Andrew J. Barbour

1.5k total citations
49 papers, 1.1k citations indexed

About

Andrew J. Barbour is a scholar working on Geophysics, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Andrew J. Barbour has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Geophysics, 18 papers in Artificial Intelligence and 6 papers in Mechanical Engineering. Recurrent topics in Andrew J. Barbour's work include earthquake and tectonic studies (33 papers), Seismic Waves and Analysis (27 papers) and Seismology and Earthquake Studies (16 papers). Andrew J. Barbour is often cited by papers focused on earthquake and tectonic studies (33 papers), Seismic Waves and Analysis (27 papers) and Seismology and Earthquake Studies (16 papers). Andrew J. Barbour collaborates with scholars based in United States, United Kingdom and Japan. Andrew J. Barbour's co-authors include William T. Thomson, A. McGarr, J. L. Rubinstein, Jack Norbeck, M. R. Brudzinski, Robert J. Skoumal, Duncan Carr Agnew, Chi‐Yuen Wang, Robert L. Parker and Lian Xue and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Andrew J. Barbour

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Barbour United States 20 799 239 214 190 119 49 1.1k
Sumit Verma United States 15 376 0.5× 191 0.8× 58 0.3× 36 0.2× 221 1.9× 62 580
Satish Sinha India 11 421 0.5× 123 0.5× 53 0.2× 47 0.2× 172 1.4× 28 635
Jianhua Yue China 13 177 0.2× 59 0.2× 40 0.2× 22 0.1× 206 1.7× 71 595
Ursula Iturrarán‐Viveros Mexico 13 481 0.6× 131 0.5× 78 0.4× 13 0.1× 256 2.2× 36 782
Gulan Zhang China 14 316 0.4× 92 0.4× 57 0.3× 36 0.2× 210 1.8× 60 484
Takatoshi Ito Japan 22 467 0.6× 748 3.1× 51 0.2× 16 0.1× 594 5.0× 98 1.4k
Seiji Nakagawa United States 18 490 0.6× 235 1.0× 27 0.1× 9 0.0× 308 2.6× 74 885
Shawn Maxwell British Virgin Islands 16 837 1.0× 855 3.6× 173 0.8× 24 0.1× 683 5.7× 61 1.3k
Arthur Cheng Singapore 16 691 0.9× 292 1.2× 28 0.1× 7 0.0× 566 4.8× 87 1.0k
Flávio Poletto Italy 17 799 1.0× 146 0.6× 88 0.4× 16 0.1× 615 5.2× 123 1.2k

Countries citing papers authored by Andrew J. Barbour

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Barbour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Barbour. 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 Andrew J. Barbour. The network helps show where Andrew J. Barbour may publish in the future.

Co-authorship network of co-authors of Andrew J. Barbour

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Barbour. A scholar is included among the top collaborators of Andrew J. Barbour 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 Andrew J. Barbour. Andrew J. Barbour 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.
McGuire, J. J., Andrew J. Barbour, Craig Stewart, et al.. (2025). The GorDAS Distributed Acoustic Sensing Experiment Above the Cascadia Locked Zone and Subducted Gorda Slab. Seismological Research Letters. 96(4). 2489–2503.
2.
Jiang, Guoyan, et al.. (2024). Relatively stable pressure effects and time-increasing thermal contraction control Heber geothermal field deformation. Nature Communications. 15(1). 5159–5159. 5 indexed citations
3.
Bennett, Richard A., et al.. (2024). Afterslip and Creep in the Rate‐Dependent Framework: Joint Inversion of Borehole Strain and GNSS Displacements for the Mw 7.1 Ridgecrest Earthquake. Journal of Geophysical Research Solid Earth. 129(10). 2 indexed citations
4.
Cochran, E. S., J. L. Rubinstein, Andrew J. Barbour, & J. Ole Kaven. (2024). Induced seismicity strategic vision. U.S. Geological Survey circular. 1 indexed citations
5.
Materna, Kathryn, Andrew J. Barbour, Junle Jiang, & Mariana Eneva. (2022). Detection of Aseismic Slip and Poroelastic Reservoir Deformation at the North Brawley Geothermal Field From 2009 to 2019. Journal of Geophysical Research Solid Earth. 127(5). 10 indexed citations
6.
Fan, Wenyuan, Ryo Okuwaki, Andrew J. Barbour, et al.. (2022). Fast rupture of the 2009Mw 6.9 Canal de Ballenas earthquake in the Gulf of California dynamically triggers seismicity in California. Geophysical Journal International. 230(1). 528–541. 4 indexed citations
7.
Fan, Wenyuan, Andrew J. Barbour, J. J. McGuire, et al.. (2022). Very Low Frequency Earthquakes in Between the Seismogenic and Tremor Zones in Cascadia?. SHILAP Revista de lepidopterología. 3(2). 8 indexed citations
8.
Barbour, Andrew J., et al.. (2021). Earthquake Magnitudes from Dynamic Strain. Bulletin of the Seismological Society of America. 111(3). 1325–1346. 13 indexed citations
9.
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
10.
Fan, Wenyuan, Andrew J. Barbour, E. S. Cochran, & Guoqing Lin. (2020). Characteristics of Frequent Dynamic Triggering of Microearthquakes in Southern California. Journal of Geophysical Research Solid Earth. 126(1). 21 indexed citations
11.
Barbour, Andrew J., et al.. (2020). Kinematic Rupture and 3D Wave Propagation Simulations of the 2019 Mw 7.1 Ridgecrest, California, Earthquake. Bulletin of the Seismological Society of America. 110(4). 1644–1659. 12 indexed citations
12.
Barbour, Andrew J., Lian Xue, Evelyn Roeloffs, & J. L. Rubinstein. (2019). Leakage and Increasing Fluid Pressure Detected in Oklahoma's Wastewater Disposal Reservoir. Journal of Geophysical Research Solid Earth. 124(3). 2896–2919. 28 indexed citations
13.
Skoumal, Robert J., et al.. (2018). Earthquakes Induced by Hydraulic Fracturing Are Pervasive in Oklahoma. Journal of Geophysical Research Solid Earth. 123(12). 80 indexed citations
14.
McGarr, A., Andrew J. Barbour, & Ernest L. Majer. (2018). Reasons to doubt the 15 November 2017 Pohang, South Korea, earthquakes were induced. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
15.
McGarr, A. & Andrew J. Barbour. (2018). Injection‐Induced Moment Release Can Also Be Aseismic. Geophysical Research Letters. 45(11). 5344–5351. 57 indexed citations
16.
Barbour, Andrew J. & Brendan W. Crowell. (2017). Dynamic Strains for Earthquake Source Characterization. Seismological Research Letters. 88(2A). 354–370. 31 indexed citations
17.
Barbour, Andrew J.. (2012). Systematic reduction of pore pressure response near the San Jacinto fault. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
18.
Barbour, Andrew J. & Duncan Carr Agnew. (2011). Co-located pore pressure and volumetric strain at Plate Boundary Observatory boreholes. AGUFM. 2011. 1 indexed citations
19.
Thomson, William T. & Andrew J. Barbour. (2003). The on-line prediction of airgap eccentricity levels in large (MW range) 3-phase induction motors. 383–385. 9 indexed citations
20.

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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