Jack B. Muir

468 total citations
19 papers, 306 citations indexed

About

Jack B. Muir is a scholar working on Geophysics, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Jack B. Muir has authored 19 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Geophysics, 5 papers in Artificial Intelligence and 4 papers in Ocean Engineering. Recurrent topics in Jack B. Muir's work include Seismic Imaging and Inversion Techniques (10 papers), Seismic Waves and Analysis (8 papers) and earthquake and tectonic studies (7 papers). Jack B. Muir is often cited by papers focused on Seismic Imaging and Inversion Techniques (10 papers), Seismic Waves and Analysis (8 papers) and earthquake and tectonic studies (7 papers). Jack B. Muir collaborates with scholars based in United States, Australia and United Kingdom. Jack B. Muir's co-authors include Zhongwen Zhan, Victor C. Tsai, Zachary E. Ross, ‪Hrvoje Tkalčić, Kamyar Azizzadenesheli, Yan Yang, Ethan Williams, Zhichao Shen, Maurizio Mattesini and M. K. Young and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Jack B. Muir

18 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack B. Muir United States 10 264 96 79 26 20 19 306
Alexandrine Gesret France 11 270 1.0× 71 0.7× 80 1.0× 9 0.3× 43 2.1× 27 310
Jingnan Li China 10 157 0.6× 65 0.7× 87 1.1× 7 0.3× 43 2.1× 25 280
Hualin Zeng China 12 248 0.9× 49 0.5× 59 0.7× 49 1.9× 17 0.8× 31 370
Lars Krieger Australia 11 368 1.4× 87 0.9× 169 2.1× 14 0.5× 28 1.4× 19 418
Yuansheng Zhang China 10 204 0.8× 77 0.8× 22 0.3× 17 0.7× 23 1.1× 43 320
Hom Nath Gharti United States 10 280 1.1× 100 1.0× 81 1.0× 16 0.6× 47 2.4× 22 356
Ali Siahkoohi United States 10 218 0.8× 66 0.7× 132 1.7× 6 0.2× 57 2.9× 25 303
Michael Afanasiev Switzerland 11 451 1.7× 63 0.7× 88 1.1× 9 0.3× 33 1.6× 29 506
Behrooz Oskooi Iran 15 417 1.6× 60 0.6× 295 3.7× 9 0.3× 21 1.1× 48 473
Sjoerd de Ridder United Kingdom 16 553 2.1× 198 2.1× 249 3.2× 17 0.7× 31 1.6× 48 582

Countries citing papers authored by Jack B. Muir

Since Specialization
Citations

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

Fields of papers citing papers by Jack B. Muir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack B. Muir. 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 Jack B. Muir. The network helps show where Jack B. Muir may publish in the future.

Co-authorship network of co-authors of Jack B. Muir

This figure shows the co-authorship network connecting the top 25 collaborators of Jack B. Muir. A scholar is included among the top collaborators of Jack B. Muir 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 Jack B. Muir. Jack B. Muir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hudson, Thomas, A. Stork, Jack B. Muir, & Andreas Fichtner. (2025). Unlocking DAS amplitude information through coherency coupling quantification. Open MIND. 4(1). 3 indexed citations
2.
Tkalčić, ‪Hrvoje, A. B. Belonoshko, Jack B. Muir, et al.. (2024). Imaging the top of the Earth’s inner core: a present-day flow model. Scientific Reports. 14(1). 8999–8999. 4 indexed citations
3.
Muir, Jack B., Benjamin Fernando, & Elizabeth Ann Barrett. (2023). False positives are common in single-station template matching. SHILAP Revista de lepidopterología. 2(2). 1 indexed citations
4.
Muir, Jack B. & Zachary E. Ross. (2023). A deep Gaussian process model for seismicity background rates. Geophysical Journal International. 234(1). 427–438. 10 indexed citations
5.
Muir, Jack B., Satoru Tanaka, & ‪Hrvoje Tkalčić. (2022). Long‐Wavelength Topography and Multiscale Velocity Heterogeneity at the Core‐Mantle Boundary. Geophysical Research Letters. 49(17). 5 indexed citations
6.
Muir, Jack B., Robert W. Clayton, Victor C. Tsai, & Quentin Brissaud. (2022). Parsimonious Velocity Inversion Applied to the Los Angeles Basin, CA. Journal of Geophysical Research Solid Earth. 127(2). 10 indexed citations
7.
Yang, Yan, et al.. (2021). Sub‐Kilometer Correlation Between Near‐Surface Structure and Ground Motion Measured With Distributed Acoustic Sensing. Geophysical Research Letters. 49(1). 59 indexed citations
8.
Muir, Jack B. & Zhongwen Zhan. (2021). Wavefield-based evaluation of DAS instrument response and array design. Geophysical Journal International. 229(1). 21–34. 19 indexed citations
9.
Muir, Jack B. & Zhongwen Zhan. (2021). Seismic wavefield reconstruction using a pre-conditioned wavelet–curvelet compressive sensing approach. Geophysical Journal International. 227(1). 303–315. 25 indexed citations
10.
Ross, Zachary E., et al.. (2021). HypoSVI: Hypocentre inversion with Stein variational inference and physics informed neural networks. Geophysical Journal International. 228(1). 698–710. 63 indexed citations
11.
Muir, Jack B. & ‪Hrvoje Tkalčić. (2020). Probabilistic lowermost mantle P-wave tomography from hierarchical Hamiltonian Monte Carlo and model parametrization cross-validation. Geophysical Journal International. 223(3). 1630–1643. 13 indexed citations
12.
Muir, Jack B. & Victor C. Tsai. (2020). Did Oldham Discover the Core After All? Handling Imprecise Historical Data with Hierarchical Bayesian Model Selection Methods. Seismological Research Letters. 91(3). 1377–1383. 7 indexed citations
13.
Muir, Jack B. & Victor C. Tsai. (2019). Geometric and level set tomography using ensemble Kalman inversion. Geophysical Journal International. 220(2). 967–980. 30 indexed citations
14.
Muir, Jack B. & Zhongwen Zhan. (2017). Reconstructing the Seismic Wavefield using Curvelets and Distributed Acoustic Sensing. AGUFM. 2017. 1 indexed citations
15.
Muir, Jack B. & Victor C. Tsai. (2017). Rayleigh‐Wave H/V via Noise Cross Correlation in Southern California. Bulletin of the Seismological Society of America. 107(5). 2021–2027. 15 indexed citations
16.
Muir, Jack B. & ‪Hrvoje Tkalčić. (2015). Probabilistic joint inversion of lowermost mantle P-wave velocities and core mantle boundary topography using differential travel times and hierarchical Hamiltonian Monte-Carlo sampling. 2015 AGU Fall Meeting. 2015. 4 indexed citations
17.
Tkalčić, ‪Hrvoje, M. K. Young, Jack B. Muir, D. Rhodri Davies, & Maurizio Mattesini. (2015). Strong, Multi-Scale Heterogeneity in Earth’s Lowermost Mantle. Scientific Reports. 5(1). 18416–18416. 31 indexed citations
18.
Muir, Jack B. & ‪Hrvoje Tkalčić. (2015). A method of spherical harmonic analysis in the geosciences via hierarchical Bayesian inference. Geophysical Journal International. 203(2). 1164–1171. 6 indexed citations
19.
Howard, J., Jack B. Muir, F. Glass, & N. Hicks. (2012). A single-probe-beam double-heterodyne polarimeter-interferometer for plasma Faraday rotation measurements. Journal of Instrumentation. 7(7). P07009–P07009.

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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