Martín Schimmel

6.8k total citations
129 papers, 3.7k citations indexed

About

Martín Schimmel is a scholar working on Geophysics, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Martín Schimmel has authored 129 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Geophysics, 22 papers in Artificial Intelligence and 11 papers in Astronomy and Astrophysics. Recurrent topics in Martín Schimmel's work include Seismic Waves and Analysis (79 papers), Seismic Imaging and Inversion Techniques (53 papers) and earthquake and tectonic studies (40 papers). Martín Schimmel is often cited by papers focused on Seismic Waves and Analysis (79 papers), Seismic Imaging and Inversion Techniques (53 papers) and earthquake and tectonic studies (40 papers). Martín Schimmel collaborates with scholars based in Spain, France and United States. Martín Schimmel's co-authors include É. Stutzmann, J. Gallart, Hanneke Paulssen, Fabrice Ardhuin, A. Mangeney, Sergi Ventosa, Marcelo Assumpção, G. Patau, Carine Simon and Marcelo Peres Rocha and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Journal of Geophysical Research Atmospheres.

In The Last Decade

Martín Schimmel

116 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martín Schimmel Spain 33 3.0k 691 430 245 207 129 3.7k
M. E. West United States 31 2.1k 0.7× 434 0.6× 399 0.9× 74 0.3× 447 2.2× 129 3.0k
Xiaofei Chen China 35 3.7k 1.2× 576 0.8× 1.1k 2.5× 119 0.5× 90 0.4× 363 5.1k
Zhongwen Zhan United States 35 3.6k 1.2× 1.3k 1.9× 719 1.7× 219 0.9× 142 0.7× 141 4.5k
Masanao Shinohara Japan 34 4.8k 1.6× 919 1.3× 314 0.7× 285 1.2× 256 1.2× 223 5.3k
Mike Dentith Australia 25 1.8k 0.6× 1.1k 1.5× 483 1.1× 226 0.9× 118 0.6× 161 2.6k
Anthony Sladen France 29 3.7k 1.2× 616 0.9× 247 0.6× 305 1.2× 248 1.2× 78 4.1k
Charles A. Langston United States 37 4.0k 1.3× 755 1.1× 575 1.3× 63 0.3× 58 0.3× 125 4.2k
Éric Larose France 38 3.9k 1.3× 1.1k 1.6× 1.2k 2.7× 160 0.7× 389 1.9× 115 4.8k
M. Turhan Taner United States 19 3.0k 1.0× 349 0.5× 1.6k 3.7× 193 0.8× 84 0.4× 50 3.4k
J. Gallart Spain 47 5.0k 1.6× 275 0.4× 204 0.5× 112 0.5× 412 2.0× 154 5.3k

Countries citing papers authored by Martín Schimmel

Since Specialization
Citations

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

Fields of papers citing papers by Martín Schimmel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martín Schimmel

This figure shows the co-authorship network connecting the top 25 collaborators of Martín Schimmel. A scholar is included among the top collaborators of Martín Schimmel 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 Martín Schimmel. Martín Schimmel 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.
Joutsenvaara, Jari, et al.. (2025). The Horizon Europe AGEMERA Project: Innovative Non-Invasive Geophysical Methodologies for Mineral Exploration. Advances in geosciences. 65. 171–180. 1 indexed citations
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Çakmak, Gülce, Mustafa Borga Dönmez, Çiğdem Kahveci, et al.. (2024). Effect of Model Resin and Shaft Taper on the Trueness and Fit of Additively Manufactured Removable Dies in Narrow Ridge Models. The International Journal of Prosthodontics. 25(2). 1–21. 1 indexed citations
5.
Schlaphorst, David, et al.. (2024). Unveiling the Distinct Structure of the Upper Mantle Beneath the Canary and Madeira Hotspots, as Depicted by the 660, 410, and X Discontinuities. Journal of Geophysical Research Solid Earth. 129(5). 1 indexed citations
6.
Nishida, Kiwamu, Taïchi Kawamura, Naomi Murdoch, et al.. (2023). Description of Martian Convective Vortices Observed by InSight and Implications for Vertical Vortex Structure and Subsurface Physical Properties. Journal of Geophysical Research Planets. 128(8). 3 indexed citations
7.
Díaz, Jordi, Sergi Ventosa, Martín Schimmel, et al.. (2023). Mapping the basement of the Cerdanya Basin (eastern Pyrenees) using seismic ambient noise. Solid Earth. 14(5). 499–514. 3 indexed citations
8.
Lognonné, Philippe, Martín Schimmel, É. Stutzmann, et al.. (2023). Detection of Mars Normal Modes From S1222a Event and Seismic Hum. Geophysical Research Letters. 50(12). 7 indexed citations
9.
Li, Jiaqi, Caroline Beghein, M. A. Wieczorek, et al.. (2022). Crustal Structure Constraints From the Detection of the SsPp Phase on Mars. Earth and Space Science. 10(3). 8 indexed citations
10.
Compaire, Nicolas, Ludovic Margerin, R. García, et al.. (2021). Autocorrelation of the Ground Vibrations Recorded by the SEIS‐InSight Seismometer on Mars. Journal of Geophysical Research Planets. 126(4). 33 indexed citations
11.
Jones, Glenn, et al.. (2021). Uppermost crustal structure regulates the flow of the Greenland Ice Sheet. Nature Communications. 12(1). 7307–7307. 7 indexed citations
12.
Schimmel, Martín, É. Stutzmann, Philippe Lognonné, et al.. (2021). Seismic Noise Autocorrelations on Mars. Earth and Space Science. 8(6). 32 indexed citations
13.
Ayarza, P., et al.. (2020). What can seismic noise tell us about the Alpine reactivation of the Iberian Massif? An example in the Iberian Central System. Solid Earth. 11(6). 2499–2513. 10 indexed citations
14.
Draganov, Deyan, Martín Schimmel, P. Ayarza, et al.. (2019). Lithospheric image of the Central Iberian Zone (Iberian Massif) using global-phase seismic interferometry. Solid Earth. 10(6). 1937–1950. 18 indexed citations
15.
Schimmel, Martín, et al.. (2018). ConstrainingS-wave velocity using Rayleigh wave ellipticity from polarization analysis of seismic noise. Geophysical Journal International. 216(3). 1817–1830. 22 indexed citations
16.
Silveira, Graça, É. Stutzmann, Martín Schimmel, et al.. (2016). Anisotropic Tomography of Portugal (West Iberia) from ambient seismic noise. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1 indexed citations
17.
Gualtieri, Lucia, É. Stutzmann, Yann Capdeville, et al.. (2013). Modeling secondary microseismic noise by normal mode summation. EGU General Assembly Conference Abstracts. 5 indexed citations
18.
Ventosa, Sergi, Carine Simon, & Martín Schimmel. (2012). Window length selection for optimum slowness resolution of the local-slant-stack transform. Geophysics. 77(2). V31–V40. 12 indexed citations
19.
Schimmel, Martín, et al.. (2012). Teleseismic receiver function analysis in Tierra del Fuego Island: an estimation of crustal thickness and Vp/Vs velocity ratio. EGUGA. 837. 2 indexed citations
20.
VanDecar, J. C., Paul G. Silver, David E. James, et al.. (2003). Mantle Structure Beneath Central South America. AGU Fall Meeting Abstracts. 2003.

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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