Diego Avesani

653 total citations
22 papers, 501 citations indexed

About

Diego Avesani is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Diego Avesani has authored 22 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 10 papers in Atmospheric Science and 9 papers in Water Science and Technology. Recurrent topics in Diego Avesani's work include Hydrology and Watershed Management Studies (9 papers), Fluid Dynamics Simulations and Interactions (7 papers) and Flood Risk Assessment and Management (6 papers). Diego Avesani is often cited by papers focused on Hydrology and Watershed Management Studies (9 papers), Fluid Dynamics Simulations and Interactions (7 papers) and Flood Risk Assessment and Management (6 papers). Diego Avesani collaborates with scholars based in Italy, Germany and Chile. Diego Avesani's co-authors include Alberto Bellin, Maurizio Righetti, Michael Dumbser, Bruno Majone, Andrea Menapace, Marco Borga, Renato Vacondio, Mattia Zaramella, Gabriele Chiogna and Ariele Zanfei and has published in prestigious journals such as Journal of Computational Physics, Applied Energy and Journal of Hydrology.

In The Last Decade

Diego Avesani

21 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Avesani Italy 16 200 157 133 118 102 22 501
Carmine Covelli Italy 15 136 0.7× 61 0.4× 82 0.6× 281 2.4× 37 0.4× 20 481
Xiaohui Yan Canada 15 163 0.8× 96 0.6× 166 1.2× 166 1.4× 57 0.6× 43 492
Khosrow Hosseini Iran 12 89 0.4× 136 0.9× 62 0.5× 203 1.7× 30 0.3× 40 411
Budi Gunawan United States 11 41 0.2× 92 0.6× 47 0.4× 44 0.4× 83 0.8× 37 473
J. S. Lai Taiwan 10 41 0.2× 193 1.2× 64 0.5× 52 0.4× 60 0.6× 23 382
Hans‐Jörg G. Diersch Germany 5 83 0.4× 72 0.5× 30 0.2× 134 1.1× 25 0.2× 7 551
Yanina Parshakova Russia 10 124 0.6× 74 0.5× 29 0.2× 27 0.2× 34 0.3× 52 362
Shao‐Yiu Hsu Taiwan 13 48 0.2× 62 0.4× 56 0.4× 102 0.9× 13 0.1× 37 445
Pasquale Filianoti Italy 13 61 0.3× 172 1.1× 57 0.4× 80 0.7× 26 0.3× 43 452
Carlos A. Vionnet Argentina 9 110 0.6× 103 0.7× 59 0.4× 48 0.4× 31 0.3× 23 337

Countries citing papers authored by Diego Avesani

Since Specialization
Citations

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

Fields of papers citing papers by Diego Avesani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Avesani

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Avesani. A scholar is included among the top collaborators of Diego Avesani 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 Diego Avesani. Diego Avesani 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.
Napoli, Anna, et al.. (2025). Elevation-driven biases in seasonal weather forecasts: Insights from the Alpine region. Physics and Chemistry of the Earth Parts A/B/C. 139. 103957–103957. 1 indexed citations
2.
Lerch, Sebastian, et al.. (2025). Performance assessment of neural network models for seasonal weather forecast postprocessing in the Alpine region. Advances in Water Resources. 204. 105061–105061. 2 indexed citations
4.
Menapace, Andrea, et al.. (2024). Suitability of ERA5-Land reanalysis dataset for hydrological modelling in the Alpine region. Journal of Hydrology Regional Studies. 52. 101718–101718. 32 indexed citations
5.
Majone, Bruno, Diego Avesani, Patrick Zulian, Aldo Fiori, & Alberto Bellin. (2022). Analysis of high streamflow extremes in climate change studies: how do we calibrate hydrological models?. Hydrology and earth system sciences. 26(14). 3863–3883. 34 indexed citations
6.
Avesani, Diego, et al.. (2022). Short-term hydropower optimization driven by innovative time-adapting econometric model. Applied Energy. 310. 118510–118510. 34 indexed citations
7.
Vacondio, Renato, et al.. (2021). Towards a High Order Convergent ALE-SPH Scheme with Efficient WENO Spatial Reconstruction. Water. 13(17). 2432–2432. 14 indexed citations
8.
Majone, Bruno, Diego Avesani, Patrick Zulian, Aldo Fiori, & Alberto Bellin. (2021). Analysis of high streamflow extremes in climate change studies: How do we calibrate hydrological models?. 1 indexed citations
9.
Avesani, Diego, et al.. (2021). Detailed simulation of storage hydropower systems in large Alpine watersheds. Journal of Hydrology. 603. 127125–127125. 28 indexed citations
10.
Avesani, Diego, et al.. (2021). A dual-layer MPI continuous large-scale hydrological model including Human Systems. Environmental Modelling & Software. 139. 105003–105003. 30 indexed citations
11.
Avesani, Diego, Michael Dumbser, Renato Vacondio, & Maurizio Righetti. (2021). An alternative SPH formulation: ADER-WENO-SPH. Computer Methods in Applied Mechanics and Engineering. 382. 113871–113871. 31 indexed citations
12.
Avesani, Diego, et al.. (2021). Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model. Journal of Hydrology. 599. 126020–126020. 44 indexed citations
13.
Menapace, Andrea, et al.. (2020). Burst Detection in Water Distribution Systems: The Issue of Dataset Collection. Applied Sciences. 10(22). 8219–8219. 24 indexed citations
14.
Avesani, Diego, et al.. (2020). Impact of Geology on Seasonal Hydrological Predictability in Alpine Regions by a Sensitivity Analysis Framework. Water. 12(8). 2255–2255. 16 indexed citations
15.
Righetti, Maurizio, et al.. (2020). Comparison of MODIS and Model-Derived Snow-Covered Areas: Impact of Land Use and Solar Illumination Conditions. Geosciences. 10(4). 134–134. 21 indexed citations
16.
Menapace, Andrea, et al.. (2018). Uniformly Distributed Demand EPANET Extension. Water Resources Management. 32(6). 2165–2180. 31 indexed citations
17.
Avesani, Diego, Michael Dumbser, Gabriele Chiogna, & Alberto Bellin. (2016). An alternative smooth particle hydrodynamics formulation to simulate chemotaxis in porous media. Journal of Mathematical Biology. 74(5). 1037–1058. 18 indexed citations
18.
Avesani, Diego, et al.. (2015). Smooth Particle Hydrodynamics with nonlinear Moving-Least-Squares WENO reconstruction to model anisotropic dispersion in porous media. Advances in Water Resources. 80. 43–59. 22 indexed citations
19.
Avesani, Diego, Michael Dumbser, & Alberto Bellin. (2014). A new class of Moving-Least-Squares WENO–SPH schemes. Journal of Computational Physics. 270. 278–299. 72 indexed citations
20.
Avesani, Diego, et al.. (2012). The extension of EPANET source code to simulate unsteady flow in water distribution networks with variable head tanks. Journal of Hydroinformatics. 14(4). 960–973. 18 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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