G. A. Prieto

4.0k total citations
76 papers, 3.1k citations indexed

About

G. A. Prieto is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, G. A. Prieto has authored 76 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Geophysics, 22 papers in Artificial Intelligence and 10 papers in Civil and Structural Engineering. Recurrent topics in G. A. Prieto's work include earthquake and tectonic studies (40 papers), Seismic Waves and Analysis (35 papers) and Seismology and Earthquake Studies (21 papers). G. A. Prieto is often cited by papers focused on earthquake and tectonic studies (40 papers), Seismic Waves and Analysis (35 papers) and Seismology and Earthquake Studies (21 papers). G. A. Prieto collaborates with scholars based in United States, Colombia and France. G. A. Prieto's co-authors include Gregory C. Beroza, J. F. Lawrence, Peter M. Shearer, F. L. Vernon, Robert L. Parker, Egill Hauksson, A. Baltay, Marine Denolle, M. A. Florez and Piero Poli and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

G. A. Prieto

69 papers receiving 3.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G. A. Prieto	2.8k	635	439	288	116	76	3.1k
Takuto Maeda	2.4k 0.9×	580 0.9×	198 0.5×	165 0.6×	76 0.7×	91	2.7k
Shin’ichi Sakai	2.8k 1.0×	662 1.0×	268 0.6×	117 0.4×	103 0.9×	134	3.0k
Keith D. Koper	3.9k 1.4×	824 1.3×	227 0.5×	202 0.7×	139 1.2×	121	4.2k
Paul Bodin	3.6k 1.3×	1.0k 1.6×	488 1.1×	307 1.1×	134 1.2×	89	4.1k
Bor‐Shouh Huang	3.5k 1.3×	562 0.9×	487 1.1×	367 1.3×	51 0.4×	170	3.8k
Takashi Furumura	2.6k 0.9×	359 0.6×	650 1.5×	165 0.6×	63 0.5×	121	2.8k
Alexandros Savvaidis	2.0k 0.7×	566 0.9×	620 1.4×	455 1.6×	41 0.4×	139	2.2k
Kazuki Koketsu	2.9k 1.0×	391 0.6×	1.2k 2.7×	220 0.8×	62 0.5×	140	3.3k
Anthony Lomax	2.3k 0.8×	1.0k 1.6×	176 0.4×	225 0.8×	50 0.4×	91	2.5k
Michael Asten	2.0k 0.7×	353 0.6×	617 1.4×	861 3.0×	133 1.1×	128	2.2k

Countries citing papers authored by G. A. Prieto

Since Specialization

Citations

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

Fields of papers citing papers by G. A. Prieto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. A. Prieto. 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 G. A. Prieto. The network helps show where G. A. Prieto may publish in the future.

Co-authorship network of co-authors of G. A. Prieto

This figure shows the co-authorship network connecting the top 25 collaborators of G. A. Prieto. A scholar is included among the top collaborators of G. A. Prieto 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 G. A. Prieto. G. A. Prieto 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

Prieto, G. A., et al.. (2025). Deep‐Focus Earthquakes in Warm Slabs: Seismic Source Parameters in the Peru‐Brazil Region. Journal of Geophysical Research Solid Earth. 130(2). 1 indexed citations

Prieto, G. A. & Monica D. Kohler. (2024). Time‐varying damping ratios and velocities in a high‐rise during earthquakes and ambient vibrations from coda wave interferometry. Earthquake Spectra. 40(3). 2092–2115. 1 indexed citations

Levander, A., et al.. (2024). 3D Shear Velocity Structure of the Caribbean—Northwestern South America Subduction Zone From Ambient Noise and Ballistic Rayleigh Wave Tomography. Geochemistry Geophysics Geosystems. 25(9).

Шапиро, Н. М., et al.. (2024). Differential Phase Analysis for Volcanic Tremor Detection and Source Location. Journal of Geophysical Research Solid Earth. 129(10).

Julià, Jordi, et al.. (2024). Deep‐Focus Earthquake Mechanisms at the Subducting Nazca Plate (Peru‐Brazil Border): Cold Slab Behavior in a Warm Plate. Earth and Space Science. 11(10). 2 indexed citations

Prieto, G. A., et al.. (2024). Colombian Seismic Monitoring Using Advanced Machine-Learning Algorithms. Seismological Research Letters. 95(5). 2971–2985. 2 indexed citations

Prieto, G. A., et al.. (2023). Tectonic setting of the northwestern andes Constrained by a high-resolution earthquake catalog: Block Kinematics. Journal of South American Earth Sciences. 134. 104761–104761. 2 indexed citations

Centeno, Pablo Vega, et al.. (2022). Urban Structure and Mobility Conditions in the Popular Peripheries of Lima and Bogotá: Challenges and Method of Analysis. Repositorio Institucional E-DocUR (Universidad Del Rosario). 2 indexed citations

Poli, Piero, et al.. (2016). Earthquakes initiation and thermal shear instability in the Hindu Kush intermediate depth nest. Geophysical Research Letters. 43(4). 1537–1542. 34 indexed citations

10.

Mordret, Aurélien, T. Dylan Mikesell, Christopher Harig, Bradley P. Lipovsky, & G. A. Prieto. (2016). Monitoring southwest Greenland’s ice sheet melt with ambient seismic noise. Science Advances. 2(5). e1501538–e1501538. 80 indexed citations

11.

Prieto, G. A., et al.. (2012). Earthquake source scaling, stress drops and seismic efficiency of intermediate-depth earthquakes. EGU General Assembly Conference Abstracts. 14. 5287. 2 indexed citations

12.

Prieto, G. A., et al.. (2012). Earthquake nests as natural laboratories for the study of intermediate-depth earthquake mechanics. Tectonophysics. 570-571. 42–56. 92 indexed citations

13.

Prieto, G. A., et al.. (2011). Earthquake source scaling, stress drops and radiated seismic energies of intermediate depth earthquakes. AGU Fall Meeting Abstracts. 2011. 1 indexed citations

14.

Prieto, G. A., Marine Denolle, J. F. Lawrence, & Gregory C. Beroza. (2011). On amplitude information carried by the ambient seismic field. Comptes Rendus Géoscience. 343(8-9). 600–614. 78 indexed citations

15.

López, Gabriel A. & G. A. Prieto. (2010). Earthquake scaling of intermediate-depth earthquakes in the Bucaramanga Nest. AGUFM. 2010. 1 indexed citations

16.

Prieto, G. A., et al.. (2009). Predicting Earthquake Response of Civil Structures from Ambient Noise. AGU Fall Meeting Abstracts. 2009. 2 indexed citations

17.

Prieto, G. A.. (2007). Improving earthquake source spectrum estimation using multitaper techniques. eScholarship (California Digital Library). 2 indexed citations

18.

Prieto, G. A., et al.. (2004). Source scaling and self-similarity estimation by stacking P and S spectra. Seismological Research Letters. 75(2). 287. 1 indexed citations

19.

Prieto, G. A., Peter M. Shearer, F. L. Vernon, & D. Kilb. (2004). Earthquake source scaling and self‐similarity estimation from stacking P and S spectra. Journal of Geophysical Research Atmospheres. 109(B8). 177 indexed citations

20.

Prieto, G. A., Peter M. Shearer, D. Kilb, & F. L. Vernon. (2003). Earthquake source scaling and self-similarity estimation by stacking P and S spectra. AGU Fall Meeting Abstracts. 2003. 11 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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