Massimo Milelli

608 total citations
39 papers, 335 citations indexed

About

Massimo Milelli is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Massimo Milelli has authored 39 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in Massimo Milelli's work include Meteorological Phenomena and Simulations (24 papers), Climate variability and models (13 papers) and Precipitation Measurement and Analysis (11 papers). Massimo Milelli is often cited by papers focused on Meteorological Phenomena and Simulations (24 papers), Climate variability and models (13 papers) and Precipitation Measurement and Analysis (11 papers). Massimo Milelli collaborates with scholars based in Italy, Germany and Spain. Massimo Milelli's co-authors include D. Lakehal, Brian L. Smith, Véronique Ducrocq, María Carmen Llasat, D. Rabuffetti, Valeria Garbero, Antonio Parodi, Paola Mercogliano, Marco Turco and Silke Dierer and has published in prestigious journals such as Sensors, Quarterly Journal of the Royal Meteorological Society and Remote Sensing.

In The Last Decade

Massimo Milelli

34 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Milelli Italy 11 184 168 73 65 48 39 335
Diego Avesani Italy 16 133 0.7× 102 0.6× 100 1.4× 200 3.1× 157 3.3× 22 501
John L. Vogel United States 9 164 0.9× 121 0.7× 102 1.4× 58 0.9× 18 0.4× 35 333
Stefan Horender Switzerland 12 60 0.3× 173 1.0× 111 1.5× 15 0.2× 75 1.6× 28 370
Matteo Colli Italy 15 272 1.5× 451 2.7× 186 2.5× 111 1.7× 39 0.8× 34 604
Tarek Merabtene United Arab Emirates 8 165 0.9× 26 0.2× 122 1.7× 120 1.8× 24 0.5× 29 311
Wilfried Jacobs Germany 3 440 2.4× 470 2.8× 257 3.5× 16 0.2× 9 0.2× 4 631
Franciano Scremin Puhales Brazil 11 222 1.2× 260 1.5× 191 2.6× 15 0.2× 100 2.1× 42 367
Marko Ivetić Serbia 7 160 0.9× 45 0.3× 172 2.4× 104 1.6× 32 0.7× 10 340
Mei-Kao Liu United States 11 138 0.8× 269 1.6× 158 2.2× 12 0.2× 37 0.8× 21 396
Felipe Denardin Costa Brazil 11 233 1.3× 265 1.6× 233 3.2× 10 0.2× 128 2.7× 36 384

Countries citing papers authored by Massimo Milelli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Milelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Milelli

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Milelli. A scholar is included among the top collaborators of Massimo Milelli 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 Massimo Milelli. Massimo Milelli 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.
Lagasio, Martina, Stefano Barindelli, Sergio Contreras, et al.. (2025). Integrating Advanced Sensor Technologies for Enhanced Agricultural Weather Forecasts and Irrigation Advisories: The MAGDA Project Approach. Remote Sensing. 17(11). 1855–1855.
2.
Lagasio, Martina, Massimo Milelli, Antonio Parodi, et al.. (2025). Convection‐permitting dynamical downscaling of ERA5 for Europe and the Mediterranean basin. Quarterly Journal of the Royal Meteorological Society. 151(772). 1 indexed citations
3.
Avanzi, Francesco, Massimo Milelli, Simone Gabellani, et al.. (2024). Winter snow deficit was a harbinger of summer 2022 socio-hydrologic drought in the Po Basin, Italy. Communications Earth & Environment. 5(1). 22 indexed citations
4.
Milelli, Massimo, et al.. (2024). Climate Change Education in a Secondary School, the I‐ CHANGE Project Approach. European Journal of Education. 60(1).
5.
Boni, Giorgio, et al.. (2024). The role of citizen science in assessing the spatiotemporal pattern of rainfall events in urban areas: a case study in the city of Genoa, Italy. Natural hazards and earth system sciences. 24(7). 2495–2510. 4 indexed citations
6.
7.
Brattich, Erika, et al.. (2024). Performance evaluation of MeteoTracker mobile sensor for outdoor applications. Atmospheric measurement techniques. 17(10). 3255–3278. 3 indexed citations
8.
Burlando, Massimiliano, Mario Marcello Miglietta, Elenio Avolio, et al.. (2024). The –WIND RISK project: nowcast and simulation of thunderstorm outflows. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 5(1). 3 indexed citations
9.
Rigo, Tomeu, María Carmen Llasat, Riccardo Biondi, et al.. (2023). Application of Severe Weather Nowcasting to Case Studies in Air Traffic Management. Atmosphere. 14(8). 1238–1238.
10.
Milelli, Massimo, Martina Lagasio, Stefano Federico, et al.. (2022). Is an NWP-Based Nowcasting System Suitable for Aviation Operations?. Remote Sensing. 14(18). 4440–4440. 20 indexed citations
11.
Lagasio, Martina, Luca Ferraris, Elisabetta Fiori, et al.. (2022). A Complete Meteo/Hydro/Hydraulic Chain Application to Support Early Warning and Monitoring Systems: The Apollo Medicane Use Case. Remote Sensing. 14(24). 6348–6348. 6 indexed citations
12.
Lagasio, Martina, Lorenzo Campo, Massimo Milelli, et al.. (2022). SWING, The Score-Weighted Improved NowcastinG Algorithm: Description and Application. Water. 14(13). 2131–2131. 5 indexed citations
13.
Parodi, Antonio, Massimo Milelli, Martina Lagasio, et al.. (2022). A Nowcasting Algorithm of Severe Weather Events at Local Spatial Scale: The Venezia Case Study. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 6554–6557. 1 indexed citations
14.
Milelli, Massimo, et al.. (2022). Characterization of the Urban Heat and Dry Island effects in the Turin metropolitan area. Urban Climate. 47. 101397–101397. 13 indexed citations
15.
Garbero, Valeria, Massimo Milelli, Edoardo Bucchignani, et al.. (2021). Evaluating the Urban Canopy Scheme TERRA_URB in the COSMO Model for Selected European Cities. Atmosphere. 12(2). 237–237. 21 indexed citations
16.
Helmert, Jürgen, Jiarui Dong, Patricia de Rosnay, et al.. (2018). 1st Snow Data Assimilation Workshop in the framework of COST HarmoSnow ESSEM 1404. Meteorologische Zeitschrift. 27(4). 325–333. 2 indexed citations
17.
18.
Milelli, Massimo, et al.. (2008). Sensitivity experiments of a severe rainfall event in north-western Italy: 17 August 2006. Advances in science and research. 2(1). 133–138. 5 indexed citations
19.
Yadigaroglu, G., et al.. (2007). CFD4NRS with a focus on experimental and CMFD investigations of bubbly flows. Nuclear Engineering and Design. 238(3). 771–785. 3 indexed citations
20.
Milelli, Massimo, et al.. (2006). Weather forecasts obtained with a Multimodel SuperEnsemble technique in a complex orography region. Meteorologische Zeitschrift. 15(2). 207–214. 14 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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