Fabio Corbi

1.7k total citations
47 papers, 1.2k citations indexed

About

Fabio Corbi is a scholar working on Geophysics, Artificial Intelligence and Management, Monitoring, Policy and Law. According to data from OpenAlex, Fabio Corbi has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Geophysics, 6 papers in Artificial Intelligence and 4 papers in Management, Monitoring, Policy and Law. Recurrent topics in Fabio Corbi's work include earthquake and tectonic studies (39 papers), Geological and Geochemical Analysis (28 papers) and High-pressure geophysics and materials (27 papers). Fabio Corbi is often cited by papers focused on earthquake and tectonic studies (39 papers), Geological and Geochemical Analysis (28 papers) and High-pressure geophysics and materials (27 papers). Fabio Corbi collaborates with scholars based in Italy, Germany and France. Fabio Corbi's co-authors include Francesca Funiciello, Eleonora Rivalta, Matthias Rosenau, Valerio Acocella, Erika Di Giuseppe, Serge Lallemand, Francesco Maccaferri, F. Funiciello, Claudio Faccenna and Ylona van Dinther and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Fabio Corbi

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Corbi Italy 24 1.0k 186 97 75 72 47 1.2k
Terence D. Barr Australia 14 665 0.7× 74 0.4× 103 1.1× 48 0.6× 136 1.9× 20 825
C. W. Passchier Netherlands 5 689 0.7× 82 0.4× 75 0.8× 76 1.0× 161 2.2× 5 863
Thomas Ader United Kingdom 9 795 0.8× 109 0.6× 55 0.6× 54 0.7× 56 0.8× 9 925
Lynn Evans Australia 20 552 0.5× 49 0.3× 238 2.5× 118 1.6× 244 3.4× 38 930
P.-Y.F. Robin Canada 9 569 0.6× 106 0.6× 108 1.1× 110 1.5× 283 3.9× 13 815
Marcel Frehner Switzerland 19 782 0.8× 67 0.4× 95 1.0× 59 0.8× 212 2.9× 56 1.0k
R. Wang Germany 18 1.2k 1.2× 182 1.0× 48 0.5× 35 0.5× 46 0.6× 23 1.4k
Yunliang Wang China 12 349 0.3× 136 0.7× 51 0.5× 130 1.7× 295 4.1× 50 849
Han Yue China 26 2.4k 2.4× 513 2.8× 75 0.8× 46 0.6× 35 0.5× 73 2.6k
Kwang‐Hee Kim South Korea 17 948 0.9× 237 1.3× 33 0.3× 48 0.6× 103 1.4× 93 1.2k

Countries citing papers authored by Fabio Corbi

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Corbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Corbi

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Corbi. A scholar is included among the top collaborators of Fabio Corbi 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 Fabio Corbi. Fabio Corbi 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.
Corbi, Fabio, et al.. (2025). Uncovering Deformation Prior to Analogue Megathrust Earthquakes With Explainable Artificial Intelligence. Geophysical Research Letters. 52(12). 1 indexed citations
2.
Corbi, Fabio, et al.. (2025). Scaled seismotectonic models of megathrust seismic cycles through the lens of dynamical system theory. SHILAP Revista de lepidopterología. 4(1). 1 indexed citations
3.
4.
5.
Billi, Andrea, Fabio Corbi, Marco Cuffaro, et al.. (2024). Seismic slip channeling along the East Anatolian Fault illuminates long-term supercycle behavior. Nature Communications. 15(1). 8921–8921. 3 indexed citations
6.
Corbi, Fabio, et al.. (2023). Seamount Subduction and Megathrust Seismicity: The Interplay Between Geometry and Friction. Geophysical Research Letters. 50(9). 4 indexed citations
7.
Corbi, Fabio, et al.. (2023). Stream laws in analog tectonic-landscape models. Earth Surface Dynamics. 11(4). 731–740. 1 indexed citations
8.
Elger, Kirsten, Corrado Cimarelli, Fabio Corbi, et al.. (2022). The EPOS Multi-Scale Laboratories: A FAIR Framework for stimulating Open Science practice across European Earth Sciences Laboratories. Annals of Geophysics. 65(3). DM318–DM318. 4 indexed citations
9.
Corbi, Fabio, Jonathan Bedford, Piero Poli, Francesca Funiciello, & Zhiguo Deng. (2022). Probing the seismic cycle timing with coseismic twisting of subduction margins. Nature Communications. 13(1). 1911–1911. 8 indexed citations
10.
Corbi, Fabio, et al.. (2022). Forecasting Surface Velocity Fields Associated With Laboratory Seismic Cycles Using Deep Learning. Geophysical Research Letters. 49(15). 8 indexed citations
11.
Faccenna, Claudio, et al.. (2020). Erosional response of granular material in landscape models. Earth Surface Dynamics. 8(4). 973–993. 9 indexed citations
12.
Rosenau, Matthias, Illia Horenko, Fabio Corbi, et al.. (2019). Synchronization of Great Subduction Megathrust Earthquakes: Insights From Scale Model Analysis. Journal of Geophysical Research Solid Earth. 124(4). 3646–3661. 21 indexed citations
13.
Corbi, Fabio, Laura Sandri, Jonathan Bedford, et al.. (2019). Machine Learning Can Predict the Timing and Size of Analog Earthquakes. Geophysical Research Letters. 46(3). 1303–1311. 81 indexed citations
14.
Acocella, Valerio, et al.. (2017). Propagation and arrest of dikes under topography: Models applied to the 2014 Bardarbunga (Iceland) rifting event. Geophysical Research Letters. 44(13). 6692–6701. 26 indexed citations
15.
Rosenau, Matthias, Fabio Corbi, & Stéphane Dominguez. (2017). Analogue earthquakes and seismic cycles: experimental modelling across timescales. Solid Earth. 8(3). 597–635. 44 indexed citations
16.
Pinel, Virginie, et al.. (2017). A two‐step model for dynamical dike propagation in two dimensions: Application to the July 2001 Etna eruption. Journal of Geophysical Research Solid Earth. 122(2). 1107–1125. 28 indexed citations
17.
Corbi, Fabio, Eleonora Rivalta, Virginie Pinel, et al.. (2016). How caldera collapse shapes the shallow emplacement and transfer of magma in active volcanoes. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1 indexed citations
18.
Giuseppe, Erika Di, Fabio Corbi, F. Funiciello, et al.. (2014). Characterization of Carbopol® hydrogel rheology for experimental tectonics and geodynamics. Tectonophysics. 642. 29–45. 78 indexed citations
19.
Ruch, Joël, Valerio Acocella, Nobuo Geshi, Adriano Nobile, & Fabio Corbi. (2012). Kinematic analysis of vertical collapse on volcanoes using experimental models time series. Journal of Geophysical Research Atmospheres. 117(B7). 38 indexed citations
20.
Corbi, Fabio, Francesca Funiciello, Monica Moroni, et al.. (2012). The seismic cycle at subduction thrusts: 1. Insights from laboratory models. Journal of Geophysical Research Solid Earth. 118(4). 1483–1501. 41 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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