Amanda M. Thomas

2.1k total citations
55 papers, 1.5k citations indexed

About

Amanda M. Thomas is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Amanda M. Thomas has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Geophysics, 15 papers in Artificial Intelligence and 2 papers in Civil and Structural Engineering. Recurrent topics in Amanda M. Thomas's work include earthquake and tectonic studies (49 papers), High-pressure geophysics and materials (26 papers) and Geological and Geochemical Analysis (19 papers). Amanda M. Thomas is often cited by papers focused on earthquake and tectonic studies (49 papers), High-pressure geophysics and materials (26 papers) and Geological and Geochemical Analysis (19 papers). Amanda M. Thomas collaborates with scholars based in United States, Canada and France. Amanda M. Thomas's co-authors include Roland Bürgmann, R. M. Nadeau, D. R. Shelly, M. G. Bostock, N. M. Beeler, Diego Melgar, Quentin Blétery, Allan M. Rubin, A. W. Rempel and Valerie J. Sahakian and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

Amanda M. Thomas

50 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda M. Thomas United States 23 1.4k 288 62 55 51 55 1.5k
Kazutoshi Imanishi Japan 20 1.3k 0.9× 302 1.0× 37 0.6× 33 0.6× 82 1.6× 73 1.3k
Ryosuke Ando Japan 21 1.0k 0.7× 204 0.7× 70 1.1× 28 0.5× 68 1.3× 52 1.2k
Tomomi Okada Japan 33 3.0k 2.0× 408 1.4× 37 0.6× 67 1.2× 116 2.3× 112 3.1k
Hannes Vasyura‐Bathke Germany 12 641 0.4× 231 0.8× 28 0.5× 35 0.6× 24 0.5× 27 694
Ivan Lokmer Ireland 20 975 0.7× 261 0.9× 21 0.3× 128 2.3× 29 0.6× 49 1.0k
Masatoshi Miyazawa Japan 17 1.0k 0.7× 264 0.9× 37 0.6× 109 2.0× 60 1.2× 58 1.2k
Νikolaos S. Melis Greece 20 830 0.6× 179 0.6× 20 0.3× 62 1.1× 119 2.3× 57 910
Relu Burlacu United States 17 704 0.5× 229 0.8× 26 0.4× 97 1.8× 37 0.7× 33 737
Renata Dmowska United States 23 1.6k 1.1× 195 0.7× 151 2.4× 60 1.1× 135 2.6× 42 1.8k
Dimitri Zigone France 17 1.1k 0.7× 318 1.1× 46 0.7× 148 2.7× 26 0.5× 42 1.1k

Countries citing papers authored by Amanda M. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Amanda M. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda M. Thomas. 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 Amanda M. Thomas. The network helps show where Amanda M. Thomas may publish in the future.

