Paolo Sanò

1.6k total citations
61 papers, 1.0k citations indexed

About

Paolo Sanò is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Paolo Sanò has authored 61 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Atmospheric Science, 24 papers in Global and Planetary Change and 17 papers in Environmental Engineering. Recurrent topics in Paolo Sanò's work include Meteorological Phenomena and Simulations (49 papers), Precipitation Measurement and Analysis (42 papers) and Soil Moisture and Remote Sensing (16 papers). Paolo Sanò is often cited by papers focused on Meteorological Phenomena and Simulations (49 papers), Precipitation Measurement and Analysis (42 papers) and Soil Moisture and Remote Sensing (16 papers). Paolo Sanò collaborates with scholars based in Italy, United States and France. Paolo Sanò's co-authors include Daniele Casella, Giulia Panegrossi, Stefano Dietrich, Anna Cinzia Marra, Mark S. Kulie, A. Mugnai, Francesco Di Paola, Lisa Milani, Jean‐François Rysman and Matteo Petracca and has published in prestigious journals such as Geophysical Research Letters, IEEE Transactions on Geoscience and Remote Sensing and Journal of Hydrology.

In The Last Decade

Paolo Sanò

60 papers receiving 1.0k citations

Peers

Paolo Sanò
N. Asencio France
Patrick Gatlin United States
Christopher Grassotti United States
J. Duron France
Alberto Mugnai United States
Paolo Sanò
Citations per year, relative to Paolo Sanò Paolo Sanò (= 1×) peers Damien Boulanger

Countries citing papers authored by Paolo Sanò

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Sanò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Sanò

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Sanò. A scholar is included among the top collaborators of Paolo Sanò 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 Paolo Sanò. Paolo Sanò 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.
D’Adderio, Leo Pio, Silvia Puca, Gianfranco Vulpiani, et al.. (2020). RAINBOW: An Operational Oriented Combined IR-Algorithm. Remote Sensing. 12(15). 2444–2444. 1 indexed citations
5.
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
6.
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
7.
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
8.
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
9.
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
10.
Campanelli, Monica, Paolo Sanò, Henri Diémoz, et al.. (2018). Precipitable water vapour content from ESR/SKYNET sun–sky radiometers: validation against GNSS/GPS and AERONET over three different sites in Europe. Atmospheric measurement techniques. 11(1). 81–94. 20 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, Rosa Claudia Torcasio, Paolo Sanò, et al.. (2017). Comparison of hourly surface downwelling solar radiation estimated from MSG–SEVIRI and forecast by the RAMS model with pyranometers over Italy. Atmospheric measurement techniques. 10(6). 2337–2352. 15 indexed citations
13.
Ursi, A., Paolo Sanò, Daniele Casella, et al.. (2016). A pipeline to link meteorological information and TGFs detected by AGILE. Journal of Geophysical Research Space Physics. 122(2). 2300–2309. 2 indexed citations
14.
15.
Roberto, Nicoletta, Elisa Adirosi, Luca Baldini, et al.. (2016). Multi-sensor analysis of convective activity in central Italy during the HyMeX SOP 1.1. Atmospheric measurement techniques. 9(2). 535–552. 21 indexed citations
16.
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
17.
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
18.
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
19.
Roberto, Nicoletta, Elisa Adirosi, Daniele Casella, et al.. (2014). Investigation of a convection event using multisensor observations during HyMeX SOP1. EGU General Assembly Conference Abstracts. 12272. 1 indexed citations
20.
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

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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