G. Brusasca

890 total citations
35 papers, 628 citations indexed

About

G. Brusasca is a scholar working on Environmental Engineering, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, G. Brusasca has authored 35 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Environmental Engineering, 21 papers in Atmospheric Science and 12 papers in Health, Toxicology and Mutagenesis. Recurrent topics in G. Brusasca's work include Wind and Air Flow Studies (23 papers), Air Quality and Health Impacts (12 papers) and Atmospheric chemistry and aerosols (10 papers). G. Brusasca is often cited by papers focused on Wind and Air Flow Studies (23 papers), Air Quality and Health Impacts (12 papers) and Atmospheric chemistry and aerosols (10 papers). G. Brusasca collaborates with scholars based in Italy. G. Brusasca's co-authors include G. Tinarelli, D. Anfossi, Sandro Finardi, G. Calori, Camillo Silibello, Enrico Ferrero, Francesco Tampieri, F. Trombetti, Elisa Peroni and Elisabetta Angelino and has published in prestigious journals such as The Science of The Total Environment, Atmospheric Environment and Solar Energy.

In The Last Decade

G. Brusasca

35 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Brusasca Italy	15	414	346	282	158	70	35	628
G. Tinarelli Italy	18	532 1.3×	370 1.1×	353 1.3×	194 1.2×	110 1.6×	56	783
F. L. Ludwig United States	14	318 0.8×	428 1.2×	207 0.7×	245 1.6×	106 1.5×	51	760
J.S. Scire United States	9	232 0.6×	265 0.8×	151 0.5×	161 1.0×	51 0.7×	19	449
C.M. Sheih United States	9	385 0.9×	212 0.6×	172 0.6×	131 0.8×	61 0.9×	33	563
F. A. Gifford United States	13	427 1.0×	349 1.0×	171 0.6×	290 1.8×	59 0.8×	34	771
Jenny Stocker United Kingdom	17	609 1.5×	297 0.9×	559 2.0×	115 0.7×	201 2.9×	46	939
David G. Strimaitis United States	8	431 1.0×	312 0.9×	118 0.4×	200 1.3×	35 0.5×	20	691
John S. Irwin United States	15	703 1.7×	675 2.0×	463 1.6×	379 2.4×	137 2.0×	37	1.2k
Robert J. Paine United States	9	617 1.5×	451 1.3×	511 1.8×	194 1.2×	249 3.6×	27	979
Seung‐Bu Park South Korea	16	690 1.7×	414 1.2×	261 0.9×	289 1.8×	45 0.6×	35	928

Countries citing papers authored by G. Brusasca

Since Specialization

Citations

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

Fields of papers citing papers by G. Brusasca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Brusasca

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

All Works

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20 of 20 papers shown

Finardi, Sandro, et al.. (2014). A 2–D meteorological pre–processor for real–time 3–D ATD models. International Journal of Environment and Pollution. 5 indexed citations

Silibello, Camillo, G. Brusasca, Antonio Piersanti, et al.. (2008). FUTURE EMISSION SCENARIO ANALYSIS OVER ROME URBAN AREA USING COUPLED TRAFFIC ASSIGNMENT AND CHEMICAL TRANSPORT MODELS. University of Zagreb University Computing Centre (SRCE). 43. 124–128. 1 indexed citations

Silibello, Camillo, et al.. (2008). Modelling of PM10 concentrations over Milano urban area using two aerosol modules. Environ Model Softw. 6 indexed citations

Zanini, Gabriele, Fabio Monforti-Ferrario, Lina Vitali, et al.. (2005). The MINNI Project: An Integrated Assessment Modeling System For Policy Making. Congress on Modelling and Simulation. 13 indexed citations

Finardi, Sandro, et al.. (2004). The Influence Of Surface-atmosphere ExchangeProcesses On Ozone Levels. WIT transactions on engineering sciences. 46. 6 indexed citations

Brusasca, G., et al.. (2004). Integrated assessment of traffic impact in an Alpine region. The Science of The Total Environment. 334-335. 465–471. 10 indexed citations

Finardi, Sandro, et al.. (2001). Evaluation of a 3-D flow and pollutant dispersion modelling system to estimate climatological groundlevel concentrations in complex coastal sites. International Journal of Environment and Pollution. 16(1/2/3/4/5/6). 472–472. 10 indexed citations

Anfossi, D., et al.. (1998). TRANSALP 1989 experimental campaign—II. Simulation of a tracer experiment with Lagrangian particle models. Atmospheric Environment. 32(7). 1157–1166. 22 indexed citations

Finardi, Sandro, F. Trombetti, Francesco Tampieri, & G. Brusasca. (1995). An assessment of mixing-length closure schemes for models of turbulent boundary layers over complex terrain. Boundary-Layer Meteorology. 73(4). 343–356. 6 indexed citations

10.

Anfossi, D., Enrico Ferrero, G. Brusasca, A. Marzorati, & G. Tinarelli. (1993). A simple way of computing buoyant plume rise in Lagrangian stochastic dispersion models. Atmospheric Environment Part A General Topics. 27(9). 1443–1451. 38 indexed citations

11.

Finardi, Sandro, et al.. (1993). Boundary-layer flow over analytical two-dimensional hills: A systematic comparison of different models with wind tunnel data. Boundary-Layer Meteorology. 63(3). 259–291. 35 indexed citations

12.

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

13.

Brusasca, G., G. Tinarelli, & D. Anfossi. (1992). Particle model simulation of diffusion in low wind speed stable conditions. Atmospheric Environment Part A General Topics. 26(4). 707–723. 43 indexed citations

14.

Anfossi, D., G. Brusasca, & G. Tinarelli. (1990). Simulation of atmospheric diffusion in low windspeed meandering conditions by a Monte Carlo dispersion model. Il Nuovo Cimento C. 13(6). 995–1006. 23 indexed citations

15.

Brusasca, G., et al.. (1989). Numerical experiments on urban heat island intensity. Quarterly Journal of the Royal Meteorological Society. 115(488). 983–995. 24 indexed citations

16.

Anfossi, D., G. Brusasca, & G. Tinarelli. (1988). Sensitivity analysis of a Monte Carlo atmospheric diffusion model. Il Nuovo Cimento C. 11(1). 13–28. 3 indexed citations

17.

Brusasca, G., G. Tinarelli, D. Anfossi, & Paolo Zannetti. (1987). Particle modeling simulation of atmospheric dispersion using the MC-LAGPAR package. Environmental Software. 2(3). 151–158. 7 indexed citations

18.

Longhetto, A., et al.. (1987). Climatological study of the adrano site of the eurelios solar mirror power plant. Solar Energy. 39(5). 459–466. 3 indexed citations

19.

Alessio, S., D. Anfossi, & G. Brusasca. (1986). Negatively buoyant plume dispersion. 9(3). 788–807. 1 indexed citations

20.

Bonino, G., D. Anfossi, P. Bacci, G. Brusasca, & A. Longhetto. (1980). Atmospheric-dispersion parameter evaluation in the Po Valley. Il Nuovo Cimento C. 3(4). 394–404. 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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