S. E. Minson

3.5k total citations · 1 hit paper
63 papers, 2.7k citations indexed

About

S. E. Minson is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, S. E. Minson has authored 63 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Geophysics, 38 papers in Artificial Intelligence and 4 papers in Civil and Structural Engineering. Recurrent topics in S. E. Minson's work include earthquake and tectonic studies (45 papers), Seismology and Earthquake Studies (36 papers) and Seismic Waves and Analysis (35 papers). S. E. Minson is often cited by papers focused on earthquake and tectonic studies (45 papers), Seismology and Earthquake Studies (36 papers) and Seismic Waves and Analysis (35 papers). S. E. Minson collaborates with scholars based in United States, Japan and France. S. E. Minson's co-authors include M. Simons, James L. Beck, E. S. Cochran, Douglas S. Dreger, S. E. Owen, J. R. Murray, A. Baltay, A. W. Moore, Junle Jiang and Hiroo Kanamori and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

S. E. Minson

59 papers receiving 2.6k citations

Hit Papers

The 2011 Magnitude 9.0 To... 2011 2026 2016 2021 2011 200 400 600

Author Peers

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

Author Last Decade Papers Cites
S. E. Minson 2.3k 1.1k 191 126 111 63 2.7k
Aditya Riadi Gusman 2.0k 0.9× 494 0.5× 319 1.7× 48 0.4× 214 1.9× 86 2.2k
Anthony Sladen 3.7k 1.6× 616 0.6× 248 1.3× 162 1.3× 238 2.1× 78 4.1k
Shinji Toda 4.3k 1.9× 656 0.6× 273 1.4× 69 0.5× 288 2.6× 119 4.7k
Jim Mori 3.6k 1.6× 696 0.7× 162 0.8× 61 0.5× 315 2.8× 101 3.9k
Yuichiro Tanioka 3.4k 1.5× 704 0.7× 516 2.7× 65 0.5× 292 2.6× 123 3.7k
Philippe Jousset 1.9k 0.8× 479 0.5× 195 1.0× 123 1.0× 192 1.7× 104 2.6k
Phil R. Cummins 3.5k 1.5× 469 0.4× 364 1.9× 76 0.6× 350 3.2× 124 3.9k
Cheng‐Horng Lin 1.8k 0.8× 461 0.4× 125 0.7× 63 0.5× 81 0.7× 141 2.4k
Keith D. Koper 3.9k 1.7× 824 0.8× 178 0.9× 47 0.4× 227 2.0× 121 4.2k
Masato Iguchi 1.7k 0.7× 391 0.4× 581 3.0× 161 1.3× 49 0.4× 176 2.4k

Countries citing papers authored by S. E. Minson

Since Specialization
Citations

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

Fields of papers citing papers by S. E. Minson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. E. Minson. 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 S. E. Minson. The network helps show where S. E. Minson may publish in the future.

