E. S. Cochran

5.5k total citations · 1 hit paper
123 papers, 4.2k citations indexed

About

E. S. Cochran is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, E. S. Cochran has authored 123 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Geophysics, 66 papers in Artificial Intelligence and 9 papers in Civil and Structural Engineering. Recurrent topics in E. S. Cochran's work include earthquake and tectonic studies (96 papers), Seismology and Earthquake Studies (66 papers) and Seismic Waves and Analysis (61 papers). E. S. Cochran is often cited by papers focused on earthquake and tectonic studies (96 papers), Seismology and Earthquake Studies (66 papers) and Seismic Waves and Analysis (61 papers). E. S. Cochran collaborates with scholars based in United States, Japan and Germany. E. S. Cochran's co-authors include J. E. Vidale, K. M. Keranen, G. A. Abers, H. M. Savage, Zachary E. Ross, Sachiko Tanaka, J. F. Lawrence, S. E. Minson, Daniel T. Trugman and Peter M. Shearer and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

E. S. Cochran

117 papers receiving 4.1k citations

Hit Papers

Potentially induced earthquakes in Oklahoma, USA: Links b... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. S. Cochran United States 32 3.7k 1.8k 344 235 168 123 4.2k
P. S. Earle United States 34 2.7k 0.7× 820 0.5× 308 0.9× 166 0.7× 135 0.8× 79 3.3k
R. M. Allen United States 50 6.4k 1.7× 3.6k 2.0× 294 0.9× 380 1.6× 61 0.4× 173 7.2k
Danijel Schorlemmer Germany 33 4.0k 1.1× 1.8k 1.0× 398 1.2× 140 0.6× 84 0.5× 103 4.4k
Lucile M. Jones United States 34 4.4k 1.2× 1.3k 0.7× 406 1.2× 84 0.4× 67 0.4× 71 4.8k
Arnaud Mignan Switzerland 26 1.6k 0.4× 714 0.4× 350 1.0× 81 0.3× 127 0.8× 73 2.2k
Philippe Jousset Germany 27 1.9k 0.5× 479 0.3× 192 0.6× 407 1.7× 103 0.6× 104 2.6k
S. Mostafa Mousavi United States 26 3.2k 0.8× 2.3k 1.3× 193 0.6× 509 2.2× 201 1.2× 52 3.8k
Egill Hauksson United States 54 9.9k 2.7× 3.7k 2.0× 610 1.8× 397 1.7× 112 0.7× 174 10.4k
G. P. Hayes United States 33 4.8k 1.3× 933 0.5× 391 1.1× 69 0.3× 43 0.3× 98 5.1k
M. R. Brudzinski United States 32 3.5k 1.0× 596 0.3× 83 0.2× 122 0.5× 302 1.8× 105 3.9k

Countries citing papers authored by E. S. Cochran

Since Specialization
Citations

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

Fields of papers citing papers by E. S. Cochran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of E. S. Cochran. A scholar is included among the top collaborators of E. S. Cochran 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 E. S. Cochran. E. S. Cochran 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.
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.
2.
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
3.
Zhang, Xiaojian, Xilei Zhao, Dare A. Baldwin, et al.. (2024). Modeling protective action decision-making in earthquakes by using explainable machine learning and video data. Scientific Reports. 14(1). 5480–5480. 9 indexed citations
4.
Cochran, E. S., A. Baltay, Shanna Chu, et al.. (2024). SCEC/USGS Community Stress-Drop Validation Study: How Spectral Fitting Approaches Influence Measured Source Parameters. Bulletin of the Seismological Society of America. 115(3). 760–776. 10 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.
Cochran, E. S., et al.. (2024). Distinguishing Natural Sources from Anthropogenic Events in Seismic Data. Seismological Research Letters. 96(1). 1–6. 1 indexed citations
8.
Hough, S. E., Robert Graves, E. S. Cochran, et al.. (2024). The 17 January 1994 Northridge, California, Earthquake: A Retrospective Analysis. SHILAP Revista de lepidopterología. 4(3). 151–160. 4 indexed citations
9.
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
10.
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
11.
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
12.
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
13.
Skoumal, Robert J., J. Ole Kaven, Andrew J. Barbour, et al.. (2020). The Induced Mw 5.0 March 2020 West Texas Seismic Sequence. Journal of Geophysical Research Solid Earth. 126(1). 23 indexed citations
14.
Given, Douglas D., R. M. Allen, A. Baltay, et al.. (2018). Revised technical implementation plan for the ShakeAlert system—An earthquake early warning system for the West Coast of the United States. Antarctica A Keystone in a Changing World. 100 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.
Zeng, Xiangfang, C. H. Thurber, D. R. Shelly, et al.. (2014). 3D P and S Wave Velocity Structure and Tremor Locations in the Parkfield Region. 2014 AGU Fall Meeting. 2014. 1 indexed citations
17.
Cochran, E. S., et al.. (2010). High-Resolution Imaging of the San Andreas Fault Damage Zone from SAFOD Main-Hole and Surface Seismic Records. AGU Fall Meeting Abstracts. 2010.
18.
Cochran, E. S., et al.. (2009). Study of Triggered Tremor Characteristics and Triggering Threshold in Anza Region, Southern California. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
19.
Lawrence, J. F., et al.. (2008). Distributed Computing and MEMS Accelerometers: The Quake Catcher Network. AGUFM. 2008. 1 indexed citations
20.
Cochran, E. S., et al.. (2004). Low-Velocity Damaged Structure on the San Andreas Fault at Seismogenic Depths near the SAFOD Drilling Site, Parkfield, CA from Fault-Zone Trapped Waves. AGU Fall Meeting Abstracts. 2004. 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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