G. M. Riva

466 total citations
15 papers, 328 citations indexed

About

G. M. Riva is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, G. M. Riva has authored 15 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 11 papers in Atmospheric Science and 7 papers in Environmental Engineering. Recurrent topics in G. M. Riva's work include Air Quality and Health Impacts (11 papers), Atmospheric chemistry and aerosols (10 papers) and Wind and Air Flow Studies (6 papers). G. M. Riva is often cited by papers focused on Air Quality and Health Impacts (11 papers), Atmospheric chemistry and aerosols (10 papers) and Wind and Air Flow Studies (6 papers). G. M. Riva collaborates with scholars based in Italy, France and Norway. G. M. Riva's co-authors include Guido Pirovano, Alessandra Balzarini, Giovanni Lonati, Bruno Rindone, Nicola Pepe, V. Gianelle, Cristina Colombi, Marco Bedogni, Bertrand Bessagnet and Christina Mitsakou and has published in prestigious journals such as The Science of The Total Environment, Water Research and Atmospheric Environment.

In The Last Decade

G. M. Riva

15 papers receiving 317 citations

Peers

G. M. Riva
Junjie Tian China
Frank Divita United States
Yasmeen Fatima Pervez India
Haohao Jia China
Bingye Xu China
Chanzhen Shi China
Mamin Wang China
Yuzhu Xie China
Junjie Tian China
G. M. Riva
Citations per year, relative to G. M. Riva G. M. Riva (= 1×) peers Junjie Tian

Countries citing papers authored by G. M. Riva

Since Specialization
Citations

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

Fields of papers citing papers by G. M. Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. M. Riva

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

All Works

15 of 15 papers shown
1.
Balzarini, Alessandra, et al.. (2020). Modeling the Effect of COVID-19 Lockdown on Mobility and NO2 Concentration in the Lombardy Region. Atmosphere. 11(12). 1319–1319. 31 indexed citations
2.
Lonati, Giovanni, et al.. (2020). Combined Eulerian-Lagrangian Hybrid Modelling System for PM2.5 and Elemental Carbon Source Apportionment at the Urban Scale in Milan. Atmosphere. 11(10). 1078–1078. 5 indexed citations
3.
Pepe, Nicola, Guido Pirovano, Alessandra Balzarini, et al.. (2019). Enhanced CAMx source apportionment analysis at an urban receptor in Milan based on source categories and emission regions. Atmospheric Environment X. 2. 100020–100020. 24 indexed citations
4.
Pepe, Nicola, et al.. (2019). Enhanced air quality modelling through AUSTAL2000 model in Milan urban area. IOP Conference Series Earth and Environmental Science. 296(1). 12012–12012. 2 indexed citations
5.
6.
Meroni, Agostino N., Guido Pirovano, Stefania Gilardoni, et al.. (2017). Investigating the role of chemical and physical processes on organic aerosol modelling with CAMx in the Po Valley during a winter episode. Atmospheric Environment. 171. 126–142. 23 indexed citations
7.
Pepe, Nicola, Guido Pirovano, Giovanni Lonati, et al.. (2016). Development and application of a high resolution hybrid modelling system for the evaluation of urban air quality. Atmospheric Environment. 141. 297–311. 31 indexed citations
8.
Pirovano, Guido, Cristina Colombi, Alessandra Balzarini, et al.. (2015). PM2.5 source apportionment in Lombardy (Italy): Comparison of receptor and chemistry-transport modelling results. Atmospheric Environment. 106. 56–70. 40 indexed citations
9.
Balzarini, Alessandra, F. Angelini, Luca Ferrero, et al.. (2014). Sensitivity analysis of PBL schemes by comparing WRF model and experimental data. 21 indexed citations
10.
Pernigotti, Denise, C. Cuvelier, Emilia Georgieva, et al.. (2013). POMI: a model inter-comparison exercise over the Po Valley. Air Quality Atmosphere & Health. 6(4). 701–715. 32 indexed citations
11.
Pirovano, Guido, Alessandra Balzarini, Bertrand Bessagnet, et al.. (2012). Investigating impacts of chemistry and transport model formulation on model performance at European scale. Atmospheric Environment. 53. 93–109. 41 indexed citations
12.
Balzarini, Alessandra, Guido Pirovano, G. M. Riva, et al.. (2012). WRF evaluation exercise using open sea in situ measurements. International Journal of Environment and Pollution. 50(1/2/3/4). 151–151. 3 indexed citations
13.
Ferrero, Enrico, et al.. (2012). Particulate matter pollution simulations in complex terrain. International Journal of Environment and Pollution. 48(1/2/3/4). 39–39. 1 indexed citations
14.
Riva, G. M., et al.. (1996). Particle model simulation of pollutants dispersion from a line source in complex terrain. The Science of The Total Environment. 189-190. 301–309. 11 indexed citations
15.
Rindone, Bruno, et al.. (1991). Ozone oxidation of compounds resistant to biological degradation. Water Research. 25(8). 985–993. 61 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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