Silvia Barbetta

2.3k total citations
61 papers, 1.3k citations indexed

About

Silvia Barbetta is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology. According to data from OpenAlex, Silvia Barbetta has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Global and Planetary Change, 44 papers in Water Science and Technology and 29 papers in Ecology. Recurrent topics in Silvia Barbetta's work include Flood Risk Assessment and Management (45 papers), Hydrology and Watershed Management Studies (44 papers) and Hydrology and Sediment Transport Processes (29 papers). Silvia Barbetta is often cited by papers focused on Flood Risk Assessment and Management (45 papers), Hydrology and Watershed Management Studies (44 papers) and Hydrology and Sediment Transport Processes (29 papers). Silvia Barbetta collaborates with scholars based in Italy, United States and India. Silvia Barbetta's co-authors include Tommaso Moramarco, Angelica Tarpanelli, Luca Brocca, Muthiah Perumal, Bhabagrahi Sahoo, F. Melone, Vijay P. Singh, Christian Massari, Gökmen Tayfur and E. Todini and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Silvia Barbetta

61 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia Barbetta Italy 20 899 898 438 366 203 61 1.3k
Pierre‐André Garambois France 22 852 0.9× 910 1.0× 381 0.9× 186 0.5× 55 0.3× 63 1.2k
Pierfranco Costabile Italy 23 783 0.9× 1.2k 1.3× 259 0.6× 289 0.8× 150 0.7× 40 1.4k
Denis Dartus France 19 580 0.6× 559 0.6× 283 0.6× 193 0.5× 153 0.8× 44 930
Josep Dolz Spain 18 413 0.5× 444 0.5× 530 1.2× 245 0.7× 405 2.0× 49 1.1k
Ziwei Xu China 20 606 0.7× 1.4k 1.6× 253 0.6× 707 1.9× 132 0.7× 38 1.8k
David I. Stannard United States 18 479 0.5× 1.1k 1.2× 190 0.4× 328 0.9× 183 0.9× 31 1.3k
Guillaume Dramais France 12 402 0.4× 544 0.6× 620 1.4× 162 0.4× 217 1.1× 42 1.0k
Gary W. Brunner United States 11 558 0.6× 546 0.6× 381 0.9× 119 0.3× 213 1.0× 25 979
Tim Peterson Australia 19 877 1.0× 678 0.8× 93 0.2× 588 1.6× 165 0.8× 55 1.4k
P. L. Patel India 18 501 0.6× 593 0.7× 239 0.5× 216 0.6× 169 0.8× 86 980

Countries citing papers authored by Silvia Barbetta

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Barbetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Barbetta

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Barbetta. A scholar is included among the top collaborators of Silvia Barbetta 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 Silvia Barbetta. Silvia Barbetta 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.
2.
Termini, Donatella, et al.. (2024). Investigating hydrodynamics and turbulent effects in rivers for different flow conditions using spatial complexity metrics. Journal of Hydrology. 641. 131790–131790. 3 indexed citations
3.
Massari, Christian, Ashutosh Sharma, Ankit Agarwal, et al.. (2024). Application of the Entropy Model to Estimate Flow Discharge and Bed Load Transport with Limited Field Measurements. Water. 16(24). 3684–3684. 1 indexed citations
4.
Tshimanga, Raphaël M., et al.. (2024). Bathymetry and discharge estimation in large and data-scarce rivers using an entropy-based approach. Hydrological Sciences Journal. 69(15). 2109–2123. 2 indexed citations
5.
Dari, Jacopo, Luca Brocca, Sara Modanesi, et al.. (2023). Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space. Earth system science data. 15(4). 1555–1575. 43 indexed citations
6.
Tarpanelli, Angelica, et al.. (2023). Flooding in the Digital Twin Earth: The Case Study of the Enza River Levee Breach in December 2017. Water. 15(9). 1644–1644. 9 indexed citations
7.
Termini, Donatella, et al.. (2023). Significance of hydraulic complexity parameters M1 and M2 based on the laboratory and field data. Hydrology research. 54(3). 303–312. 1 indexed citations
8.
Alimenti, Federico, Stefania Bonafoni, Valentina Palazzi, et al.. (2020). Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor. IEEE Transactions on Geoscience and Remote Sensing. 58(7). 5195–5207. 39 indexed citations
9.
Manfreda, Salvatore, Alonso Pizarro, Tommaso Moramarco, et al.. (2020). Potential advantages of flow-area rating curves compared to classic stage-discharge-relations. Journal of Hydrology. 585. 124752–124752. 20 indexed citations
10.
Massari, Christian, Viviana Maggioni, Silvia Barbetta, et al.. (2019). Complementing near-real time satellite rainfall products with satellite soil moisture-derived rainfall through a Bayesian Inversion approach. Journal of Hydrology. 573. 341–351. 23 indexed citations
11.
Moramarco, Tommaso, Federico Alimenti, Silvia Barbetta, et al.. (2015). A prototype of radar-drone system for measuring the surface flow velocity at river sites and discharge estimation. EGU General Assembly Conference Abstracts. 12853. 1 indexed citations
12.
Barbetta, Silvia, Gabriele Coccia, Tommaso Moramarco, & E. Todini. (2015). Improving the effectiveness of real-time flood forecasting through Predictive Uncertainty estimation: the multi-temporal approach. EGUGA. 9858. 3 indexed citations
13.
Barbetta, Silvia, et al.. (2015). National Levee Database: monitoring, vulnerability assessment and management in Italy. EGU General Assembly Conference Abstracts. 10170. 3 indexed citations
14.
Massari, Christian, et al.. (2014). Using globally available soil moisture indicators for flood modelling in Mediterranean catchments. Hydrology and earth system sciences. 18(2). 839–853. 75 indexed citations
15.
Tarpanelli, Angelica, Silvia Barbetta, Luca Brocca, et al.. (2014). River discharge estimation by using remote sensing data in absence of bathymetry: the Po River case study. EGUGA. 10286. 1 indexed citations
16.
Tarpanelli, Angelica, Silvia Barbetta, Luca Brocca, & Tommaso Moramarco. (2013). River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling. Remote Sensing. 5(9). 4145–4162. 122 indexed citations
17.
Barbetta, Silvia, Luca Brocca, F. Melone, Tommaso Moramarco, & Vijay P. Singh. (2011). Addressing the Uncertainty Assessment for Real-Time Stage Forecasting. World Environmental and Water Resources Congress 2011. 4791–4800. 2 indexed citations
18.
Perumal, Muthiah, Tommaso Moramarco, Bhabagrahi Sahoo, Silvia Barbetta, & F. Melone. (2010). Multilinear Diffusion Analogy Model for Stage Hydrograph Routing. ScholarsArchive (Brigham Young University). 3 indexed citations
19.
Tayfur, Gökmen, Silvia Barbetta, & Tommaso Moramarco. (2009). Genetic Algorithm-Based Discharge Estimation at Sites Receiving Lateral Inflows. Journal of Hydrologic Engineering. 14(5). 463–474. 15 indexed citations
20.
Barbetta, Silvia, F. Melone, & Tommaso Moramarco. (2006). On the adaptive scheme of a stage forecasting Muskingum model. international conference on Modelling and simulation. 561–567. 1 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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