damage assessment: the 2014 urban flood in Genoa.. EGU General Assembly Conference Abstracts. 11756. 3 indexed citations
9.
Rudari, Roberto. (2015). RASOR Project: Rapid Analysis and Spatialisation of Risk, from Hazard to Risk using EO data. EGU General Assembly Conference Abstracts. 2538. 1 indexed citations
10.
Silvestro, Francesco, Simone Gabellani, Roberto Rudari, et al.. (2015). Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data. Hydrology and earth system sciences. 19(4). 1727–1751. 109 indexed citations
11.
Ward, Philip J., Brenden Jongman, Peter Salamon, et al.. (2015). Usefulness and limitations of global flood risk models. Nature Climate Change. 5(8). 712–715. 211 indexed citations
12.
Pulvirenti, Luca, et al.. (2014). Combined use of multi-temporal COSMO-SkyMed data and a hydrodynamic model to monitor flood dynamics. CINECA IRIS Institutial Research Information System (University of Genoa). 3346–3349. 2 indexed citations
13.
Silvestro, Francesco, Simone Gabellani, Franco Delogu, Roberto Rudari, & Giorgio Boni. (2013). Exploiting remote sensing land surface temperature in distributed hydrological modelling: the example of the Continuum model. Hydrology and earth system sciences. 17(1). 39–62. 73 indexed citations
14.
Entekhabi, Dara, et al.. (2013). Synoptic Preconditions for Extreme Flooding during the Summer Asian Monsoon in the Mumbai Area. Journal of Hydrometeorology. 15(1). 229–242. 3 indexed citations
15.
Laiolo, Paola, Simone Gabellani, Nicola Rebora, et al.. (2013). Validation of the Flood‐PROOFS probabilistic forecasting system. Hydrological Processes. 28(9). 3466–3481. 22 indexed citations
16.
Segoni, Samuele, L. Leoni, Filippo Catani, et al.. (2009). Towards a definition of a real-time forecasting network for rainfall induced shallow landslides. Natural hazards and earth system sciences. 9(6). 2119–2133. 59 indexed citations
17.
Rudari, Roberto, Dara Entekhabi, & Giorgio Roth. (2005). Large-scale atmospheric patterns associated with mesoscale features leading to extreme precipitation events in Northwestern Italy. Advances in Water Resources. 28(6). 601–614. 42 indexed citations
18.
Giannoni, F., Giorgio Roth, & Roberto Rudari. (2005). A procedure for drainage network identification from geomorphology and its application to the prediction of the hydrologic response. Advances in Water Resources. 28(6). 567–581. 76 indexed citations
19.
Gabellani, Simone, F. Giannoni, Antonio Parodi, et al.. (2005). Applicability of a forecasting chain in a different morphological environment in Italy. Advances in geosciences. 2. 131–134. 3 indexed citations
20.
Roth, Giorgio, Giorgio Boni, F. Giannoni, & Roberto Rudari. (2004). On the Role of a Hydrologic Model in Regional Precipitation and Flood Frequency Analyses. CINECA IRIS Institutial Research Information System (University of Genoa). 2004. 3 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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