Marino Marrocu

1.0k total citations
39 papers, 753 citations indexed

About

Marino Marrocu is a scholar working on Atmospheric Science, Global and Planetary Change and Electrical and Electronic Engineering. According to data from OpenAlex, Marino Marrocu has authored 39 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Marino Marrocu's work include Meteorological Phenomena and Simulations (12 papers), Energy Load and Power Forecasting (11 papers) and Climate variability and models (10 papers). Marino Marrocu is often cited by papers focused on Meteorological Phenomena and Simulations (12 papers), Energy Load and Power Forecasting (11 papers) and Climate variability and models (10 papers). Marino Marrocu collaborates with scholars based in Italy, Germany and Canada. Marino Marrocu's co-authors include Luca Massidda, Roberto Deidda, Claudio Paniconi, Andreas Langousis, Antonios Mamalakis, Mauro Sulis, Mario Putti, David Huard, Fabio Bettio and Diane Chaumont and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Applied Energy.

In The Last Decade

Marino Marrocu

38 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marino Marrocu Italy 15 281 271 197 169 160 39 753
Laurent Dubus France 14 193 0.7× 286 1.1× 125 0.6× 86 0.5× 182 1.1× 29 620
Fateh Chebana Canada 14 208 0.7× 161 0.6× 74 0.4× 191 1.1× 58 0.4× 29 663
Tomas Landelius Sweden 18 327 1.2× 103 0.4× 308 1.6× 96 0.6× 218 1.4× 43 985
Sultan Al-Yahyai Oman 13 143 0.5× 382 1.4× 178 0.9× 27 0.2× 187 1.2× 36 883
Seyed Mostafa Biazar Iran 17 341 1.2× 158 0.6× 108 0.5× 232 1.4× 143 0.9× 22 784
Roozbeh Moazenzadeh Iran 11 259 0.9× 95 0.4× 70 0.4× 248 1.5× 138 0.9× 15 707
Javier Estévez Spain 17 604 2.1× 63 0.2× 188 1.0× 199 1.2× 143 0.9× 41 883
Jazuli Abdullahi Cyprus 10 180 0.6× 89 0.3× 58 0.3× 253 1.5× 131 0.8× 22 612
Kenneth J. Westrick United States 9 470 1.7× 312 1.2× 532 2.7× 100 0.6× 70 0.4× 10 908
L. Cornejo-Bueno Spain 15 78 0.3× 394 1.5× 118 0.6× 21 0.1× 386 2.4× 26 876

Countries citing papers authored by Marino Marrocu

Since Specialization
Citations

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

Fields of papers citing papers by Marino Marrocu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marino Marrocu

This figure shows the co-authorship network connecting the top 25 collaborators of Marino Marrocu. A scholar is included among the top collaborators of Marino Marrocu 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 Marino Marrocu. Marino Marrocu 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.
Massidda, Luca & Marino Marrocu. (2025). Hybrid forecasting of demand flexibility: A top-down approach for thermostatically controlled loads. Energy and AI. 20. 100487–100487. 5 indexed citations
2.
Massidda, Luca, Fabio Bettio, & Marino Marrocu. (2024). Probabilistic day-ahead prediction of PV generation. A comparative analysis of forecasting methodologies and of the factors influencing accuracy. Solar Energy. 271. 112422–112422. 40 indexed citations
3.
Massidda, Luca & Marino Marrocu. (2023). Total and thermal load forecasting in residential communities through probabilistic methods and causal machine learning. Applied Energy. 351. 121783–121783. 20 indexed citations
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Bertoldo, Silvano, G. Perona, Marco Allegretti, et al.. (2019). First analyses of rainfall patterns retrieved by a newly installed X-band radar over the Metropolitan area of Cagliari (Sardinia, Italy). Repository for Publications and Research Data (ETH Zurich). 1. 1–2. 1 indexed citations
7.
Marrocu, Marino & Luca Massidda. (2017). A Simple and Effective Approach for the Prediction of Turbine Power Production From Wind Speed Forecast. Energies. 10(12). 1967–1967. 6 indexed citations
8.
Massidda, Luca & Marino Marrocu. (2017). Decoupling Weather Influence from User Habits for an Optimal Electric Load Forecast System. Energies. 10(12). 2171–2171. 13 indexed citations
9.
Mamalakis, Antonios, Andreas Langousis, Roberto Deidda, & Marino Marrocu. (2017). A parametric approach for simultaneous bias correction and high‐resolution downscaling of climate model rainfall. Water Resources Research. 53(3). 2149–2170. 50 indexed citations
10.
Langousis, Andreas, Antonios Mamalakis, Roberto Deidda, & Marino Marrocu. (2015). Assessing the relative effectiveness of statistical downscaling and distribution mapping in reproducing rainfall statistics based on climate model results. Water Resources Research. 52(1). 471–494. 40 indexed citations
11.
Deidda, Roberto, et al.. (2014). Seawater intrusion risk analysis under climate change conditions for the Gaza Strip aquifer (Palestine). EspaceINRS (National Institute for Scientific Research (Canada)). 16. 12986. 1 indexed citations
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Deidda, Roberto, et al.. (2013). Regional climate models' performance in representing precipitation and temperature over selected Mediterranean areas. Hydrology and earth system sciences. 17(12). 5041–5059. 57 indexed citations
14.
Deidda, Roberto, Marino Marrocu, Roberto Meloni, et al.. (2013). Climate Variability and Durum Wheat Adaptation Using the AquaCrop Model in Southern Sardinia. Procedia Environmental Sciences. 19. 830–835. 24 indexed citations
15.
Gherboudj, Imen, et al.. (2005). ANALYSIS OF ASAR IMAGERY FOR HYDROLOGICAL APPLICATIONS IN SARDINIA, ITALY. 2 indexed citations
16.
Boi, P., Marino Marrocu, & Andrea Giachetti. (2004). Rainfall estimation from infrared data using an improved version of the Auto-Estimator Technique. International Journal of Remote Sensing. 25(21). 4657–4673. 5 indexed citations
17.
Deidda, Roberto, Marino Marrocu, & A. Speranza. (2000). Meteorological forecasting for the European Southern observatory in Chile. CNR Solar (Scientific Open-access Literature Archive and Repository) (Consiglio Nazionale delle Ricerche). 23(1). 1–23. 2 indexed citations
18.
Marrocu, Marino & D. Ambrosi. (1999). Mesh adaptation strategies for shallow water flow. International Journal for Numerical Methods in Fluids. 31(2). 497–512. 7 indexed citations
19.
Marrocu, Marino, Ruben Scardovelli, & P. Malguzzi. (1998). Parallelization and performance of a meteorological limited area model. Parallel Computing. 24(5-6). 911–922. 4 indexed citations
20.
Marrocu, Marino, et al.. (1993). Precipitation estimation over Sardinia from satellite infrared data. International Journal of Remote Sensing. 14(1). 115–134. 15 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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