Mattia Stagnaro

558 total citations
17 papers, 306 citations indexed

About

Mattia Stagnaro is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Mattia Stagnaro has authored 17 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 8 papers in Environmental Engineering and 4 papers in Global and Planetary Change. Recurrent topics in Mattia Stagnaro's work include Precipitation Measurement and Analysis (15 papers), Meteorological Phenomena and Simulations (12 papers) and Soil Moisture and Remote Sensing (4 papers). Mattia Stagnaro is often cited by papers focused on Precipitation Measurement and Analysis (15 papers), Meteorological Phenomena and Simulations (12 papers) and Soil Moisture and Remote Sensing (4 papers). Mattia Stagnaro collaborates with scholars based in Italy, United Kingdom and China. Mattia Stagnaro's co-authors include Luca G. Lanza, Matteo Colli, Michele Bolla Pittaluga, Greg O’Donnell, Elizabeth Lewis, Andrew Black, Paul Quinn, Mark E. Wilkinson, Chris Kilsby and P. E. O’Connell and has published in prestigious journals such as Water Resources Research, IEEE Transactions on Geoscience and Remote Sensing and Journal of Hydrology.

In The Last Decade

Mattia Stagnaro

16 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mattia Stagnaro Italy 11 238 129 86 42 26 17 306
Hu Yinqiao China 11 203 0.9× 271 2.1× 95 1.1× 34 0.8× 40 1.5× 34 365
Flemming Vejen Denmark 10 177 0.7× 120 0.9× 67 0.8× 82 2.0× 24 0.9× 14 306
José C. Fernández‐Alvarez Spain 13 285 1.2× 327 2.5× 67 0.8× 35 0.8× 10 0.4× 52 422
Romain Biron France 7 129 0.5× 62 0.5× 44 0.5× 29 0.7× 6 0.2× 13 184
Olivier Traullé France 9 205 0.9× 201 1.6× 48 0.6× 21 0.5× 13 0.5× 14 278
Michael Buban United States 11 292 1.2× 255 2.0× 119 1.4× 15 0.4× 11 0.4× 22 375
P. Drobinski France 9 367 1.5× 342 2.7× 91 1.1× 28 0.7× 13 0.5× 13 461
N.J. Bink Netherlands 10 144 0.6× 211 1.6× 54 0.6× 69 1.6× 13 0.5× 17 296
D. Césari Italy 9 246 1.0× 251 1.9× 55 0.6× 56 1.3× 13 0.5× 18 364
Albenis Pérez‐Alarcón Cuba 13 305 1.3× 344 2.7× 67 0.8× 35 0.8× 10 0.4× 52 436

Countries citing papers authored by Mattia Stagnaro

Since Specialization
Citations

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

Fields of papers citing papers by Mattia Stagnaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattia Stagnaro

This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Stagnaro. A scholar is included among the top collaborators of Mattia Stagnaro 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 Mattia Stagnaro. Mattia Stagnaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Stagnaro, Mattia, et al.. (2023). Adjustment of 1 min rain gauge time series using co-located drop size distribution and wind speed measurements. Atmospheric measurement techniques. 16(17). 4155–4163. 4 indexed citations
2.
Stagnaro, Mattia, et al.. (2021). Investigation of the Wind-Induced Airflow Pattern Near the Thies LPM Precipitation Gauge. Sensors. 21(14). 4880–4880. 10 indexed citations
3.
Lanza, Luca G., Andrea Merlone, Mattia Stagnaro, et al.. (2021). Calibration of non‐catching precipitation measurement instruments: A review. Meteorological Applications. 28(3). 19 indexed citations
4.
Stagnaro, Mattia, et al.. (2021). On the Use of Dynamic Calibration to Correct Drop Counter Rain Gauge Measurements. Sensors. 21(18). 6321–6321. 3 indexed citations
5.
Stagnaro, Mattia, et al.. (2021). Wind Tunnel Validation of a Particle Tracking Model to Evaluate the Wind‐Induced Bias of Precipitation Measurements. Water Resources Research. 57(7). 12 indexed citations
6.
Stagnaro, Mattia, et al.. (2021). Experimental evidence of the wind-induced bias of precipitation gauges using particle image velocimetry and particle tracking in the wind tunnel. Journal of Hydrology. 600. 126690–126690. 18 indexed citations
7.
Stagnaro, Mattia, et al.. (2021). Snow Particle Collection Efficiency and Adjustment Curves for the Hotplate Precipitation Gauge. Journal of Hydrometeorology. 22(4). 941–954. 9 indexed citations
8.
Colli, Matteo, Mattia Stagnaro, Luca G. Lanza, Roy Rasmussen, & Julie M. Thériault. (2020). Adjustments for Wind-Induced Undercatch in Snowfall Measurements Based on Precipitation Intensity. Journal of Hydrometeorology. 21(5). 1039–1050. 24 indexed citations
9.
Colli, Matteo, et al.. (2019). The Role of Free-Stream Turbulence in Attenuating the Wind Updraft above the Collector of Precipitation Gauges. Journal of Atmospheric and Oceanic Technology. 37(1). 103–113. 13 indexed citations
10.
Colli, Matteo, Mattia Stagnaro, Luca G. Lanza, Roy Rasmussen, & Julie M. Thériault. (2018). Using Snowfall Intensity to Improve the Correction of Wind-Induced Undercatch in Solid Precipitation Measurements. Biogeosciences (European Geosciences Union). 2 indexed citations
11.
Colli, Matteo, et al.. (2018). A Computational Fluid‐Dynamics Assessment of the Improved Performance of Aerodynamic Rain Gauges. Water Resources Research. 54(2). 779–796. 24 indexed citations
12.
Colli, Matteo, Mattia Stagnaro, Luca G. Lanza, et al.. (2018). A Field Assessment of a Rain Estimation System Based on Satellite-to-Earth Microwave Links. IEEE Transactions on Geoscience and Remote Sensing. 57(5). 2864–2875. 16 indexed citations
13.
O’Donnell, Greg, Paul Quinn, Andrew Black, et al.. (2018). Quantifying and Mitigating Wind‐Induced Undercatch in Rainfall Measurements. Water Resources Research. 54(6). 3863–3875. 110 indexed citations
14.
Stagnaro, Mattia, Matteo Colli, Luca G. Lanza, & Pak Wai Chan. (2016). Performance of post-processing algorithms for rainfall intensity using measurements from tipping-bucket rain gauges. Atmospheric measurement techniques. 9(12). 5699–5706. 16 indexed citations
15.
Stagnaro, Mattia, Matteo Colli, Luca G. Lanza, & Pak Wai Chan. (2016). Assessing rainfall intensity calculation algorithms for tipping-bucket rain gauges at a field test site.. CINECA IRIS Institutial Research Information System (University of Genoa). 15321–15321.
16.
Colli, Matteo, Greg O’Donnell, Andrew Black, et al.. (2015). Evaluating wind-induced uncertainty on rainfall measurements by means of CFD modelling and field observations. 181–186. 1 indexed citations
17.
Stagnaro, Mattia & Michele Bolla Pittaluga. (2014). Velocity and concentration profiles of saline and turbidity currents flowing in a straight channel under quasi-uniform conditions. Earth Surface Dynamics. 2(1). 167–180. 25 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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