P. Martín

8.4k total citations · 4 hit papers
172 papers, 5.9k citations indexed

About

P. Martín is a scholar working on Geophysics, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, P. Martín has authored 172 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Geophysics, 36 papers in Civil and Structural Engineering and 29 papers in Artificial Intelligence. Recurrent topics in P. Martín's work include earthquake and tectonic studies (104 papers), Seismic Waves and Analysis (53 papers) and High-pressure geophysics and materials (40 papers). P. Martín is often cited by papers focused on earthquake and tectonic studies (104 papers), Seismic Waves and Analysis (53 papers) and High-pressure geophysics and materials (40 papers). P. Martín collaborates with scholars based in Saudi Arabia, United States and Switzerland. P. Martín's co-authors include Gregory C. Beroza, K. K. S. Thingbaijam, Walter Imperatori, Luigi Lombardo, L. A. Dalguer, Jean‐Paul Ampuero, Katsuichiro Goda, Martin Gális, Alice‐Agnes Gabriel and Frédéric Cappa and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

P. Martín

158 papers receiving 5.7k citations

Hit Papers

A spatial random field model to characterize complexity i... 2002 2026 2010 2018 2002 2017 2017 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Martín Saudi Arabia 39 4.5k 1.4k 789 564 312 172 5.9k
Torsten Dahm Germany 48 5.8k 1.3× 362 0.3× 1.2k 1.5× 436 0.8× 336 1.1× 251 7.6k
Hiroshi Sato Japan 34 2.2k 0.5× 297 0.2× 396 0.5× 994 1.8× 745 2.4× 248 4.2k
Max Wyss United States 51 8.6k 1.9× 612 0.4× 2.1k 2.7× 229 0.4× 223 0.7× 203 9.3k
Frédéric Masson France 37 3.8k 0.8× 168 0.1× 342 0.4× 357 0.6× 692 2.2× 151 5.5k
S. E. Hough United States 39 5.0k 1.1× 2.1k 1.5× 764 1.0× 367 0.7× 185 0.6× 165 5.6k
Fabrice Cotton Germany 54 8.0k 1.8× 5.8k 4.2× 1.1k 1.4× 840 1.5× 276 0.9× 227 9.9k
Dino Bindi Germany 42 4.6k 1.0× 3.3k 2.4× 1.0k 1.3× 352 0.6× 103 0.3× 198 5.7k
M. van der Meijde Netherlands 31 1.3k 0.3× 205 0.2× 1.7k 2.1× 647 1.1× 379 1.2× 106 4.2k
Yan Lavallée United Kingdom 43 3.6k 0.8× 117 0.1× 378 0.5× 437 0.8× 567 1.8× 136 4.8k
Chyi‐Tyi Lee Taiwan 29 990 0.2× 1.0k 0.8× 117 0.1× 1.2k 2.0× 401 1.3× 58 2.5k

Countries citing papers authored by P. Martín

Since Specialization
Citations

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

Fields of papers citing papers by P. Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Martín

This figure shows the co-authorship network connecting the top 25 collaborators of P. Martín. A scholar is included among the top collaborators of P. Martín 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 P. Martín. P. Martín 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.
Li, Bo, Sigurjón Jónsson, Jihong Liu, et al.. (2025). Seismic gap breached by the 2025 Mw 7.7 Mandalay (Myanmar) earthquake. Nature Geoscience. 18(12). 1287–1295.
2.
Ezekiel, Justin, et al.. (2024). Techno-economic assessment of large-scale sedimentary basin stored–CO2 geothermal power generation. Applied Energy. 376. 124270–124270. 11 indexed citations
3.
Yalcin, B., Justin Ezekiel, & P. Martín. (2024). Potential for CO2 plume geothermal and CO2 storage in an onshore Red Sea Rift basin, Al-Wajj, Saudi Arabia: 3D reservoir modeling and simulations. Geothermics. 119. 102966–102966. 9 indexed citations
4.
Gerstenberger, Matthew C., Allison L. Bent, P. Martín, & John Townend. (2024). Introduction to the BSSA Special Issue and SRL Focus Section on Seismic Hazard Models. Seismological Research Letters. 95(1). 4–9.
5.
Dahal, Ashok, Hakan Tanyaş, C.J. van Westen, et al.. (2024). Space–time landslide hazard modeling via Ensemble Neural Networks. Natural hazards and earth system sciences. 24(3). 823–845. 18 indexed citations
6.
Lima, Ricardo, et al.. (2024). Addressing extreme weather events for the renewable power-water-heating sectors in Neom, Saudi Arabia. Communications Earth & Environment. 5(1). 1 indexed citations
7.
Dahal, Ashok, Hakan Tanyaş, P. Martín, et al.. (2024). Quantifying the influence of topographic amplification on the landslides triggered by the 2015 Gorkha earthquake. Communications Earth & Environment. 5(1). 7 indexed citations
9.
Gerstenberger, Matthew C., Allison L. Bent, P. Martín, & John Townend. (2024). Introduction to the BSSA Special Issue and SRL Focus Section on Seismic Hazard Models. Bulletin of the Seismological Society of America. 114(1). 1–6.
10.
Martín, P., et al.. (2023). Resolution and trade-offs in global anelastic full-waveform inversion. Geophysical Journal International. 236(2). 952–966.
11.
Martín, P., et al.. (2023). Stochastic Ground-Motion Simulation of the 2021 Mw 5.9 Woods Point Earthquake: Facilitating Local Probabilistic Seismic Hazard Analysis in Australia. Bulletin of the Seismological Society of America. 113(5). 2119–2143. 4 indexed citations
12.
Ben‐Zion, Yehuda, Gregory C. Beroza, Marco Bohnhoff, Alice‐Agnes Gabriel, & P. Martín. (2022). A Grand Challenge International Infrastructure for Earthquake Science. Seismological Research Letters. 93(6). 2967–2968. 15 indexed citations
13.
Raghukanth, S. T. G., et al.. (2021). Hybrid broadband ground motion simulations in the Indo-Gangetic basin for great Himalayan earthquake scenarios. Bulletin of Earthquake Engineering. 19(9). 3319–3348. 9 indexed citations
14.
Wikelski, Martin, Paola Scocco, Andrea Catorci, et al.. (2020). Potential short‐term earthquake forecasting by farm animal monitoring. Ethology. 126(9). 931–941. 25 indexed citations
15.
Vasyura‐Bathke, Hannes, Jan Dettmer, Andreas Steinberg, et al.. (2019). BEAT - Bayesian Earthquake Analysis Tool. 12 indexed citations
16.
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
17.
Lombardo, Luigi, Sergio Saia, Calogero Schillaci, P. Martín, & Raphaël Huser. (2018). Modeling soil organic carbon with Quantile Regression: Dissecting predictors’ effects on carbon stocks. CINECA IRIS Institutial research information system (University of Pisa). 44 indexed citations
18.
Martín, P., et al.. (2018). Monitoring pre-seismic activity changes in a domestic animal collective in Central Italy. Unicam Scientific Publications (University of Camerino). 20. 19348–19348. 2 indexed citations
19.
Gallovič, František, Walter Imperatori, & P. Martín. (2014). Effects of three‐dimensional crustal structure and smoothing constraint on earthquake slip inversions: Case study of the Mw 6.3 2009 L'Aquila earthquake. Journal of Geophysical Research Solid Earth. 120(1). 428–449. 61 indexed citations
20.
Razafindrakoto, Hoby N. T., Ling Zhang, K. K. S. Thingbaijam, P. Martín, & Marc G. Genton. (2014). An embedding method to quantify rupture model variation. EGUGA. 3920. 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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