Alessandro Perotto

420 total citations
12 papers, 341 citations indexed

About

Alessandro Perotto is a scholar working on Atmospheric Science, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Alessandro Perotto has authored 12 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 7 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Alessandro Perotto's work include Energy Load and Power Forecasting (7 papers), Meteorological Phenomena and Simulations (6 papers) and Solar Radiation and Photovoltaics (6 papers). Alessandro Perotto is often cited by papers focused on Energy Load and Power Forecasting (7 papers), Meteorological Phenomena and Simulations (6 papers) and Solar Radiation and Photovoltaics (6 papers). Alessandro Perotto collaborates with scholars based in Italy and Switzerland. Alessandro Perotto's co-authors include Francesco Spada, Enrico Maggioni, Cristina Cornaro, Marco Pierro, David Moser, Matteo De Felice, Francesco Bucci, Raffaele Salerno, Mauro Pravettoni and Marco Mancini and has published in prestigious journals such as Renewable Energy, Solar Energy and Applied Sciences.

In The Last Decade

Alessandro Perotto

12 papers receiving 331 citations

Peers

Alessandro Perotto

EEE

RESE

MSOR

Enrico Maggioni Italy

Francesco Spada Italy

Emre Akarslan Türkiye

Luis Mazorra-Aguiar Spain

V. Banunarayanan United States

R. Marchante Spain

Bri-Mathias Hodge United States

F. Díaz Spain

Remus Boata Romania

Lukas Nonnenmacher United States

Enrico Maggioni Italy

Alessandro Perotto

278 ×1.0

265 ×1.0

EEE

175 ×1.0

RESE

27 ×0.9

21 ×1.0

MSOR

Citations per year, relative to Alessandro Perotto Alessandro Perotto (= 1×) peers Enrico Maggioni

Countries citing papers authored by Alessandro Perotto

Since Specialization

Citations

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

Fields of papers citing papers by Alessandro Perotto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Perotto

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

All Works

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12 of 12 papers shown

Ferrari, Francesco, Enrico Maggioni, Alessandro Perotto, Raffaele Salerno, & M. Giudici. (2023). Cascade sensitivity tests to model deep convective systems in complex orography with WRF. Atmospheric Research. 295. 106964–106964. 3 indexed citations

Maggioni, Enrico, Alessandro Perotto, Francesco Spada, et al.. (2023). WRF data assimilation of weather stations and lightning data for a convective event in northern Italy. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 4(1). 3 indexed citations

Corbari, Chiara, Giovanni Ravazzani, Alessandro Perotto, et al.. (2022). Weekly Monitoring and Forecasting of Hydropower Production Coupling Meteo-Hydrological Modeling with Ground and Satellite Data in the Italian Alps. Hydrology. 9(2). 29–29. 7 indexed citations

Ceppi, Alessandro, Chiara Corbari, Giovanni Ravazzani, et al.. (2020). A Study of an Algorithm for the Surface Temperature Forecast: From Road Ice Risk to Farmland Application. Applied Sciences. 10(14). 4952–4952. 7 indexed citations

Pierro, Marco, Matteo De Felice, Enrico Maggioni, et al.. (2019). Residual load probabilistic forecast for reserve assessment: A real case study. Renewable Energy. 149. 508–522. 23 indexed citations

Pierro, Marco, Matteo De Felice, Enrico Maggioni, et al.. (2018). Photovoltaic generation forecast for power transmission scheduling: A real case study. Solar Energy. 174. 976–990. 27 indexed citations

Pierro, Marco, Matteo De Felice, Enrico Maggioni, et al.. (2017). A New Approach for Regional Photovoltaic Power Estimation and Forecast. EU PVSEC. 2485–2491. 3 indexed citations

Pierro, Marco, Matteo De Felice, Enrico Maggioni, et al.. (2017). Data-driven upscaling methods for regional photovoltaic power estimation and forecast using satellite and numerical weather prediction data. Solar Energy. 158. 1026–1038. 115 indexed citations

Pierro, Marco, Francesco Bucci, Matteo De Felice, et al.. (2016). Multi-Model Ensemble for day ahead prediction of photovoltaic power generation. Solar Energy. 134. 132–146. 84 indexed citations

10.

Pierro, Marco, Francesco Bucci, Matteo De Felice, et al.. (2016). Deterministic and Stochastic Approaches for Day-Ahead Solar Power Forecasting. Journal of Solar Energy Engineering. 139(2). 45 indexed citations

11.

Pierro, Marco, Francesco Bucci, Cristina Cornaro, et al.. (2015). Model output statistics cascade to improve day ahead solar irradiance forecast. Solar Energy. 117. 99–113. 23 indexed citations

12.

Perotto, Alessandro, et al.. (2013). Global Irradiance in the Southern Alpine Climate: Meteo Modelling and Statistical Post-Processing. EU PVSEC. 3968–3972. 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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