Martin Gális

1.6k total citations · 1 hit paper
33 papers, 1.1k citations indexed

About

Martin Gális is a scholar working on Geophysics, Civil and Structural Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Martin Gális has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Geophysics, 8 papers in Civil and Structural Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Martin Gális's work include Seismic Waves and Analysis (19 papers), Seismic Imaging and Inversion Techniques (15 papers) and earthquake and tectonic studies (13 papers). Martin Gális is often cited by papers focused on Seismic Waves and Analysis (19 papers), Seismic Imaging and Inversion Techniques (15 papers) and earthquake and tectonic studies (13 papers). Martin Gális collaborates with scholars based in Slovakia, Saudi Arabia and France. Martin Gális's co-authors include Peter Moczo, Jozef Kristek, P. Martín, Jean‐Paul Ampuero, Frédéric Cappa, Olaf Zielke, J.C. Vyas, Emmanuel Chaljub, V. Etienne and Christian Pelties and has published in prestigious journals such as Journal of Computational Physics, Geophysical Research Letters and Science Advances.

In The Last Decade

Martin Gális

32 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

Induced seismicity provides insight into why earthquake ruptures stop

2017 232 citations Martin Gális, Jean‐Paul Ampuero et al. Science Advances profile →

Peers

Martin Gális

GEOPH

CSE

OE

MM

EEE

Emmanuel Chaljub France

Enrico Priolo Italy

Diego Mercerat France

G. S. O’Brien Ireland

Jeremy E. Kozdon United States

Miriam Kristeková Slovakia

F. J. Sánchez-Sesma Mexico

V. Etienne France

E. Tessmer Germany

Christophe Barnes France

Emmanuel Chaljub France

Martin Gális

984 ×1.1

GEOPH

320 ×1.7

CSE

194 ×1.2

OE

98 ×0.8

MM

88 ×0.8

EEE

Citations per year, relative to Martin Gális Martin Gális (= 1×) peers Emmanuel Chaljub

Countries citing papers authored by Martin Gális

Since Specialization

Citations

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

Fields of papers citing papers by Martin Gális

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Gális

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Gális. A scholar is included among the top collaborators of Martin Gális 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 Martin Gális. Martin Gális is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Moczo, Peter, et al.. (2024). How Accurate Numerical Simulation of Seismic Waves in a Heterogeneous Medium Can Be?. Bulletin of the Seismological Society of America. 114(5). 2287–2309. 2 indexed citations

2.

Moczo, Peter, et al.. (2023). Can Higher-Order Finite-Difference Operators Be Applied across a Material Interface?. Bulletin of the Seismological Society of America. 113(5). 1924–1937. 5 indexed citations

3.

Vyas, J.C., Martin Gális, & P. Martín. (2023). Ground-Motion Variability for Ruptures on Rough Faults. Bulletin of the Seismological Society of America. 114(2). 965–981. 1 indexed citations

4.

Moczo, Peter, et al.. (2022). Material Interface in the Finite-Difference Modeling: A Fundamental View. Bulletin of the Seismological Society of America. 113(1). 281–296. 10 indexed citations

5.

Gális, Martin, Jean‐Paul Ampuero, P. Martín, & Jozef Kristek. (2019). Initiation and arrest of earthquake ruptures due to elongated overstressed regions. Geophysical Journal International. 217(3). 1783–1797. 11 indexed citations

6.

Gális, Martin, et al.. (2017). Theoretical estimates of magnitudes of earthquakes induced by pore-pressure perturbations with large aspect ratios. EGUGA. 6111. 1 indexed citations

7.

Gális, Martin, Jean‐Paul Ampuero, P. Martín, & Frédéric Cappa. (2017). Induced seismicity provides insight into why earthquake ruptures stop. Science Advances. 3(12). eaap7528–eaap7528. 232 indexed citations breakdown →

8.

Zielke, Olaf, Martin Gális, & P. Martín. (2017). Fault roughness and strength heterogeneity control earthquake size and stress drop. Geophysical Research Letters. 44(2). 777–783. 76 indexed citations

9.

Ampuero, Jean‐Paul, Martin Gális, & P. Martín. (2016). Physics-based estimates of maximum magnitude of induced earthquakes. EGUGA. 1 indexed citations

10.

Vyas, J.C., P. Martín, & Martin Gális. (2016). Distance and azimuthal dependence of ground-motion variability. EGUGA. 1 indexed citations

11.

Moczo, Peter, Jozef Kristek, & Martin Gális. (2014). The Finite-Difference Modelling of Earthquake Motions. Cambridge University Press eBooks. 198 indexed citations

12.

Gális, Martin, Walter Imperatori, & Pla N. (2013). Quantitative analysis of accuracy of seismic wave-propagation codes in 3D random scattering media. EGUGA. 1 indexed citations

13.

Moczo, Peter, et al.. (2012). Theoretical and numerical comparison of 3D numerical schemes for their accuracy with respect to P-wave to S-wave speed ratio. EGU General Assembly Conference Abstracts. 5475. 2 indexed citations

14.

Moczo, Peter, et al.. (2010). On Accuracy of the Finite-difference, Finite-element and Spectral-element Schemes for Modeling Seismic Motion in Media With a Large P-wave to S-wave Speed Ratio. EGU General Assembly Conference Abstracts. 9297. 1 indexed citations

15.

Gális, Martin, Peter Moczo, Jozef Kristek, & Miriam Kristeková. (2010). An Adaptive Smoothing Algorithm in the TSN Modeling of Rupture Propagation with the Linear Slip-weakening Friction Law. EGU General Assembly Conference Abstracts. 9509. 1 indexed citations

16.

Gális, Martin, Peter Moczo, & Jozef Kristek. (2008). A 3-D hybrid finite-difference-finite-element viscoelastic modelling of seismic wave motion. Geophysical Journal International. 175(1). 153–184. 47 indexed citations

17.

Moczo, Peter, et al.. (2007). The finite-difference and finite-element modeling of seismic wave propagation and earthquake motion. 57(2). 126 indexed citations

18.

Kristek, Jozef, Peter Moczo, & Martin Gális. (2006). Comparison of the 2nd-order and 4th-order Staggered-Grid Finite-Difference Implementations of the TSN Method for Rupture Propagation. AGU Fall Meeting Abstracts. 2006. 1 indexed citations

19.

Moczo, Peter, Jean‐Paul Ampuero, Jozef Kristek, et al.. (2005). The European Network SPICE Code Validation. AGUFM. 2005. 4 indexed citations

20.

David, F. N., et al.. (1989). Metallurgical Parameters Affecting the Sulfide Stress Corrosion Cracking of 90-100 Ksi Oil Country Tubular Goods. 1–12. 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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