Eleonora Cuccia

895 total citations
22 papers, 571 citations indexed

About

Eleonora Cuccia is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Eleonora Cuccia has authored 22 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 13 papers in Atmospheric Science and 9 papers in Environmental Engineering. Recurrent topics in Eleonora Cuccia's work include Air Quality and Health Impacts (13 papers), Atmospheric chemistry and aerosols (13 papers) and Air Quality Monitoring and Forecasting (6 papers). Eleonora Cuccia is often cited by papers focused on Air Quality and Health Impacts (13 papers), Atmospheric chemistry and aerosols (13 papers) and Air Quality Monitoring and Forecasting (6 papers). Eleonora Cuccia collaborates with scholars based in Italy, Spain and France. Eleonora Cuccia's co-authors include P. Prati, Dario Massabò, Maria Chiara Bove, A. Piazzalunga, Cristina Colombi, Andrea Mazzino, Paolo Brotto, Federico Cassola, F. Cavalli and J. Hjorth and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Atmospheric Environment.

In The Last Decade

Eleonora Cuccia

21 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eleonora Cuccia Italy 10 421 358 239 150 139 22 571
Luolin Wu China 14 410 1.0× 389 1.1× 309 1.3× 142 0.9× 111 0.8× 21 629
Fabio Massimo Grasso Italy 15 518 1.2× 496 1.4× 367 1.5× 178 1.2× 235 1.7× 33 772
Marlene Schmidt Plejdrup Denmark 9 176 0.4× 224 0.6× 218 0.9× 151 1.0× 40 0.3× 18 426
Abhishek Chakraborty India 14 526 1.2× 613 1.7× 221 0.9× 92 0.6× 254 1.8× 36 781
Maria Chiara Bove Italy 11 503 1.2× 494 1.4× 243 1.0× 146 1.0× 139 1.0× 15 643
Kuruvilla John United States 10 206 0.5× 375 1.0× 221 0.9× 113 0.8× 83 0.6× 26 471
Laure Malherbe France 12 306 0.7× 336 0.9× 211 0.9× 66 0.4× 188 1.4× 31 558
Shuhui Zhu China 18 961 2.3× 844 2.4× 436 1.8× 320 2.1× 221 1.6× 42 1.1k
J.-P. Putaud Italy 4 493 1.2× 270 0.8× 178 0.7× 114 0.8× 189 1.4× 4 541

Countries citing papers authored by Eleonora Cuccia

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Cuccia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleonora Cuccia

This figure shows the co-authorship network connecting the top 25 collaborators of Eleonora Cuccia. A scholar is included among the top collaborators of Eleonora Cuccia 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 Eleonora Cuccia. Eleonora Cuccia 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.
Calzolai, Giulia, M. Chiari, Eleonora Cuccia, et al.. (2025). Determination of aerosol composition by ED-XRF on Teflon and quartz substrates: potentialities and limits. SHILAP Revista de lepidopterología. 3(2). 405–415. 1 indexed citations
2.
Chazeau, Benjamin, Cristina Colombi, Eleonora Cuccia, et al.. (2025). Intercomparison of online and offline XRF spectrometers for determining the PM 10 elemental composition of ambient aerosol. Atmospheric measurement techniques. 18(21). 6435–6448.
3.
Amato, Fúlvio, Barend L. van Drooge, Jean‐Luc Jaffrezo, et al.. (2024). Aerosol source apportionment uncertainty linked to the choice of input chemical components. Environment International. 184. 108441–108441. 8 indexed citations
4.
5.
Ferrero, Luca, Niccolò Losi, Martin Rigler, et al.. (2024). Determining the Aethalometer multiple scattering enhancement factor C from the filter loading parameter. The Science of The Total Environment. 917. 170221–170221. 4 indexed citations
6.
7.
8.
Pietrogrande, Maria Chiara, et al.. (2023). Seasonal and Spatial Variations of the Oxidative Properties of Ambient PM2.5 in the Po Valley, Italy, before and during COVID-19 Lockdown Restrictions. International Journal of Environmental Research and Public Health. 20(3). 1797–1797. 8 indexed citations
9.
Pietrogrande, Maria Chiara, et al.. (2022). Seasonal and Spatial Variations of PM10 and PM2.5 Oxidative Potential in Five Urban and Rural Sites across Lombardia Region, Italy. International Journal of Environmental Research and Public Health. 19(13). 7778–7778. 18 indexed citations
10.
Governi, Lapo, Monica Carfagni, Giorgio Cattani, et al.. (2020). LIFE Monza: comparison between ante andpost-operamnoise and air quality monitoring activities in a Noise Low Emission Zone. SHILAP Revista de lepidopterología. 7(1). 171–191. 2 indexed citations
11.
Titos, Gloria, Ana del Águila, Alberto Cazorla, et al.. (2016). Spatial and temporal variability of carbonaceous aerosols: Assessing the impact of biomass burning in the urban environment. The Science of The Total Environment. 578. 613–625. 137 indexed citations
12.
Bove, Maria Chiara, Eleonora Cuccia, F. Cavalli, et al.. (2014). Source apportionment of PM10 in the Western Mediterranean based on observations from a cruise ship. Atmospheric Environment. 98. 510–518. 32 indexed citations
13.
Massabò, Dario, Vera Bernardoni, Maria Chiara Bove, et al.. (2013). A multi-wavelength optical set-up for the characterization of carbonaceous particulate matter. Journal of Aerosol Science. 60. 34–46. 34 indexed citations
14.
Cuccia, Eleonora, Dario Massabò, Maria Chiara Bove, et al.. (2012). Size-resolved comprehensive characterization of airborne particulate matter. Atmospheric Environment. 67. 14–26. 47 indexed citations
15.
Massabò, Dario, Maria Chiara Bove, Eleonora Cuccia, et al.. (2012). An optical set-up for the multi-wavelength characterization of carbonaceous particulate matter. 1 indexed citations
16.
Cavalli, F., Eleonora Cuccia, J. Hjorth, et al.. (2012). Impact of a European directive on ship emissions on air quality in Mediterranean harbours. Atmospheric Environment. 61. 661–669. 83 indexed citations
17.
Bernardoni, Vera, Eleonora Cuccia, Giulia Calzolai, et al.. (2011). ED‐XRF set‐up for size‐segregated aerosol samples analysis. X-Ray Spectrometry. 40(2). 79–87. 18 indexed citations
18.
Cuccia, Eleonora, A. Piazzalunga, Vera Bernardoni, et al.. (2011). Carbonate measurements in PM10 near the marble quarries of Carrara (Italy) by infrared spectroscopy (FT-IR) and source apportionment by positive matrix factorization (PMF). Atmospheric Environment. 45(35). 6481–6487. 23 indexed citations
19.
Cuccia, Eleonora, Vera Bernardoni, Dario Massabò, et al.. (2010). An alternative way to determine the size distribution of airborne particulate matter. Atmospheric Environment. 44(27). 3304–3313. 18 indexed citations
20.
Vecchi, R., Pieremanuele Canepa, Eleonora Cuccia, et al.. (2010). Black Carbon and Elemental Carbon measurementes in Milan (Po Valley, Italy) by different optical and Thermal-optical method. BOA (University of Milano-Bicocca). 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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