Antonello Pasini

1.5k total citations
61 papers, 1.1k citations indexed

About

Antonello Pasini is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Antonello Pasini has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 27 papers in Atmospheric Science and 9 papers in Environmental Engineering. Recurrent topics in Antonello Pasini's work include Climate variability and models (27 papers), Meteorological Phenomena and Simulations (19 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Antonello Pasini is often cited by papers focused on Climate variability and models (27 papers), Meteorological Phenomena and Simulations (19 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Antonello Pasini collaborates with scholars based in Italy, Belgium and United States. Antonello Pasini's co-authors include Alessandro Attanasio, Umberto Triacca, Marco Piccarreta, Maurizio Lazzari, F. Ameli, Rocco Langone, Domenico Capolongo, Fulvio Mazzocchi, I. Allegrini and A. Febo and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Journal of Climate.

In The Last Decade

Antonello Pasini

61 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonello Pasini Italy 20 522 434 180 136 110 61 1.1k
Andrew Zammit‐Mangion Australia 15 338 0.6× 339 0.8× 351 1.9× 38 0.3× 168 1.5× 66 1.4k
Surajit Chattopadhyay India 27 612 1.2× 406 0.9× 639 3.5× 182 1.3× 128 1.2× 219 2.5k
Despina Deligiorgi Greece 15 328 0.6× 351 0.8× 463 2.6× 40 0.3× 124 1.1× 36 894
Dorit Hammerling United States 16 617 1.2× 436 1.0× 356 2.0× 20 0.1× 160 1.5× 56 1.2k
Gardar Johannesson United States 10 310 0.6× 205 0.5× 496 2.8× 34 0.3× 230 2.1× 19 1.1k
Xin China 18 197 0.4× 238 0.5× 120 0.7× 14 0.1× 29 0.3× 315 1.5k
Anna K. Panorska United States 17 321 0.6× 189 0.4× 70 0.4× 29 0.2× 131 1.2× 56 979
John A. Dutton United States 18 818 1.6× 919 2.1× 677 3.8× 122 0.9× 73 0.7× 62 1.9k
Francisco J. Jiménez‐Hornero Spain 21 408 0.8× 186 0.4× 287 1.6× 113 0.8× 300 2.7× 68 1.1k

Countries citing papers authored by Antonello Pasini

Since Specialization
Citations

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

Fields of papers citing papers by Antonello Pasini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonello Pasini

This figure shows the co-authorship network connecting the top 25 collaborators of Antonello Pasini. A scholar is included among the top collaborators of Antonello Pasini 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 Antonello Pasini. Antonello Pasini 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.
Pasini, Antonello, et al.. (2024). A Neural Modelling Tool for Non-Linear Influence Analyses and Perspectives of Applications in Medical Research. Applied Sciences. 14(5). 2148–2148. 1 indexed citations
2.
Montuori, M., et al.. (2023). Forecasting PM10 Levels Using Machine Learning Models in the Arctic: A Comparative Study. Remote Sensing. 15(13). 3348–3348. 5 indexed citations
3.
Pasini, Antonello, et al.. (2022). Influence of Meteo-Climatic Variables and Fertilizer Use on Crop Yields in the Sahel: A Nonlinear Neural-Network Analysis. Climate. 10(12). 193–193. 2 indexed citations
4.
Triacca, Umberto & Antonello Pasini. (2021). The nature of the trend in global and hemispheric temperatures. International Journal of Climatology. 41(12). 5776–5784. 1 indexed citations
5.
Salzano, Roberto, Antonello Pasini, Antonietta Ianniello, et al.. (2018). High time-resolved radon progeny measurements in the Arctic region (Svalbard islands, Norway): results and potentialities. Atmospheric chemistry and physics. 18(9). 6959–6969. 3 indexed citations
6.
Miglietta, Mario Marcello, Jordi Mazón, Vincenzo Motola, & Antonello Pasini. (2017). Effect of a positive Sea Surface Temperature anomaly on a Mediterranean tornadic supercell. Scientific Reports. 7(1). 12828–12828. 45 indexed citations
7.
Pasini, Antonello, et al.. (2017). Attribution of recent temperature behaviour reassessed by a neural-network method. Scientific Reports. 7(1). 17681–17681. 23 indexed citations
8.
Salzano, Roberto, Antonello Pasini, Giampietro Casasanta, Marco Cacciani, & Cinzia Perrino. (2016). Quantitative Interpretation of Air Radon Progeny Fluctuations in Terms of Stability Conditions in the Atmospheric Boundary Layer. Boundary-Layer Meteorology. 160(3). 529–550. 13 indexed citations
9.
Pasini, Antonello, et al.. (2013). Climatic attribution at the regional scale: a case study on the role of circulation patterns and external forcings. Atmospheric Science Letters. 14(4). 301–305. 17 indexed citations
10.
Piccarreta, Marco, Antonello Pasini, Domenico Capolongo, & Maurizio Lazzari. (2013). Changes in daily precipitation extremes in the Mediterranean from 1951 to 2010: the Basilicata region, southern Italy. International Journal of Climatology. 33(15). 3229–3248. 92 indexed citations
11.
Triacca, Umberto, Alessandro Attanasio, & Antonello Pasini. (2013). Anthropogenic global warming hypothesis: testing its robustness by Granger causality analysis. Environmetrics. 24(4). 260–268. 35 indexed citations
12.
Pasini, Antonello, et al.. (2010). Energy-based predictions in Lorenz system by a unified formalism and neural network modelling. Nonlinear processes in geophysics. 17(6). 809–815. 5 indexed citations
13.
Pasini, Antonello, et al.. (2009). Assessing Climatic Influences on Rodent Density. Asia-Pacific Journal of Atmospheric Sciences. 45(3). 319–330. 5 indexed citations
14.
Pasini, Antonello. (2008). External forcings and predictability in Lorenz model: An analysis via neural network modelling. 31(3). 357–370. 8 indexed citations
15.
Mabilia, Rosanna, et al.. (2007). Measurements of lower Carbonyls and Hydrocarbons at Ny‐Alesund, Svalbard. Annali di Chimica. 97(10). 1027–1037. 7 indexed citations
16.
Pasini, Antonello, et al.. (2005). Neural network modelling for the analysis of forcings/temperatures relationships at different scales in the climate system. Ecological Modelling. 191(1). 58–67. 49 indexed citations
17.
Pasini, Antonello, et al.. (2003). Non-linear atmospheric stability indices by neural-network modelling. 26(6). 633–638. 6 indexed citations
18.
Bertoni, G., et al.. (2002). Monitoring of ambient BTX at Monterotondo (Rome) and indoor–outdoor evaluation in school and domestic sites. Journal of Environmental Monitoring. 4(6). 903–909. 26 indexed citations
19.
Pasini, Antonello, et al.. (2001). A neural-network approach to radon short-range forecasting from concentration time series. CNR SOLAR (Scientific Open-access Literature Archive and Repository) (University of Southampton). 24(2). 329–337. 3 indexed citations
20.
Pasini, Antonello, et al.. (2001). Dissipation in Lie–Poisson systems and the Lorenz-84 model. Physics Letters A. 291(6). 389–396. 19 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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