Matteo Taroni

1.9k total citations
57 papers, 889 citations indexed

About

Matteo Taroni is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Matteo Taroni has authored 57 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Geophysics, 24 papers in Artificial Intelligence and 13 papers in Civil and Structural Engineering. Recurrent topics in Matteo Taroni's work include earthquake and tectonic studies (49 papers), Earthquake Detection and Analysis (26 papers) and Seismology and Earthquake Studies (15 papers). Matteo Taroni is often cited by papers focused on earthquake and tectonic studies (49 papers), Earthquake Detection and Analysis (26 papers) and Seismology and Earthquake Studies (15 papers). Matteo Taroni collaborates with scholars based in Italy, United States and United Kingdom. Matteo Taroni's co-authors include Warner Marzocchi, Aybige Akıncı, Jacopo Selva, J. D. Zechar, Giuseppe Falcone, Jiancang Zhuang, Maximilian J. Werner, Danijel Schorlemmer, Stefan Wiemer and Maura Murru and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Science Advances.

In The Last Decade

Matteo Taroni

51 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Taroni Italy 15 767 359 231 30 26 57 889
F. Mele Italy 15 809 1.1× 237 0.7× 286 1.2× 36 1.2× 15 0.6× 38 1.0k
Antonella Peresan Italy 19 878 1.1× 385 1.1× 274 1.2× 48 1.6× 36 1.4× 85 1.0k
A. L. Llenos United States 19 941 1.2× 330 0.9× 157 0.7× 44 1.5× 9 0.3× 41 1.1k
Θεόδωρος Μ. Τσάπανος Greece 17 810 1.1× 141 0.4× 190 0.8× 28 0.9× 36 1.4× 66 912
R. B. S. Yadav India 21 947 1.2× 139 0.4× 239 1.0× 33 1.1× 33 1.3× 55 1.1k
Sherif M. El-Hady Egypt 15 408 0.5× 131 0.4× 156 0.7× 11 0.4× 23 0.9× 38 555
Xyoli Pérez‐Campos Mexico 21 1.4k 1.9× 249 0.7× 206 0.9× 16 0.5× 9 0.3× 90 1.6k
Massimiliano Stucchi Italy 12 822 1.1× 181 0.5× 561 2.4× 20 0.7× 10 0.4× 27 1.2k
Valerio De Rubeis Italy 17 517 0.7× 211 0.6× 185 0.8× 12 0.4× 82 3.2× 53 662
N. van der Elst United States 20 1.5k 1.9× 578 1.6× 96 0.4× 50 1.7× 15 0.6× 47 1.7k

Countries citing papers authored by Matteo Taroni

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Taroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Taroni

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Taroni. A scholar is included among the top collaborators of Matteo Taroni 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 Matteo Taroni. Matteo Taroni 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.
Barani, Simone, et al.. (2025). A physics-informed stochastic model for the long-term correlation of earthquakes. Communications Earth & Environment. 6(1). 1 indexed citations
2.
Taroni, Matteo, M. Coltelli, Flavio Cannavò, et al.. (2025). Earthquake frequency-magnitude distribution at Mount Etna sheds light on magma ascent in the volcano’s plumbing system. Science Advances. 11(41). eadx9873–eadx9873.
3.
Petrillo, Giuseppe & Matteo Taroni. (2025). Adding strain rate information into a short-term seismicity model improves forecasting performances: the case of Campi Flegrei, Italy. SHILAP Revista de lepidopterología. 4(2).
4.
Marzocchi, Warner, C. Meletti, V. D’Amico, et al.. (2025). Guidelines for the Scientific Evaluation of an NSHM: The Legacy of the MPS19 Italian Model. Bulletin of the Seismological Society of America. 115(6). 2826–2844.
5.
Taroni, Matteo, Giuseppe Petrillo, & Eugenio Lippiello. (2025). Earthquake Size Distributions of Strong Worldwide Seismicity Are Similar for Background and Triggered Events. Seismological Research Letters. 96(5). 3189–3194.
6.
Taroni, Matteo. (2024). Are the magnitudes of earthquakes in Southern California, with incompleteness removed, correlated?. Geophysical Journal International. 236(3). 1596–1600. 1 indexed citations
7.
Grezio, Anita, Marco Anzidei, Beatriz Brizuela, et al.. (2024). Including sea-level rise and vertical land movements in probabilistic tsunami hazard assessment for the Mediterranean Sea. Scientific Reports. 14(1). 28873–28873. 2 indexed citations
8.
Carafa, Michele M. C., Peter Bird, Alessandro Verdecchia, Matteo Taroni, & Carlo Doglioni. (2024). Empirical evidence for multi-decadal transients affecting geodetic velocity fields and derived seismicity forecasts in Italy. Scientific Reports. 14(1). 19941–19941. 2 indexed citations
9.
10.
Taroni, Matteo, Rodolfo Console, Caterina Montuori, et al.. (2024). Statistically significant difference between earthquake size distributions of independent and triggered seismicity. Communications Earth & Environment. 5(1). 4 indexed citations
11.
Zimmaro, Paolo, et al.. (2023). Peculiar characteristics of ground motions in Southern Italy: Insights from global and regional ground motion models. Earthquake Spectra. 39(1). 577–595. 2 indexed citations
12.
Taroni, Matteo & Michele M. C. Carafa. (2023). Earthquake size distributions are slightly different in compression vs extension. Communications Earth & Environment. 4(1). 8 indexed citations
13.
Murru, Maura, Matteo Taroni, Rodolfo Console, et al.. (2023). Temporal Variations of Seismicity Rates and Gutenberg–Richterb-Values for a Stochastic Declustered Catalog: An Example in Central Italy. Seismological Research Letters. 3 indexed citations
14.
Taroni, Matteo. (2023). Against Båth’s Law: When Aftershocks Became Mainshocks—Implications for Earthquake Forecasting Communication. Seismological Research Letters. 94(6). 2565–2568. 2 indexed citations
15.
Taroni, Matteo, et al.. (2023). How many strong earthquakes will there be tomorrow?. Frontiers in Applied Mathematics and Statistics. 9. 3 indexed citations
16.
Maio, Francesco Di, et al.. (2022). A heuristic features selection approach for scenario analysis in a regional seismic probabilistic tsunami hazard assessment. International Journal of Disaster Risk Reduction. 78. 103112–103112. 3 indexed citations
17.
Meletti, C., V. D’Amico, Giovanni Lanzano, et al.. (2021). THE NEW ITALIAN SEISMIC HAZARD MODEL (MPS19). Institutional Research Information System (University of Udine). 84 indexed citations
18.
Marzocchi, Warner, et al.. (2019). How to be fooled searching for significant variations of the b-value. Geophysical Journal International. 220(3). 1845–1856. 83 indexed citations
19.
Zhuang, Jiancang, et al.. (2017). An extensive study of clustering features of seismicity in Italy during 2005 to 2016. EGUGA. 7433. 1 indexed citations
20.
Werner, Maximilian J., Warner Marzocchi, Matteo Taroni, et al.. (2014). Retrospective Evaluation of Earthquake Forecasts during the 2010-12 Canterbury, New Zealand, Earthquake Sequence. AGU Fall Meeting Abstracts. 2014. 2 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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