Co-authorship network of co-authors of Amanda M. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda M. Thomas. A scholar is included among the top collaborators of Amanda M. Thomas 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 Amanda M. Thomas. Amanda M. Thomas 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.
Shelly, D. R., et al.. (2026). Low-frequency earthquakes track the motion of a captured slab fragment. Science. 391(6782). 294–299.
2.
Thomas, Amanda M., et al.. (2025). Rapid fault healing from cementation controls the dynamics of deep slow slip and tremor. Science Advances. 11(47). eadz2832–eadz2832. 2 indexed citations
3.
Shelly, D. R., Dara E. Goldberg, A. Wech, & Amanda M. Thomas. (2025). A Northeast‐Dipping Zone of Low‐Frequency Earthquakes at the Southern Edge of Cascadia Subduction. Geophysical Research Letters. 52(12). 1 indexed citations
4.
Denolle, Marine, Jannes Münchmeyer, Carlos Suárez, et al.. (2025). A review of cloud computing and storage in seismology. Geophysical Journal International. 243(1).
5.
Denolle, Marine, et al.. (2025). A Global-scale Database of Seismic Phases from Cloud-based Picking at Petabyte Scale. arXiv (Cornell University). 4(2).
6.
Thomas, Amanda M., et al.. (2023). Deep learning for denoising High-Rate Global Navigation Satellite System data. SHILAP Revista de lepidopterología. 2(1). 3 indexed citations
7.
Huang, Yihe, et al.. (2021). Assessing Margin‐Wide Rupture Behaviors Along the Cascadia Megathrust With 3‐D Dynamic Rupture Simulations. Journal of Geophysical Research Solid Earth. 126(7). e2021JB022005–e2021JB022005. 27 indexed citations
8.
Inbal, Asaf, et al.. (2021). Complex Migration of Tremor Near Cholame, CA, Resolved by Seismic Array Analysis. Journal of Geophysical Research Solid Earth. 126(9). 3 indexed citations
9.
Thomas, Amanda M., Asaf Inbal, J. Searcy, D. R. Shelly, & Roland Bürgmann. (2021). Identification of Low‐Frequency Earthquakes on the San Andreas Fault With Deep Learning. Geophysical Research Letters. 48(13). 15 indexed citations
10.
Chamberlain, C. J., et al.. (2021). A Repeating Earthquake Catalog From 2003 to 2020 for the Raukumara Peninsula, Northern Hikurangi Subduction Margin, New Zealand. Geochemistry Geophysics Geosystems. 22(5). 5 indexed citations
11.
Goldberg, Dara E., Diego Melgar, Valerie J. Sahakian, et al.. (2020). Complex Rupture of an Immature Fault Zone: A Simultaneous Kinematic Model of the 2019 Ridgecrest, CA Earthquakes. Geophysical Research Letters. 47(3). 97 indexed citations
12.
Thomas, Amanda M., et al.. (2018). Using Tectonic Tremor to Constrain Seismic Wave Attenuation in Cascadia. Geophysical Research Letters. 45(18). 9579–9587. 9 indexed citations
13.
Blétery, Quentin, Amanda M. Thomas, A. W. Rempel, & Jeanne L. Hardebeck. (2017). Imaging Shear Strength Along Subduction Faults. Geophysical Research Letters. 44(22). 11 indexed citations
14.
Bostock, M. G., Amanda M. Thomas, Allan M. Rubin, & Nikolas I. Christensen. (2017). On corner frequencies, attenuation, and low‐frequency earthquakes. Journal of Geophysical Research Solid Earth. 122(1). 543–557. 24 indexed citations
15.
Thomas, Amanda M., N. M. Beeler, Quentin Blétery, Roland Bürgmann, & D. R. Shelly. (2017). Using Low‐Frequency Earthquake Families on the San Andreas Fault as Deep Creepmeters. Journal of Geophysical Research Solid Earth. 123(1). 457–475. 27 indexed citations
16.
Beeler, N. M., Amanda M. Thomas, Roland Bürgmann, & D. R. Shelly. (2017). Constraints on Friction, Dilatancy, Diffusivity, and Effective Stress From Low‐Frequency Earthquake Rates on the Deep San Andreas Fault. Journal of Geophysical Research Solid Earth. 123(1). 583–605. 14 indexed citations
17.
Thomas, Amanda M.. (2016). Constraints on the Source Parameters of Low-Frequency Earthquakes on the San Andreas Fault. 8 indexed citations
18.
Thomas, Amanda M., et al.. (2014). Tidal modulation and triggering of low‐frequency earthquakes in northern Cascadia. Journal of Geophysical Research Solid Earth. 120(1). 384–405. 57 indexed citations
19.
Thomas, Amanda M., et al.. (2013). Low-frequency earthquakes in central and southern Cascadia. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
20.
Nadeau, R. M., Amanda M. Thomas, & Roland Bürgmann. (2008). Tremor-tide correlations at Parkfield, CA. AGUFM. 2008. 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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