Mattia Stagnaro

558 citations
17 papers · 306 indexed · h-index 11
Topics
Precipitation Measurement and Analysis (15 papers)Meteorological Phenomena and Simulations (12 papers)Soil Moisture and Remote Sensing (4 papers)
Partner nations
ItalyUnited KingdomChina

In The Last Decade

Mattia Stagnaro

16 papers receiving 306 citations

Peers

Mattia Stagnaro
Comparison fields: 5 of 38
  • Atmospheric Science 238
  • Global and Planetary Change 129
  • Environmental Engineering 86
  • Water Science and Technology 42
  • Earth-Surface Processes 26
Replace Flemming Vejen with:
Flemming Vejen Denmark
Hu Yinqiao China
D. Césari Italy
José C. Fernández‐Alvarez Spain
Albenis Pérez‐Alarcón Cuba
Olivier Traullé France
Michael Buban United States
N.J. Bink Netherlands
Romain Biron France
Frédérique Saïd France
Mattia Stagnaro relative to Flemming Vejen Denmark Flemming Vejen's profile →
Citations per field
00.5×3.1×
Flemming Vejen · 1×
Citations per year

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
#WorkIndexed citations
1 4
2 19
3 3
4 10
5 12
6 18
7 9
8 24
9 13
10 24
11 110
12 16
13 2
14 16
15
Assessing rainfall intensity calculation algorithms for tipping-bucket rain gauges at a field test site.
0
16
Evaluating wind-induced uncertainty on rainfall measurements by means of CFD modelling and field observations
1
17 25

About Mattia Stagnaro

Mattia Stagnaro is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change, having authored 17 papers that have together received 306 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (15 papers), Meteorological Phenomena and Simulations (12 papers) and Soil Moisture and Remote Sensing (4 papers). The work is most often cited by research in Atmospheric Science (238 citations), Global and Planetary Change (129 citations) and Environmental Engineering (86 citations). Mattia Stagnaro has collaborated with scholars based in Italy, United Kingdom and China. Frequent co-authors include Luca G. Lanza, Matteo Colli, Michele Bolla Pittaluga, Chris Kilsby, Paul Quinn, Greg O’Donnell, Elizabeth Lewis, Mark E. Wilkinson, P. E. O’Connell and Andrew Black. Their work appears in journals such as Water Resources Research, IEEE Transactions on Geoscience and Remote Sensing and Journal of Hydrology.

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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