Stefano Dietrich

3.3k total citations
111 papers, 1.8k citations indexed

About

Stefano Dietrich is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, Stefano Dietrich has authored 111 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Atmospheric Science, 47 papers in Global and Planetary Change and 24 papers in Astronomy and Astrophysics. Recurrent topics in Stefano Dietrich's work include Meteorological Phenomena and Simulations (68 papers), Precipitation Measurement and Analysis (44 papers) and Climate variability and models (24 papers). Stefano Dietrich is often cited by papers focused on Meteorological Phenomena and Simulations (68 papers), Precipitation Measurement and Analysis (44 papers) and Climate variability and models (24 papers). Stefano Dietrich collaborates with scholars based in Italy, United States and Germany. Stefano Dietrich's co-authors include Giulia Panegrossi, Paolo Sanò, Daniele Casella, C. Bauer, B. Groh, Anna Cinzia Marra, Stefano Federico, Francesco Di Paola, Federico Porcù and A. Mugnai and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and PLANT PHYSIOLOGY.

In The Last Decade

Stefano Dietrich

106 papers receiving 1.8k citations

Peers

Stefano Dietrich
Andreas Macke Germany
Alexander B. Kostinski United States
Susanne Horn Germany
Thomas E. Taylor United States
Paul Konopka Germany
David A. Schecter United States
R. G. Pinnick United States
Michael Kahnert Sweden
Timo Nousiainen Finland
Andreas Macke Germany
Stefano Dietrich
Citations per year, relative to Stefano Dietrich Stefano Dietrich (= 1×) peers Andreas Macke

Countries citing papers authored by Stefano Dietrich

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Dietrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Dietrich

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Dietrich. A scholar is included among the top collaborators of Stefano Dietrich 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 Stefano Dietrich. Stefano Dietrich 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
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Arnone, Enrico, et al.. (2022). A Joint LINET and ISS-LIS View of Lightning Distribution over the Mt. Cimone Area within the GAMMA-FLASH Program. Remote Sensing. 14(14). 3501–3501. 3 indexed citations
3.
Federico, Stefano, Rosa Claudia Torcasio, Martina Lagasio, et al.. (2022). A Year-Long Total Lightning Forecast over Italy with a Dynamic Lightning Scheme and WRF. Remote Sensing. 14(14). 3244–3244. 4 indexed citations
4.
D’Adderio, Leo Pio, Stefano Federico, M. Marisaldi, et al.. (2021). Time Evolution of Storms Producing Terrestrial Gamma-Ray Flashes Using ERA5 Reanalysis Data, GPS, Lightning and Geostationary Satellite Observations. Remote Sensing. 13(4). 784–784. 6 indexed citations
5.
Torcasio, Rosa Claudia, et al.. (2020). Application of Lightning Data Assimilation for the 10 October 2018 Case Study over Sardinia. Atmosphere. 11(5). 541–541. 3 indexed citations
6.
Federico, Stefano, Rosa Claudia Torcasio, Elenio Avolio, et al.. (2019). The impact of lightning and radar reflectivity factor data assimilation on the very short-term rainfall forecasts of RAMS@ISAC: application to two case studies in Italy. Natural hazards and earth system sciences. 19(8). 1839–1864. 30 indexed citations
7.
Federico, Stefano, Elenio Avolio, Rosa Claudia Torcasio, et al.. (2019). Data assimilation of GPS-ZTD into the RAMS model through 3D-Var: preliminary results at the regional scale. Measurement Science and Technology. 30(5). 55801–55801. 16 indexed citations
8.
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
9.
Dietrich, Stefano, et al.. (2019). Gamma ray storms: preliminary meteorological analysis of AGILE TGFs. RENDICONTI LINCEI. 30(S1). 259–263. 3 indexed citations
10.
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
11.
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
12.
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
13.
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
14.
Porcù, Federico, et al.. (2017). Observing relationships between lightning and cloud profiles by means of a satellite-borne cloud radar. Atmospheric measurement techniques. 10(1). 221–230. 12 indexed citations
15.
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
16.
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
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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
19.
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
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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