Giulia Panegrossi

2.4k total citations
76 papers, 1.5k citations indexed

About

Giulia Panegrossi is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Giulia Panegrossi has authored 76 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Atmospheric Science, 32 papers in Global and Planetary Change and 18 papers in Environmental Engineering. Recurrent topics in Giulia Panegrossi's work include Meteorological Phenomena and Simulations (64 papers), Precipitation Measurement and Analysis (54 papers) and Climate variability and models (17 papers). Giulia Panegrossi is often cited by papers focused on Meteorological Phenomena and Simulations (64 papers), Precipitation Measurement and Analysis (54 papers) and Climate variability and models (17 papers). Giulia Panegrossi collaborates with scholars based in Italy, United States and France. Giulia Panegrossi's co-authors include Stefano Dietrich, Paolo Sanò, Daniele Casella, A. Mugnai, Anna Cinzia Marra, Gregory J. Tripoli, Mark S. Kulie, Frank S. Marzano, Eric A. Smith and Carlo Maria Medaglia and has published in prestigious journals such as Remote Sensing of Environment, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Giulia Panegrossi

73 papers receiving 1.5k citations

Peers

Giulia Panegrossi
Ziad S. Haddad United States
A. Mugnai Italy
Anthony Illingworth United Kingdom
Merhala Thurai United States
Alessandro Battaglia United Kingdom
Jui‐Lin F. Li United States
Ziad S. Haddad United States
Giulia Panegrossi
Citations per year, relative to Giulia Panegrossi Giulia Panegrossi (= 1×) peers Ziad S. Haddad

Countries citing papers authored by Giulia Panegrossi

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Panegrossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Panegrossi

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Panegrossi. A scholar is included among the top collaborators of Giulia Panegrossi 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 Giulia Panegrossi. Giulia Panegrossi 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.
Casella, Daniele, et al.. (2024). The High lAtitude sNowfall Detection and Estimation aLgorithm for ATMS (HANDEL-ATMS): a new algorithm for snowfall retrieval at high latitudes. Atmospheric measurement techniques. 17(7). 2195–2217. 2 indexed citations
2.
D’Adderio, Leo Pio, Daniele Casella, Stefano Dietrich, Giulia Panegrossi, & Paolo Sanò. (2023). A First Step towards Meteosat Third Generation Day-2 Precipitation Rate Product: Deep Learning for Precipitation Rate Retrieval from Geostationary Infrared Measurements. Remote Sensing. 15(24). 5662–5662. 2 indexed citations
3.
Casella, Daniele, Giulia Panegrossi, Paolo Sanò, et al.. (2022). Can We Use Atmospheric Targets for Geolocating Spaceborne Millimeter-Wave Ice Cloud Imager (ICI) Acquisitions?. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–22. 2 indexed citations
4.
Torcasio, Rosa Claudia, et al.. (2021). Impact of Lightning Data Assimilation on the Short-Term Precipitation Forecast over the Central Mediterranean Sea. Remote Sensing. 13(4). 682–682. 22 indexed citations
5.
Montopoli, Mario, Kamil Mróz, Giulia Panegrossi, et al.. (2020). Quality Assessment of Space-Borne Active and Passive Microwave Snowfall Products Over the Continental United States. 1 indexed citations
6.
Rysman, Jean‐François, Giulia Panegrossi, Paolo Sanò, et al.. (2019). Retrieving Surface Snowfall With the GPM Microwave Imager: A New Module for the SLALOM Algorithm. Geophysical Research Letters. 46(22). 13593–13601. 26 indexed citations
7.
D’Adderio, Leo Pio, Federico Porcù, Giulia Panegrossi, et al.. (2019). Comparison of the GPM DPR Single- and Double-Frequency Products Over the Mediterranean Area. IEEE Transactions on Geoscience and Remote Sensing. 57(12). 9724–9739. 7 indexed citations
8.
Marra, Anna Cinzia, Stefano Federico, Mario Montopoli, et al.. (2019). The Precipitation Structure of the Mediterranean Tropical-Like Cyclone Numa: Analysis of GPM Observations and Numerical Weather Prediction Model Simulations. Remote Sensing. 11(14). 1690–1690. 36 indexed citations
9.
Rysman, Jean‐François, Giulia Panegrossi, Paolo Sanò, et al.. (2018). SLALOM: An All-Surface Snow Water Path Retrieval Algorithm for the GPM Microwave Imager. Remote Sensing. 10(8). 1278–1278. 33 indexed citations
10.
Barbieri, S., Daniel Vila, Silvia Puca, et al.. (2018). Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil. Remote Sensing. 10(11). 1743–1743. 4 indexed citations
11.
Milani, Lisa, Mark S. Kulie, Daniele Casella, et al.. (2018). CloudSat snowfall estimates over Antarctica and the Southern Ocean: An assessment of independent retrieval methodologies and multi-year snowfall analysis. Atmospheric Research. 213. 121–135. 52 indexed citations
12.
Federico, Stefano, Marco Petracca, Giulia Panegrossi, & Stefano Dietrich. (2017). Improvement of RAMS precipitation forecast at the short-range through lightning data assimilation. Natural hazards and earth system sciences. 17(1). 61–76. 16 indexed citations
13.
Federico, Stefano, et al.. (2017). Impact of the assimilation of lightning data on the precipitation forecast at different forecast ranges. Advances in science and research. 14. 187–194. 12 indexed citations
14.
15.
Casella, Daniele, Giulia Panegrossi, Paolo Sanò, et al.. (2015). A novel algorithm for detection of precipitation in tropical regions using PMW radiometers. Atmospheric measurement techniques. 8(3). 1217–1232. 12 indexed citations
16.
Sanò, Paolo, Giulia Panegrossi, Daniele Casella, et al.. (2015). The Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for AMSU/MHS observations: description and application to European case studies. Atmospheric measurement techniques. 8(2). 837–857. 53 indexed citations
17.
Milani, Lisa, Federico Porcù, Daniele Casella, et al.. (2015). Analysis of long-term precipitation pattern over Antarctica derived from satellite-borne radar. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 6 indexed citations
18.
Davolio, Silvio, Rossella Ferretti, Luca Baldini, et al.. (2015). The role of the Italian scientific community in the first HyMeX SOP: an outstanding multidisciplinary experience. Meteorologische Zeitschrift. 24(3). 261–267. 13 indexed citations
19.
Panegrossi, Giulia, Daniele Casella, Stefano Dietrich, et al.. (2013). Using a cloud electrification model to study relationships between lightning activity and cloud microphysical structure. Natural hazards and earth system sciences. 13(4). 1085–1104. 18 indexed citations
20.
Panegrossi, Giulia, Stefano Dietrich, Frank S. Marzano, et al.. (1998). Use of Cloud Model Microphysics for Passive Microwave-Based Precipitation Retrieval: Significance of Consistency between Model and Measurement Manifolds. Journal of the Atmospheric Sciences. 55(9). 1644–1673. 91 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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