Renata Vezzoli

985 total citations
34 papers, 769 citations indexed

About

Renata Vezzoli is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Renata Vezzoli has authored 34 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 17 papers in Water Science and Technology and 9 papers in Atmospheric Science. Recurrent topics in Renata Vezzoli's work include Hydrology and Watershed Management Studies (17 papers), Climate variability and models (13 papers) and Hydrology and Drought Analysis (12 papers). Renata Vezzoli is often cited by papers focused on Hydrology and Watershed Management Studies (17 papers), Climate variability and models (13 papers) and Hydrology and Drought Analysis (12 papers). Renata Vezzoli collaborates with scholars based in Italy, United States and Canada. Renata Vezzoli's co-authors include Carlo De Michele, Gianfausto Salvadori, Giuseppe Passoni, Robert J. Scholes, Francesco Accatino, Paola Mercogliano, Alessandra Lucia Zollo, Marco Gianinetto, C. Cacciamani and Harry Pavlopoulos and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Renata Vezzoli

33 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renata Vezzoli Italy 12 527 215 167 123 99 34 769
Omar I. Abdul‐Aziz United States 14 502 1.0× 405 1.9× 224 1.3× 116 0.9× 240 2.4× 37 935
Christian Tøttrup Denmark 14 565 1.1× 211 1.0× 128 0.8× 52 0.4× 348 3.5× 25 881
Luiz Carlos Baldicero Molion Brazil 13 731 1.4× 171 0.8× 437 2.6× 97 0.8× 151 1.5× 32 957
Jūratė Kriaučiūnienė Lithuania 16 421 0.8× 347 1.6× 175 1.0× 73 0.6× 124 1.3× 52 725
Anne‐Laure Gibelin France 11 582 1.1× 103 0.5× 320 1.9× 61 0.5× 115 1.2× 14 805
Meixiu Yu China 14 782 1.5× 543 2.5× 149 0.9× 101 0.8× 189 1.9× 30 1.1k
Zeli Tan United States 20 519 1.0× 254 1.2× 394 2.4× 38 0.3× 219 2.2× 55 1.0k
Housen Chu United States 19 1.0k 1.9× 174 0.8× 367 2.2× 162 1.3× 350 3.5× 33 1.3k
Yuting Fan China 11 473 0.9× 301 1.4× 370 2.2× 35 0.3× 109 1.1× 29 763
H. A. Gutiérrez‐Jurado United States 15 413 0.8× 229 1.1× 261 1.6× 85 0.7× 169 1.7× 22 728

Countries citing papers authored by Renata Vezzoli

Since Specialization
Citations

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

Fields of papers citing papers by Renata Vezzoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renata Vezzoli

This figure shows the co-authorship network connecting the top 25 collaborators of Renata Vezzoli. A scholar is included among the top collaborators of Renata Vezzoli 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 Renata Vezzoli. Renata Vezzoli 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.
Gianinetto, Marco, Maria Cristina Rulli, Giovanni Ravazzani, et al.. (2019). D-RUSLE: a dynamic model to estimate potential soil erosion with satellite time series in the Italian Alps. European Journal of Remote Sensing. 52(sup4). 34–53. 38 indexed citations
2.
Gianinetto, Marco, Renata Vezzoli, Maria Cristina Rulli, et al.. (2019). MODELLING SOIL EROSION IN THE ALPS WITH DYNAMIC RUSLE-LIKE MODEL AND SATELLITE OBSERVATIONS. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 94–97. 4 indexed citations
3.
Vezzoli, Renata, Gianfausto Salvadori, & Carlo De Michele. (2017). A distributional multivariate approach for assessing performance of climate-hydrology models. Scientific Reports. 7(1). 12071–12071. 18 indexed citations
4.
Vezzoli, Renata, Paola Mercogliano, & Sergio Castellari. (2016). SCENARI DI CAMBIAMENTI CLIMATICI NEL PERIODO 2021-2050: QUALE DISPONIBILITÀ IDRICA NEL BACINO DEL FIUME PO?. 3(1). 1 indexed citations
5.
Vezzoli, Renata, et al.. (2015). Climate-hydrological modelling of Calore Irpino River basin.. 1 indexed citations
6.
Vezzoli, Renata, et al.. (2015). Hydrological simulation of Po River (North Italy) discharge under climate change scenarios using the RCM COSMO-CLM. The Science of The Total Environment. 521-522. 346–358. 61 indexed citations
7.
Mercogliano, Paola, et al.. (2014). High resolution climate scenarios on Mediterranean test case areas for the hydro-climate integrated system.. 1 indexed citations
8.
Mercogliano, Paola, et al.. (2014). High Resolution Climate Scenarios on Mediterranean Test Case Areas for the Hydro-Climate Integrated System. SSRN Electronic Journal. 1 indexed citations
9.
Vezzoli, Renata, et al.. (2014). Hydrological simulations driven by RCM climate scenarios at basin scale in the Po River, Italy. SHILAP Revista de lepidopterología. 364. 128–133. 7 indexed citations
10.
Vezzoli, Renata, et al.. (2013). Evaluation of climate driven simulations of Po river flow from 1971 to 2000 through flow-duration curve indices: preliminary results..
11.
Vezzoli, Renata & Paola Mercogliano. (2013). Impacts of land cover and climate changes on peak floods probability distribution function.. 1 indexed citations
12.
Michele, Carlo De, et al.. (2013). Multivariate assessment of droughts: Frequency analysis and dynamic return period. Water Resources Research. 49(10). 6985–6994. 124 indexed citations
13.
Zollo, Alessandra Lucia, Paola Mercogliano, Marco Turco, et al.. (2012). Architectures and tools to analyse the impact of climate change on hydrogeological risk on Mediterranean area.. 1 indexed citations
14.
Vezzoli, Renata. (2012). From extreme areal rainfall to flood risk using a derived distribution approach with examples of climate change impacts.. 1 indexed citations
15.
Vezzoli, Renata, et al.. (2012). Data analysis to detect inhomogeneity, change points, trends in observations: an application to Po river discharge extremes.. 9 indexed citations
16.
Vezzoli, Renata, et al.. (2012). A Brief Introduction to the Concept of Return Period for Univariate Variables. SSRN Electronic Journal. 5 indexed citations
17.
18.
Vezzoli, Renata, Carlo De Michele, Harry Pavlopoulos, & Robert J. Scholes. (2008). Dryland ecosystems: The coupled stochastic dynamics of soil water and vegetation and the role of rainfall seasonality. Physical Review E. 77(5). 51908–51908. 11 indexed citations
19.
Michele, Carlo De, Renata Vezzoli, Harry Pavlopoulos, & Robert J. Scholes. (2008). A minimal model of soil water–vegetation interactions forced by stochastic rainfall in water-limited ecosystems. Ecological Modelling. 212(3-4). 397–407. 19 indexed citations
20.
Michele, Carlo De, Gianfausto Salvadori, Giuseppe Passoni, & Renata Vezzoli. (2007). A multivariate model of sea storms using copulas. Coastal Engineering. 54(10). 734–751. 182 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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