Renzo Bechini

740 total citations
20 papers, 525 citations indexed

About

Renzo Bechini is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Renzo Bechini has authored 20 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 10 papers in Environmental Engineering and 8 papers in Global and Planetary Change. Recurrent topics in Renzo Bechini's work include Precipitation Measurement and Analysis (15 papers), Meteorological Phenomena and Simulations (13 papers) and Soil Moisture and Remote Sensing (9 papers). Renzo Bechini is often cited by papers focused on Precipitation Measurement and Analysis (15 papers), Meteorological Phenomena and Simulations (13 papers) and Soil Moisture and Remote Sensing (9 papers). Renzo Bechini collaborates with scholars based in United States, Italy and Greece. Renzo Bechini's co-authors include V. Chandrasekar, Haonan Chen, Roberto Cremonini, Marco Borga, Marco Sangati, D. Rabuffetti, Claudio Cassardo, Paolo Davini, Jeffrey A. Nystuen and Marios N. Anagnostou and has published in prestigious journals such as Remote Sensing, Advances in Water Resources and Journal of Atmospheric and Oceanic Technology.

In The Last Decade

Renzo Bechini

20 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renzo Bechini United States 12 422 243 180 75 53 20 525
Kinji Furukawa Japan 7 749 1.8× 382 1.6× 208 1.2× 45 0.6× 100 1.9× 27 837
Jacopo Grazioli Switzerland 14 544 1.3× 325 1.3× 119 0.7× 35 0.5× 19 0.4× 33 649
Kevin Kelleher United States 6 756 1.8× 548 2.3× 186 1.0× 57 0.8× 59 1.1× 10 833
Yixin Wen United States 17 615 1.5× 354 1.5× 222 1.2× 97 1.3× 27 0.5× 54 721
David Fairbairn United Kingdom 11 384 0.9× 375 1.5× 252 1.4× 88 1.2× 54 1.0× 18 534
Christophe Accadia Germany 12 514 1.2× 422 1.7× 67 0.4× 33 0.4× 129 2.4× 30 631
M. Klein United States 16 712 1.7× 175 0.7× 433 2.4× 41 0.5× 45 0.8× 44 840
Clive Pierce United Kingdom 8 639 1.5× 539 2.2× 101 0.6× 85 1.1× 24 0.5× 11 712
Mircea Grecu United States 20 962 2.3× 532 2.2× 266 1.5× 50 0.7× 64 1.2× 36 1.0k
Daniel Leuenberger Switzerland 11 582 1.4× 489 2.0× 120 0.7× 37 0.5× 43 0.8× 22 676

Countries citing papers authored by Renzo Bechini

Since Specialization
Citations

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

Fields of papers citing papers by Renzo Bechini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renzo Bechini

This figure shows the co-authorship network connecting the top 25 collaborators of Renzo Bechini. A scholar is included among the top collaborators of Renzo Bechini 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 Renzo Bechini. Renzo Bechini 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.
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
2.
Chandrasekar, V., et al.. (2023). Introduction to Dual Polarization Weather Radar. Cambridge University Press eBooks. 13 indexed citations
3.
Adirosi, Elisa, Federico Porcù, Mario Montopoli, et al.. (2023). Database of the Italian disdrometer network. Earth system science data. 15(6). 2417–2429. 7 indexed citations
4.
Adirosi, Elisa, Mario Montopoli, Alessandro Bracci, et al.. (2021). Validation of GPM Rainfall and Drop Size Distribution Products through Disdrometers in Italy. Remote Sensing. 13(11). 2081–2081. 29 indexed citations
5.
Chandrasekar, V., et al.. (2019). Origin and Nature of Electromagnetic Interference in X-band Weather Radars. 1–1. 2 indexed citations
6.
Bechini, Renzo, et al.. (2019). Survey on Electromagnetic Interference in Weather Radars in Northwestern Italy. Environments. 6(12). 126–126. 5 indexed citations
7.
Chen, Haonan, V. Chandrasekar, & Renzo Bechini. (2017). An Improved Dual-Polarization Radar Rainfall Algorithm (DROPS2.0): Application in NASA IFloodS Field Campaign. Journal of Hydrometeorology. 18(4). 917–937. 87 indexed citations
8.
Bechini, Renzo & V. Chandrasekar. (2017). An Enhanced Optical Flow Technique for Radar Nowcasting of Precipitation and Winds. Journal of Atmospheric and Oceanic Technology. 34(12). 2637–2658. 37 indexed citations
9.
Bechini, Renzo, et al.. (2016). An integrated approach to monitoring the calibration stability of operational dual-polarization radars. Atmospheric measurement techniques. 9(11). 5367–5383. 8 indexed citations
10.
Panegrossi, Giulia, Daniele Casella, Stefano Dietrich, et al.. (2016). Use of the GPM Constellation for Monitoring Heavy Precipitation Events Over the Mediterranean Region. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(6). 2733–2753. 41 indexed citations
11.
Bechini, Renzo, V. Chandrasekar, & Juanzhen Sun. (2015). Four-dimensional variational data assimilation of high resolution X-band radar observations over the Dallas-Fort Worth metroplex. 3953–3956. 2 indexed citations
12.
Pensieri, Sara, Roberto Bozzano, Jeffrey A. Nystuen, et al.. (2015). Underwater Acoustic Measurements to Estimate Wind and Rainfall in the Mediterranean Sea. Advances in Meteorology. 2015. 1–18. 31 indexed citations
13.
Bechini, Renzo & V. Chandrasekar. (2014). A Semisupervised Robust Hydrometeor Classification Method for Dual-Polarization Radar Applications. Journal of Atmospheric and Oceanic Technology. 32(1). 22–47. 76 indexed citations
14.
Pensieri, Sara, et al.. (2013). Monitoring the oceanic environment through passive underwater acoustics. 7 indexed citations
15.
Bechini, Renzo. (2011). Observations of KDP in the ice region of precipitating clouds at X-band and C-band radar frequencies. 4 indexed citations
16.
Davini, Paolo, Renzo Bechini, Roberto Cremonini, & Claudio Cassardo. (2011). Radar-Based Analysis of Convective Storms over Northwestern Italy. Atmosphere. 3(1). 33–58. 42 indexed citations
17.
Bechini, R., et al.. (2010). Radome attenuation at X-band radar operations. 12 indexed citations
18.
Cremonini, Roberto & Renzo Bechini. (2010). Heavy Rainfall Monitoring by Polarimetric C-Band Weather Radars. Water. 2(4). 838–848. 12 indexed citations
19.
Sangati, Marco, Marco Borga, D. Rabuffetti, & Renzo Bechini. (2009). Influence of rainfall and soil properties spatial aggregation on extreme flash flood response modelling: An evaluation based on the Sesia river basin, North Western Italy. Advances in Water Resources. 32(7). 1090–1106. 84 indexed citations
20.
Bechini, Renzo, Dario Giaiotti, Agostino Manzato, Fulvio Stel, & Stefano Micheletti. (2001). The June 4th 1999 severe weather episode in San Quirino, Italy: a tornado event?. Atmospheric Research. 56(1-4). 213–232. 23 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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