Gino Briganti

21 papers receiving 230 citations

Peers

Gino Briganti
Comparison fields: 5 of 58
  • Health, Toxicology and Mutagenesis 140
  • Atmospheric Science 91
  • Environmental Engineering 86
  • Global and Planetary Change 58
  • Automotive Engineering 24
Replace Hem H. Dholakia with:
Hem H. Dholakia India
Makoto Kelp United States
Balkrishna Sapkota Nepal
Noelia Otero Germany
E. Vignati Italy
Muritala A. Ayoola Nigeria
E. Assamoi France
Marios Panagi United Kingdom
Giuseppe Cremona Italy
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Citations per field
00.5×1.5×1.9×
Hem H. Dholakia · 1×
Citations per year

Countries citing papers authored by Gino Briganti

Since Specialization
Citations

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

Fields of papers citing papers by Gino Briganti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gino Briganti

This figure shows the co-authorship network connecting the top 25 collaborators of Gino Briganti. A scholar is included among the top collaborators of Gino Briganti 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 Gino Briganti. Gino Briganti 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
#WorkIndexed citations
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11
AMS-MINNI national air quality simulation on Italy for the calendar year 2015. Annual air quality simulation of MINNI Atmospheric Modelling System: results for the calendar year 2015 and comparison with observed data
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12 22
13 15
14 13
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La simulazione nazionale di AMS-MINNI relativa all'anno 2010. Simulazione annuale del Sistema Modellistico Atmosferico di MINNI e validazione dei risultati tramite confronto con i dati osservati
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16 27
17 57
18
National Italian integrated atmospheric model on air pollution: Sensitivity to emission inventory
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19
Impact of horizontal grid resolution on air quality modeling: A case study over Italy
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Testing the capability of the minni atmospheric modeling system to simulate air pollution in Italy
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About Gino Briganti

Gino Briganti is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering, having authored 23 papers that have together received 242 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (15 papers), Atmospheric chemistry and aerosols (15 papers) and Climate Change and Health Impacts (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (140 citations), Environmental Engineering (86 citations) and Atmospheric Science (91 citations). Gino Briganti has collaborated with scholars based in Italy, Norway and Denmark. Frequent co-authors include Andrea Cappelletti, Luisella Ciancarella, Massimo D’Isidoro, Antonio Piersanti, Gabriele Zanini, Lina Vitali, Gaia Righini, Mihaela Mircea, Mario Adani and Giuseppe Cremona. Their work appears in journals such as The Science of The Total Environment, Physics Letters B and Atmospheric Environment.

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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