Giovanni Corato

714 total citations
18 papers, 417 citations indexed

About

Giovanni Corato is a scholar working on Water Science and Technology, Global and Planetary Change and Ecology. According to data from OpenAlex, Giovanni Corato has authored 18 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Water Science and Technology, 10 papers in Global and Planetary Change and 9 papers in Ecology. Recurrent topics in Giovanni Corato's work include Hydrology and Watershed Management Studies (16 papers), Flood Risk Assessment and Management (9 papers) and Hydrology and Sediment Transport Processes (9 papers). Giovanni Corato is often cited by papers focused on Hydrology and Watershed Management Studies (16 papers), Flood Risk Assessment and Management (9 papers) and Hydrology and Sediment Transport Processes (9 papers). Giovanni Corato collaborates with scholars based in Italy, Luxembourg and United Kingdom. Giovanni Corato's co-authors include Tommaso Moramarco, Patrick Matgen, Laura Giustarini, Renaud Hostache, Marco Chini, Dmitri Kavetski, Tullio Tucciarelli, Stefan Schlaffer, F. Melone and Jeffrey Neal and has published in prestigious journals such as Water Resources Research, IEEE Transactions on Geoscience and Remote Sensing and Journal of Hydrology.

In The Last Decade

Giovanni Corato

18 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Corato Italy 11 330 259 138 119 70 18 417
P. de Fraipont France 10 376 1.1× 311 1.2× 79 0.6× 123 1.0× 89 1.3× 22 493
Domenico Ferraro Italy 11 204 0.6× 163 0.6× 191 1.4× 72 0.6× 54 0.8× 18 413
Oğuz Şimşek Türkiye 13 292 0.9× 135 0.5× 90 0.7× 52 0.4× 57 0.8× 73 497
Boosik Kang South Korea 10 259 0.8× 195 0.8× 38 0.3× 134 1.1× 100 1.4× 51 387
Nicolas Ghilain Belgium 10 378 1.1× 115 0.4× 84 0.6× 191 1.6× 251 3.6× 23 529
Franz Simons Germany 8 190 0.6× 165 0.6× 91 0.7× 190 1.6× 52 0.7× 13 464
P. V. Timbadiya India 11 304 0.9× 173 0.7× 81 0.6× 76 0.6× 74 1.1× 43 405
J. Fernández-Pato Spain 13 243 0.7× 209 0.8× 90 0.7× 151 1.3× 65 0.9× 31 423
Jasna Plavšić Serbia 13 287 0.9× 201 0.8× 91 0.7× 32 0.3× 129 1.8× 35 407
Ettore Arcangeletti Italy 5 256 0.8× 163 0.6× 98 0.7× 40 0.3× 103 1.5× 8 325

Countries citing papers authored by Giovanni Corato

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Corato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Corato

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Corato. A scholar is included among the top collaborators of Giovanni Corato 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 Giovanni Corato. Giovanni Corato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
2.
Hostache, Renaud, Marco Chini, Laura Giustarini, et al.. (2018). Near‐Real‐Time Assimilation of SAR‐Derived Flood Maps for Improving Flood Forecasts. Water Resources Research. 54(8). 5516–5535. 101 indexed citations
3.
Sinagra, Marco, et al.. (2017). Assessment of river flow with significant lateral inflow through reverse routing modeling. Hydrological Processes. 31(7). 1539–1557. 19 indexed citations
4.
Wood, Melissa, Renaud Hostache, Jeffrey Neal, et al.. (2016). Calibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using medium resolution SAR data. 5 indexed citations
5.
Giustarini, Laura, Renaud Hostache, Dmitri Kavetski, et al.. (2016). Probabilistic Flood Mapping Using Synthetic Aperture Radar Data. IEEE Transactions on Geoscience and Remote Sensing. 54(12). 6958–6969. 112 indexed citations
6.
Tucciarelli, Tullio, et al.. (2015). Computation of vertically averaged velocities in irregular sections of straight channels. Hydrology and earth system sciences. 19(9). 3857–3873. 5 indexed citations
7.
Alvisi, Stefano, et al.. (2015). Estimation of bathymetry (and discharge) in natural river cross-sections by using an entropy approach. Journal of Hydrology. 527. 20–29. 18 indexed citations
8.
Wood, Melissa, Jeffrey Neal, Renaud Hostache, et al.. (2014). Using time series of satellite SAR images to calibrate channel depth and friction parameters in the LISFLOOD-FP hydraulic model. Bristol Research (University of Bristol). 5136. 1 indexed citations
9.
Corato, Giovanni, Patrick Matgen, Fabrizio Fenicia, Stefan Schlaffer, & Marco Chini. (2014). Assimilating satellite-derived soil moisture products into a distributed hydrological model. DORA Eawag (Swiss Federal Institute of Aquatic Science and Technology (Eawag)). 3315–3318. 5 indexed citations
10.
Corato, Giovanni, et al.. (2014). Conventional Point-Velocity Records and Surface Velocity Observations for Estimating High Flow Discharge. Entropy. 16(10). 5546–5559. 14 indexed citations
11.
Hostache, Renaud, Patrick Matgen, Laura Giustarini, et al.. (2014). A drifting GPS buoy for retrieving effective riverbed bathymetry. Journal of Hydrology. 520. 397–406. 24 indexed citations
12.
Corato, Giovanni, Patrick Matgen, Laura Giustarini, & Fabrizio Fenicia. (2013). On the effects of hydrological model structure on soil moisture data assimilation. EGUGA. 1 indexed citations
13.
Moramarco, Tommaso, Giovanni Corato, F. Melone, & Vijay P. Singh. (2013). An entropy-based method for determining the flow depth distribution in natural channels. Journal of Hydrology. 497. 176–188. 33 indexed citations
14.
Corato, Giovanni, F. Melone, Tommaso Moramarco, & Vijay P. Singh. (2012). Uncertainty analysis of flow velocity estimation by a simplified entropy model. Hydrological Processes. 28(3). 581–590. 19 indexed citations
15.
Corato, Giovanni, Tommaso Moramarco, & Tullio Tucciarelli. (2011). Discharge estimation combining flow routing and occasional measurements of velocity. Hydrology and earth system sciences. 15(9). 2979–2994. 32 indexed citations
16.
Corato, Giovanni, F. Melone, & Marc Moramarco. (2011). How to Address Velocity Measurements during High Floods: The Case Study of the Hydrometric Section along the Chiascio River in Central Italy. World Environmental and Water Resources Congress 2011. 2429–2438. 1 indexed citations
17.
Aricò, Costanza, Giovanni Corato, Tullio Tucciarelli, et al.. (2010). Discharge estimation in open channels by means of water level hydrograph analysis. Journal of Hydraulic Research. 48(5). 612–619. 15 indexed citations
18.
Gueli, Roberto, Tullio Tucciarelli, & Giovanni Corato. (2009). Discharge and bed roughness estimation from water level data analysis. Nova Science Publishers (Nova Science Publishers, Inc.). 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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