Co-authorship network of co-authors of S. E. Minson

This figure shows the co-authorship network connecting the top 25 collaborators of S. E. Minson. A scholar is included among the top collaborators of S. E. Minson 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 S. E. Minson. S. E. Minson 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.
Cochran, E. S., S. E. Minson, N. van der Elst, et al.. (2025). Mechanics and Statistics of Postseismic Shaking. Geophysical Research Letters. 52(18). 1 indexed citations
2.
Saunders, J. K., S. E. Minson, A. Baltay, et al.. (2025). What 25+ Years of “Did You Feel It” Intensities Tell Us About Shaking in California. Seismological Research Letters. 96(4). 2625–2637.
3.
Minson, S. E.. (2024). Cross-fade sampling: extremely efficient Bayesian inversion for a variety of geophysical problems. Geophysical Journal International. 239(3). 1629–1649.
4.
Saunders, J. K., A. Baltay, S. E. Minson, & Maren Böse. (2024). Uncertainty in Ground-Motion-to-Intensity Conversions Significantly Affects Earthquake Early Warning Alert Regions. SHILAP Revista de lepidopterología. 4(2). 121–130. 5 indexed citations
5.
Cochran, E. S., et al.. (2024). GRAPES: Earthquake Early Warning by Passing Seismic Vectors Through the Grapevine. Geophysical Research Letters. 51(9). 3 indexed citations
7.
Brooks, B. A., Dara E. Goldberg, T. L. Ericksen, et al.. (2023). Rapid shallow megathrust afterslip from the 2021 M8.2 Chignik, Alaska earthquake revealed by seafloor geodesy. Science Advances. 9(17). eadf9299–eadf9299. 21 indexed citations
8.
Cochran, E. S., J. K. Saunders, S. E. Minson, et al.. (2022). Alert Optimization of the PLUM Earthquake Early Warning Algorithm for the Western United States. Bulletin of the Seismological Society of America. 112(2). 803–819. 10 indexed citations
9.
Saunders, J. K., S. E. Minson, A. Baltay, et al.. (2022). Real-Time Earthquake Detection and Alerting Behavior of PLUM Ground-Motion-Based Early Warning in the United States. Bulletin of the Seismological Society of America. 112(5). 2668–2688. 6 indexed citations
10.
Saunders, J. K., S. E. Minson, & A. Baltay. (2022). How Low Should We Alert? Quantifying Intensity Threshold Alerting Strategies for Earthquake Early Warning in the United States. Earth s Future. 10(3). 17 indexed citations
11.
Brooks, B. A., Marino Protti, T. L. Ericksen, et al.. (2021). Robust Earthquake Early Warning at a Fraction of the Cost: ASTUTI Costa Rica. SHILAP Revista de lepidopterología. 2(3). 24 indexed citations
12.
Kilb, D., Julian Bunn, J. K. Saunders, et al.. (2021). The PLUM Earthquake Early Warning Algorithm: A Retrospective Case Study of West Coast, USA, Data. Journal of Geophysical Research Solid Earth. 126(7). 15 indexed citations
13.
Murray, J. R., Eric M. Thompson, A. Baltay, & S. E. Minson. (2021). The Impact of 3D Finite-Fault Information on Ground-Motion Forecasting for Earthquake Early Warning. Bulletin of the Seismological Society of America. 112(2). 779–802. 5 indexed citations
14.
Pollitz, Fred F., J. R. Murray, S. E. Minson, et al.. (2019). Observations and models of crustal deformation transients following the 2019 Ridgecrest, California, earthquake sequence. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
15.
Minson, S. E., Men‐Andrin Meier, A. Baltay, Thomas C. Hanks, & E. S. Cochran. (2018). The limits of earthquake early warning: Timeliness of ground motion estimates. Science Advances. 4(3). eaaq0504–eaaq0504. 122 indexed citations
16.
Murray, J. R., Evelyn Roeloffs, B. A. Brooks, et al.. (2018). Leveraging geodetic data to reduce losses from earthquakes. Antarctica A Keystone in a Changing World. 2 indexed citations
17.
Lapôtre, M. G. A., B. L. Ehlmann, S. E. Minson, et al.. (2017). Compositional variations in sands of the Bagnold Dunes, Gale crater, Mars, from visible‐shortwave infrared spectroscopy and comparison with ground truth from the Curiosity rover. Journal of Geophysical Research Planets. 122(12). 2489–2509. 60 indexed citations
18.
Brooks, B. A., S. E. Minson, Craig Glennie, et al.. (2017). Buried shallow fault slip from the South Napa earthquake revealed by near-field geodesy. Science Advances. 3(7). e1700525–e1700525. 58 indexed citations
19.
Minson, S. E., Szu‐Hsien Wu, James L. Beck, & T. H. Heaton. (2015). Combining Multiple Rupture Models in Real-Time for Earthquake Early Warning. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
20.
Lapôtre, M. G. A., B. L. Ehlmann, F. Ayoub, et al.. (2015). The Bagnold Dunes at Gale Crater — A Key to Reading the Geologic Record of Mount Sharp. LPI. 1634. 3 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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