Davide Ori

826 total citations
24 papers, 383 citations indexed

About

Davide Ori is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Davide Ori has authored 24 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 14 papers in Global and Planetary Change and 2 papers in Environmental Engineering. Recurrent topics in Davide Ori's work include Precipitation Measurement and Analysis (15 papers), Meteorological Phenomena and Simulations (15 papers) and Atmospheric aerosols and clouds (13 papers). Davide Ori is often cited by papers focused on Precipitation Measurement and Analysis (15 papers), Meteorological Phenomena and Simulations (15 papers) and Atmospheric aerosols and clouds (13 papers). Davide Ori collaborates with scholars based in Germany, United States and Italy. Davide Ori's co-authors include Stefan Kneifel, Annakaisa von Lerber, Dmitri Moisseev, José Dias Neto, Frank S. Marzano, Axel Seifert, Vera Schemann, Maximilian Maahn, Mario Mech and Alexander Myagkov and has published in prestigious journals such as Atmospheric chemistry and physics, Bulletin of the American Meteorological Society and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Davide Ori

20 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davide Ori Germany 13 357 249 38 37 32 24 383
P. R. A. Brown United Kingdom 6 304 0.9× 311 1.2× 19 0.5× 23 0.6× 17 0.5× 7 338
Alfons Schwarzenböck France 11 278 0.8× 276 1.1× 57 1.5× 28 0.8× 12 0.4× 22 304
David M. Babb United States 8 356 1.0× 331 1.3× 67 1.8× 16 0.4× 31 1.0× 16 382
Jeffrey D. Cetola United States 8 273 0.8× 248 1.0× 39 1.0× 10 0.3× 41 1.3× 11 301
Karly J. Reimel United States 4 306 0.9× 266 1.1× 29 0.8× 17 0.5× 27 0.8× 4 345
Alexander Myagkov Germany 7 232 0.6× 217 0.9× 58 1.5× 30 0.8× 14 0.4× 19 254
Aleksandra Tatarevic Canada 11 279 0.8× 250 1.0× 18 0.5× 10 0.3× 29 0.9× 15 304
Jun‐Ichi Yano France 7 382 1.1× 371 1.5× 51 1.3× 9 0.2× 26 0.8× 15 413
Shaun Parkinson United States 9 253 0.7× 247 1.0× 82 2.2× 15 0.4× 10 0.3× 13 299
Lutz Hirsch Germany 8 319 0.9× 318 1.3× 62 1.6× 20 0.5× 18 0.6× 15 350

Countries citing papers authored by Davide Ori

Since Specialization
Citations

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

Fields of papers citing papers by Davide Ori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Ori

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Ori. A scholar is included among the top collaborators of Davide Ori 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 Davide Ori. Davide Ori 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.
Wendisch, Manfred, Davide Ori, Matthew D. Shupe, et al.. (2025). Observed and modeled Arctic airmass transformations during warm air intrusions and cold air outbreaks. Atmospheric chemistry and physics. 25(21). 15047–15076.
2.
Ewald, Florian, Heike Konow, Mario Mech, et al.. (2025). Moisture budget estimates derived from airborne observations in an Arctic atmospheric river during its dissipation. Atmospheric chemistry and physics. 25(14). 8329–8354. 1 indexed citations
3.
Myagkov, Alexander, Maximilian Maahn, Teresa Vogl, et al.. (2025). Investigating KDP signatures inside and below the dendritic growth layer with W-band Doppler radar and in situ snowfall camera. Atmospheric chemistry and physics. 25(20). 14045–14070.
4.
5.
Ori, Davide, et al.. (2024). Microphysical processes involving the vapour phase dominate in simulated low-level Arctic clouds. Atmospheric chemistry and physics. 24(17). 10039–10053. 1 indexed citations
6.
Myagkov, Alexander & Davide Ori. (2022). Analytic characterization of random errors in spectral dual-polarized cloud radar observations. Atmospheric measurement techniques. 15(5). 1333–1354. 2 indexed citations
7.
Neto, José Dias, et al.. (2022). Ice microphysical processes in the dendritic growth layer: a statistical analysis combining multi-frequency and polarimetric Doppler cloud radar observations. Atmospheric chemistry and physics. 22(17). 11795–11821. 26 indexed citations
8.
Seifert, Axel, et al.. (2021). Improving the representation of aggregation in a two-moment microphysical scheme with statistics of multi-frequency Doppler radar observations. Atmospheric chemistry and physics. 21(22). 17133–17166. 15 indexed citations
9.
10.
Mróz, Kamil, et al.. (2021). Linking rain into ice microphysics across the melting layer in stratiform rain: a closure study. Atmospheric measurement techniques. 14(1). 511–529. 22 indexed citations
11.
Myagkov, Alexander & Davide Ori. (2021). Analytic characterization of random errors in spectral dual-polarized cloud radar observations. 1 indexed citations
12.
Seifert, Axel, et al.. (2020). Ice Particle Properties Inferred From Aggregation Modelling. Journal of Advances in Modeling Earth Systems. 12(8). 15 indexed citations
13.
Gong, Jie, Xiping Zeng, Dong L. Wu, et al.. (2020). Linkage among ice crystal microphysics, mesoscale dynamics, and cloud and precipitation structures revealed by collocated microwave radiometer and multifrequency radar observations. Atmospheric chemistry and physics. 20(21). 12633–12653. 19 indexed citations
14.
Mech, Mario, Maximilian Maahn, Stefan Kneifel, et al.. (2020). PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere. Geoscientific model development. 13(9). 4229–4251. 47 indexed citations
15.
Mech, Mario, Maximilian Maahn, Davide Ori, & Emiliano Orlandi. (2019). PAMTRA: Passive and Active Microwave TRAnsfer tool v1.0. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
16.
Neto, José Dias, Stefan Kneifel, Davide Ori, et al.. (2019). The TRIple-frequency and Polarimetric radar Experiment for improving process observations of winter precipitation. Earth system science data. 11(2). 845–863. 42 indexed citations
17.
Lerber, Annakaisa von, et al.. (2018). Snowfall retrieval at X, Ka and W bands: consistency of backscattering and microphysical properties using BAECC ground-based measurements. Atmospheric measurement techniques. 11(5). 3059–3079. 32 indexed citations
18.
Tiira, Jussi, Dmitri Moisseev, Annakaisa von Lerber, et al.. (2016). Bulk density and its connection to other microphysical properties of snow as observed in Southern Finland. 3 indexed citations
19.
Tiira, Jussi, Dmitri Moisseev, Annakaisa von Lerber, et al.. (2016). Ensemble mean density and its connection to other microphysical properties of falling snow as observed in Southern Finland. Atmospheric measurement techniques. 9(9). 4825–4841. 49 indexed citations
20.
Ori, Davide, Tiziano Maestri, R. Rizzi, et al.. (2014). Scattering properties of modeled complex snowflakes and mixed‐phase particles at microwave and millimeter frequencies. Journal of Geophysical Research Atmospheres. 119(16). 9931–9947. 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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2026