Andrey Babeyko

5.3k total citations · 1 hit paper
64 papers, 2.9k citations indexed

About

Andrey Babeyko is a scholar working on Geophysics, Artificial Intelligence and Oceanography. According to data from OpenAlex, Andrey Babeyko has authored 64 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Geophysics, 9 papers in Artificial Intelligence and 8 papers in Oceanography. Recurrent topics in Andrey Babeyko's work include earthquake and tectonic studies (50 papers), Geological and Geochemical Analysis (19 papers) and High-pressure geophysics and materials (17 papers). Andrey Babeyko is often cited by papers focused on earthquake and tectonic studies (50 papers), Geological and Geochemical Analysis (19 papers) and High-pressure geophysics and materials (17 papers). Andrey Babeyko collaborates with scholars based in Germany, Russia and Italy. Andrey Babeyko's co-authors include S. V. Sobolev, A. Hoechner, Taras Gerya, Boris Kaus, L. L. Lavier, Onno Oncken, Harro Schmeling, Jeroen van Hunen, Gregor Golabek and Claudio Faccenna and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Geochimica et Cosmochimica Acta.

In The Last Decade

Andrey Babeyko

63 papers receiving 2.9k citations

Hit Papers

Complex hazard cascade culminating in the Anak Krakatau s... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Complex hazard cascade culminating in the Anak Krakatau sector collapse
    2019 238 citations Thomas R. Walter, Mahmud Haghshenas Haghighi et al. Nature Communications profile →

Peers

Andrey Babeyko
Paraskevi Nomikou Greece
Dongdong Tian China
G.R.J. Cooper South Africa
Brendan J. Meade United States
Masato Iguchi Japan
Phil R. Cummins Australia
B. A. Brooks United States
Frederik J. Simons United States
Anthony Sladen France
Shengji Wei Singapore
Paraskevi Nomikou Greece
Andrey Babeyko
Citations per year, relative to Andrey Babeyko Andrey Babeyko (= 1×) peers Paraskevi Nomikou

Countries citing papers authored by Andrey Babeyko

Since Specialization
Citations

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

Fields of papers citing papers by Andrey Babeyko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrey Babeyko

This figure shows the co-authorship network connecting the top 25 collaborators of Andrey Babeyko. A scholar is included among the top collaborators of Andrey Babeyko 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 Andrey Babeyko. Andrey Babeyko 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.
González-Vida, José Manuel, et al.. (2024). Modelling tsunami initial conditions due to rapid coseismic seafloor displacement: efficient numerical integration and a tool to build unit source databases. Natural hazards and earth system sciences. 24(8). 2773–2791.
2.
3.
Zorn, Edgar U., Aiym Orynbaikyzy, Simon Plank, et al.. (2022). Identification and ranking of subaerial volcanic tsunami hazard sources in Southeast Asia. Natural hazards and earth system sciences. 22(9). 3083–3104. 15 indexed citations
4.
Zapata, Juan Camilo Gómez, et al.. (2021). Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment: an application case in Lima, Peru. Natural hazards and earth system sciences. 21(11). 3599–3628. 27 indexed citations
5.
Merz, Bruno, Christian Kuhlicke, Michael Kunz, et al.. (2020). Impact Forecasting to Support Emergency Management of Natural Hazards. Reviews of Geophysics. 58(4). 182 indexed citations
6.
Scala, Antonio, Stefano Lorito, Fabrizio Romano, et al.. (2019). Effect of Shallow Slip Amplification Uncertainty on Probabilistic Tsunami Hazard Analysis in Subduction Zones: Use of Long-Term Balanced Stochastic Slip Models. Pure and Applied Geophysics. 177(3). 1497–1520. 28 indexed citations
7.
Walter, Thomas R., Mahmud Haghshenas Haghighi, Felix Schneider, et al.. (2019). Complex hazard cascade culminating in the Anak Krakatau sector collapse. Nature Communications. 10(1). 4339–4339. 238 indexed citations breakdown →
8.
Selva, Jacopo, Stefano Lorito, P. Perfetti, et al.. (2019). Probabilistic Tsunami Forecasting (PTF) for Tsunami Early Warning operations. EGU General Assembly Conference Abstracts. 17775. 1 indexed citations
9.
Mouslopoulou, Vasiliki, Vasso Saltogianni, Andrew Nicol, et al.. (2018). Breaking a Subduction-Termination from Top to Bottom: The Large 2016 Kaikōura Earthquake. AGUFM. 2018. 1 indexed citations
10.
Hoechner, A., Andrey Babeyko, & Natalia Zamora. (2016). Probabilistic tsunami hazard assessment for the Makran region with focus on maximum magnitude assumption. Natural hazards and earth system sciences. 16(6). 1339–1350. 25 indexed citations
11.
Schnor, Bettina, et al.. (2014). A comparison of CUDA and OpenACC: Accelerating the Tsunami Simulation EasyWave. Publication Database GFZ (GFZ German Research Centre for Geosciences). 1–5. 16 indexed citations
12.
Babeyko, Andrey, et al.. (2012). Implementation of large-scale landscape evolution modelling to real high-resolution DEM. AGUFM. 2012. 1 indexed citations
13.
Babeyko, Andrey & A. Hoechner. (2012). Accuracy of tsunami source inversion with real-time GPS. Publication Database GFZ (GFZ German Research Centre for Geosciences). 4571. 1 indexed citations
14.
Ohrnberger, Matthias, et al.. (2011). Bayesian networks for tsunami early warning. Geophysical Journal International. 185(3). 1431–1443. 29 indexed citations
15.
Babeyko, Andrey & S. L. Sobolev. (2006). Modeling Stress in the Subducting Slab With Complex Elasto-Visco-Plastic Rheology. Publication Database GFZ (GFZ German Research Centre for Geosciences). 2006. 1 indexed citations
16.
Hoechner, A., Andrey Babeyko, S. V. Sobolev, & Sascha Brune. (2006). Slip Distribution of Recent Sunda Trench Earthquakes: Reconciling 3D GPS Inversions with Seismological and Ocean Measurements. Publication Database GFZ (GFZ German Research Centre for Geosciences). 2006. 1 indexed citations
17.
Sobolev, S. V. & Andrey Babeyko. (2005). What drives orogeny in the Andes?. Geology. 33(8). 617–620. 252 indexed citations
18.
Sobolev, S. V., Andrey Babeyko, & Zvi Garfunkel. (2002). Thermo-mechanical Model of the Dead Sea Transform. Publication Database GFZ (GFZ German Research Centre for Geosciences). 2002. 1 indexed citations
19.
Sobolev, S. V., et al.. (1994). Calculation of phase equilibria and elastic properties of magmatic rocks. Izvestiya Physics of the Solid Earth. 30(11). 3–19. 1 indexed citations
20.
Babeyko, Andrey, S. V. Sobolev, & В. Н. Жарков. (1993). On mineralogical and velocity structure of the martian crust.. 27(2). 55–75. 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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