Simone Sperati

1.2k total citations
18 papers, 931 citations indexed

About

Simone Sperati is a scholar working on Atmospheric Science, Electrical and Electronic Engineering and Global and Planetary Change. According to data from OpenAlex, Simone Sperati has authored 18 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 10 papers in Electrical and Electronic Engineering and 9 papers in Global and Planetary Change. Recurrent topics in Simone Sperati's work include Meteorological Phenomena and Simulations (13 papers), Energy Load and Power Forecasting (10 papers) and Climate variability and models (7 papers). Simone Sperati is often cited by papers focused on Meteorological Phenomena and Simulations (13 papers), Energy Load and Power Forecasting (10 papers) and Climate variability and models (7 papers). Simone Sperati collaborates with scholars based in Italy, United States and Denmark. Simone Sperati's co-authors include Stefano Alessandrini, Luca Delle Monache, Guido Cervone, Pierre Pinson, Maria Teresa Vespucci, Georges Kariniotakis, Chinmay Jena, Ravi S. Nanjundiah, M. Rajeevan and Mrinal K. Biswas and has published in prestigious journals such as Applied Energy, Monthly Weather Review and Renewable Energy.

In The Last Decade

Simone Sperati

18 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Sperati Italy 11 572 471 340 259 215 18 931
Vicente Lara-Fanego Spain 12 349 0.6× 594 1.3× 289 0.8× 338 1.3× 308 1.4× 19 931
Francisco J. Santos‐Alamillos Spain 18 478 0.8× 510 1.1× 413 1.2× 493 1.9× 252 1.2× 28 1.2k
Jan Remund Switzerland 17 332 0.6× 807 1.7× 237 0.7× 315 1.2× 502 2.3× 49 1.2k
Jamie M. Bright Australia 21 500 0.9× 1.2k 2.6× 214 0.6× 438 1.7× 708 3.3× 45 1.6k
J. Sharp United States 14 366 0.6× 208 0.4× 283 0.8× 241 0.9× 124 0.6× 30 715
Karl Hemker United States 10 383 0.7× 814 1.7× 166 0.5× 187 0.7× 547 2.5× 11 984
Marion Schroedter‐Homscheidt Germany 21 322 0.6× 1.0k 2.2× 453 1.3× 651 2.5× 697 3.2× 82 1.7k
Rudy Calif France 16 306 0.5× 256 0.5× 91 0.3× 141 0.5× 152 0.7× 25 735
Gabriel López Spain 20 263 0.5× 853 1.8× 164 0.5× 340 1.3× 595 2.8× 58 1.2k
Gordon Reikard United States 14 605 1.1× 576 1.2× 146 0.4× 56 0.2× 381 1.8× 33 1.2k

Countries citing papers authored by Simone Sperati

Since Specialization
Citations

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

Fields of papers citing papers by Simone Sperati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Sperati

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Sperati. A scholar is included among the top collaborators of Simone Sperati 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 Simone Sperati. Simone Sperati 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.
Lussana, Cristian, Michele Brunetti, Veronica Manara, et al.. (2024). Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy. Atmospheric Research. 312. 107734–107734. 7 indexed citations
2.
Sperati, Simone, et al.. (2024). MERIDA HRES: A new high‐resolution reanalysis dataset for Italy. Meteorological Applications. 31(6). 4 indexed citations
3.
Sperati, Simone, et al.. (2024). A new Wind Atlas to support the expansion of the Italian wind power fleet. Wind Energy. 27(3). 298–316. 6 indexed citations
4.
Sperati, Simone, et al.. (2022). The new Italian Wind Atlas - Atlante EOLico ItaliANo (AEOLIAN). IOP Conference Series Earth and Environmental Science. 1073(1). 12007–12007. 1 indexed citations
5.
Kumar, Rajesh, Sachin D. Ghude, Mrinal K. Biswas, et al.. (2020). Enhancing Accuracy of Air Quality and Temperature Forecasts During Paddy Crop Residue Burning Season in Delhi Via Chemical Data Assimilation. Journal of Geophysical Research Atmospheres. 125(17). 33 indexed citations
6.
Sperati, Simone, et al.. (2019). A new high‐resolution Meteorological Reanalysis Italian Dataset: MERIDA. Quarterly Journal of the Royal Meteorological Society. 145(721). 1756–1779. 44 indexed citations
7.
Alessandrini, Stefano, Simone Sperati, & Luca Delle Monache. (2019). Improving the Analog Ensemble Wind Speed Forecasts for Rare Events. Monthly Weather Review. 147(7). 2677–2692. 30 indexed citations
8.
Sperati, Simone, Stefano Alessandrini, & Luca Delle Monache. (2017). Gridded probabilistic weather forecasts with an analog ensemble. Quarterly Journal of the Royal Meteorological Society. 143(708). 2874–2885. 32 indexed citations
9.
Sperati, Simone, Stefano Alessandrini, & Luca Delle Monache. (2016). An application of the ECMWF Ensemble Prediction System for short-term solar power forecasting. Solar Energy. 133. 437–450. 87 indexed citations
10.
Alessandrini, Stefano, et al.. (2016). Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting. Solar Energy. 134. 327–338. 124 indexed citations
11.
Sperati, Simone, Stefano Alessandrini, Pierre Pinson, & Georges Kariniotakis. (2015). The “Weather Intelligence for Renewable Energies” Benchmarking Exercise on Short-Term Forecasting of Wind and Solar Power Generation. Energies. 8(9). 9594–9619. 39 indexed citations
12.
Alessandrini, Stefano, Luca Delle Monache, Simone Sperati, & Guido Cervone. (2015). An analog ensemble for short-term probabilistic solar power forecast. Applied Energy. 157. 95–110. 280 indexed citations
13.
Alessandrini, Stefano, et al.. (2014). Comparison of the economic impact of different wind power forecast systems for producers. Advances in science and research. 11(1). 49–53. 33 indexed citations
14.
Alessandrini, Stefano, et al.. (2014). A novel application of an analog ensemble for short-term wind power forecasting. Renewable Energy. 76. 768–781. 116 indexed citations
15.
Alessandrini, Stefano, Simone Sperati, & Pierre Pinson. (2013). A comparison between the ECMWF and COSMO Ensemble Prediction Systems applied to short-term wind power forecasting on real data. Applied Energy. 107. 271–280. 76 indexed citations
16.
Alessandrini, Stefano, Simone Sperati, & Pierre Pinson. (2012). The use of different ensemble forecasting systems for wind power prediction on a real case in the South of Italy. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
17.
Alessandrini, Stefano, Simone Sperati, & Pierre Pinson. (2012). The influence of the new ECMWF Ensemble Prediction System resolution on wind power forecast accuracy and uncertainty estimation. Advances in science and research. 8(1). 143–147. 9 indexed citations
18.
Alessandrini, Stefano, et al.. (2011). An application of ensemble/multi model approach for wind power production forecasting. Advances in science and research. 6(1). 35–37. 9 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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