U. Giostra

1.3k total citations
47 papers, 936 citations indexed

About

U. Giostra is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, U. Giostra has authored 47 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 24 papers in Global and Planetary Change and 22 papers in Environmental Engineering. Recurrent topics in U. Giostra's work include Wind and Air Flow Studies (22 papers), Atmospheric chemistry and aerosols (16 papers) and Fluid Dynamics and Turbulent Flows (12 papers). U. Giostra is often cited by papers focused on Wind and Air Flow Studies (22 papers), Atmospheric chemistry and aerosols (16 papers) and Fluid Dynamics and Turbulent Flows (12 papers). U. Giostra collaborates with scholars based in Italy, United States and United Kingdom. U. Giostra's co-authors include Daniela Cava, Massimo Cassiani, Gabriel G. Katul, Pasquale Franzese, Luca Mortarini, D. Anfossi, Mario Siqueira, Otávio C. Acevedo, Michela Maione and Jgor Arduini and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Computational Physics.

In The Last Decade

U. Giostra

46 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U. Giostra Italy 21 525 511 487 320 143 47 936
Luca Mortarini Italy 16 512 1.0× 408 0.8× 427 0.9× 202 0.6× 82 0.6× 64 775
Daniela Cava Italy 21 533 1.0× 754 1.5× 449 0.9× 386 1.2× 37 0.3× 44 1.0k
D. S. Henn United States 14 403 0.8× 265 0.5× 369 0.8× 270 0.8× 86 0.6× 22 697
Tirtha Banerjee United States 17 224 0.4× 568 1.1× 198 0.4× 179 0.6× 31 0.2× 52 754
W. L. Physick Australia 19 606 1.2× 449 0.9× 333 0.7× 52 0.2× 206 1.4× 36 892
Stephan R. de Roode Netherlands 25 1.5k 2.8× 1.4k 2.8× 404 0.8× 281 0.9× 55 0.4× 53 1.9k
Xueling Cheng China 13 524 1.0× 361 0.7× 275 0.6× 66 0.2× 290 2.0× 46 718
Robert E. Lawson United States 13 298 0.6× 160 0.3× 487 1.0× 145 0.5× 83 0.6× 29 690
Marco G. Giometto United States 12 240 0.5× 177 0.3× 500 1.0× 190 0.6× 134 0.9× 43 681
Thara Prabhakaran India 14 757 1.4× 760 1.5× 209 0.4× 52 0.2× 131 0.9× 58 957

Countries citing papers authored by U. Giostra

Since Specialization
Citations

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

Fields of papers citing papers by U. Giostra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Giostra

This figure shows the co-authorship network connecting the top 25 collaborators of U. Giostra. A scholar is included among the top collaborators of U. Giostra 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 U. Giostra. U. Giostra 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.
Mortarini, Luca, et al.. (2023). Coherent structures detection within a dense Alpine forest. Agricultural and Forest Meteorology. 343. 109767–109767.
2.
3.
Volta, Marialuisa, U. Giostra, Giorgio Guariso, et al.. (2022). The greatest air quality experiment ever: Policy suggestions from the COVID-19 lockdown in twelve European cities. PLoS ONE. 17(11). e0277428–e0277428. 4 indexed citations
4.
Mortarini, Luca, Daniela Cava, U. Giostra, et al.. (2019). Horizontal Meandering as a Distinctive Feature of the Stable Boundary Layer. Journal of the Atmospheric Sciences. 76(10). 3029–3046. 34 indexed citations
5.
Cava, Daniela, Luca Mortarini, U. Giostra, Otávio C. Acevedo, & Gabriel G. Katul. (2019). Submeso Motions and Intermittent Turbulence Across a Nocturnal Low-Level Jet: A Self-Organized Criticality Analogy. Boundary-Layer Meteorology. 172(1). 17–43. 31 indexed citations
6.
Cava, Daniela, Luca Mortarini, D. Anfossi, & U. Giostra. (2019). Interaction of Submeso Motions in the Antarctic Stable Boundary Layer. Boundary-Layer Meteorology. 171(2). 151–173. 37 indexed citations
7.
Graziosi, Francesco, Jgor Arduini, Paolo Bonasoni, et al.. (2016). Emissions of carbon tetrachloride from Europe. Atmospheric chemistry and physics. 16(20). 12849–12859. 10 indexed citations
8.
Arduini, Jgor, U. Giostra, Francesco Graziosi, et al.. (2016). Anthropogenic non-methane volatile hydrocarbons at Mt. Cimone (2165 m a.s.l., Italy): Impact of sources and transport on atmospheric composition. Atmospheric Environment. 140. 395–403. 5 indexed citations
9.
Maione, Michela, Francesco Graziosi, Jgor Arduini, et al.. (2014). Estimates of European emissions of methyl chloroform using a Bayesian inversion method. Atmospheric chemistry and physics. 14(18). 9755–9770. 17 indexed citations
10.
Maione, Michela, U. Giostra, Jgor Arduini, et al.. (2011). Three-year observations of halocarbons at the Nepal Climate Observatory at Pyramid (NCO-P, 5079 m a.s.l.) on the Himalayan range. Atmospheric chemistry and physics. 11(7). 3431–3441. 7 indexed citations
11.
Giostra, U., Jgor Arduini, Daniela Cava, et al.. (2011). The determination of a “regional” atmospheric background mixing ratio for anthropogenic greenhouse gases: A comparison of two independent methods. Atmospheric Environment. 45(39). 7396–7405. 29 indexed citations
12.
Cava, Daniela, et al.. (2008). On the Anomalous Behaviour of Scalar Flux–Variance Similarity Functions Within the Canopy Sub-layer of a Dense Alpine Forest. Boundary-Layer Meteorology. 128(1). 33–57. 47 indexed citations
13.
Maione, Michela, et al.. (2007). Localization of source regions of selected hydrofluorocarbons combining data collected at two European mountain stations. The Science of The Total Environment. 391(2-3). 232–240. 13 indexed citations
14.
Cassiani, Massimo, et al.. (2006). An efficient algorithm for scalar PDF modelling in incompressible turbulent flow; numerical analysis with evaluation of IEM and IECM micro-mixing models. Journal of Computational Physics. 223(2). 519–550. 27 indexed citations
15.
Cava, Daniela, et al.. (2006). Buoyancy and The Sensible Heat Flux Budget Within Dense Canopies. Boundary-Layer Meteorology. 118(1). 217–240. 63 indexed citations
16.
Rizza, Umberto, Massimo Cassiani, U. Giostra, & Cristina Mangia. (2000). An Advanced Puff Model Based On A Mixed Eulerian/Lagrangian Approach For Turbulent Dispersion In The Convective Boundary Layer. Boundary-Layer Meteorology. 95(2). 319–339. 2 indexed citations
17.
Cassiani, Massimo & U. Giostra. (1999). Eulerian-Lagrangian modelling of dispersion in a convective boundary layer. CINECA IRIS Institutional Research information system (University of Urbino). 1 indexed citations
18.
Anfossi, D., Enrico Ferrero, G. Brusasca, et al.. (1992). Dispersion simulation of a wind tunnel experiment with Lagrangian particle models. Il Nuovo Cimento C. 15(2). 139–158. 11 indexed citations
19.
Giostra, U., et al.. (1990). Dynamical Criteria Determining Lee Cyclogenesis. Journal of the Atmospheric Sciences. 47(20). 2400–2408. 7 indexed citations
20.
Giostra, U. & Francesco Tampieri. (1988). Development of a boundary layer model for evaluation of dispersion in complex terrain. Il Nuovo Cimento C. 11(5-6). 549–564. 1 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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