F. A. Darbyshire

2.8k total citations
68 papers, 2.3k citations indexed

About

F. A. Darbyshire is a scholar working on Geophysics, Artificial Intelligence and Geology. According to data from OpenAlex, F. A. Darbyshire has authored 68 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Geophysics, 4 papers in Artificial Intelligence and 4 papers in Geology. Recurrent topics in F. A. Darbyshire's work include earthquake and tectonic studies (53 papers), High-pressure geophysics and materials (52 papers) and Geological and Geochemical Analysis (47 papers). F. A. Darbyshire is often cited by papers focused on earthquake and tectonic studies (53 papers), High-pressure geophysics and materials (52 papers) and Geological and Geochemical Analysis (47 papers). F. A. Darbyshire collaborates with scholars based in Canada, United Kingdom and United States. F. A. Darbyshire's co-authors include David W. Eaton, R. S. White, I. D. Bastow, Keith Priestley, R. L. Evans, Alan G. Jones, Herman Grütter, Xiaohui Yuan, A. W. Frederiksen and Randall Parrish and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Earth and Planetary Science Letters and Geophysical Research Letters.

In The Last Decade

F. A. Darbyshire

65 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. A. Darbyshire Canada 27 2.2k 191 128 112 64 68 2.3k
U. Achauer France 25 2.7k 1.2× 139 0.7× 137 1.1× 188 1.7× 64 1.0× 49 2.8k
Xiaobo Tian China 29 2.6k 1.2× 186 1.0× 66 0.5× 164 1.5× 70 1.1× 93 2.7k
Jianshe Lei China 30 3.4k 1.5× 173 0.9× 76 0.6× 262 2.3× 92 1.4× 103 3.5k
Erwan Hallot France 22 1.4k 0.6× 328 1.7× 154 1.2× 133 1.2× 112 1.8× 40 1.5k
C. D. Rowe Canada 23 1.8k 0.8× 166 0.9× 166 1.3× 65 0.6× 149 2.3× 62 1.9k
Philippe Yamato France 28 2.7k 1.2× 323 1.7× 142 1.1× 90 0.8× 146 2.3× 65 2.9k
L. C. Gregory United Kingdom 12 849 0.4× 183 1.0× 142 1.1× 90 0.8× 24 0.4× 19 927
Kimihiro Mochizuki Japan 25 2.0k 0.9× 265 1.4× 95 0.7× 178 1.6× 42 0.7× 89 2.1k
P. Vergély France 18 1.5k 0.7× 174 0.9× 183 1.4× 197 1.8× 146 2.3× 43 1.6k
Alexey G. Petrunin Germany 16 935 0.4× 159 0.8× 268 2.1× 162 1.4× 106 1.7× 34 1.2k

Countries citing papers authored by F. A. Darbyshire

Since Specialization
Citations

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

Fields of papers citing papers by F. A. Darbyshire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. A. Darbyshire. 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 F. A. Darbyshire. The network helps show where F. A. Darbyshire may publish in the future.

Co-authorship network of co-authors of F. A. Darbyshire

This figure shows the co-authorship network connecting the top 25 collaborators of F. A. Darbyshire. A scholar is included among the top collaborators of F. A. Darbyshire 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 F. A. Darbyshire. F. A. Darbyshire 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.
He, Bin, Kai Wang, Suzan van der Lee, et al.. (2024). Crustal and uppermost mantle structures of the North American Midcontinent Rift revealed by joint full-waveform inversion of ambient-noise data and teleseismic P waves. Earth and Planetary Science Letters. 641. 118797–118797. 1 indexed citations
2.
3.
Yuan, Huaiyu, Vadim Levin, F. A. Darbyshire, & William Menke. (2024). Crust of eastern North America preserves a record of the supercontinent cycle. Geological Society London Special Publications. 557(1). 15–38. 1 indexed citations
4.
Darbyshire, F. A.. (2024). Lithospheric structure and seismic anisotropy of the northern Appalachian region. Geological Society London Special Publications. 557(1). 83–110.
5.
Wysession, M. E., Douglas A. Wiens, Weisen Shen, et al.. (2023). Joint Inversion of SPREE Receiver Functions and Surface Wave Dispersion Curves for 3‐D Crustal and Upper Mantle Structure Beneath the U.S. Midcontinent Rift. Journal of Geophysical Research Solid Earth. 128(12). 1 indexed citations
6.
Parsons, Andrew J., S. Burdick, F. A. Darbyshire, et al.. (2023). A New P‐Wave Tomographic Model (CAP22) for North America: Implications for the Subduction and Cratonic Metasomatic Modification History of Western Canada and Alaska. Journal of Geophysical Research Solid Earth. 128(3). 10 indexed citations
7.
Darbyshire, F. A., et al.. (2022). Crustal Structure Beneath the Northern Appalachians and the Eastern Grenville Province. Journal of Geophysical Research Solid Earth. 127(1). 8 indexed citations
8.
Darbyshire, F. A., et al.. (2021). Lithospheric Structure and Flat‐Slab Subduction in the Northern Appalachians: Evidence From Rayleigh Wave Tomography. Journal of Geophysical Research Solid Earth. 126(4). 9 indexed citations
9.
Frederiksen, A. W., et al.. (2018). Surface-wave images of western Canada: lithospheric variations across the Cordillera–craton boundary. Canadian Journal of Earth Sciences. 55(8). 887–896. 11 indexed citations
10.
Bastow, I. D., et al.. (2018). Precambrian Plate Tectonics in Northern Hudson Bay: Evidence From P and S Wave Seismic Tomography and Analysis of Source Side Effects in Relative Arrival‐Time Data Sets. Journal of Geophysical Research Solid Earth. 123(7). 5690–5709. 12 indexed citations
11.
Frederiksen, A. W., E. Wolin, J. Revenaugh, et al.. (2017). One billion year-old Mid-continent Rift leaves virtually no clues in the mantle. AGUFM. 2017. 1 indexed citations
12.
Foster, A. E., F. A. Darbyshire, & A. J. Schaeffer. (2017). A Surface Wave's View of the Mid-Continent Rift. AGUFM. 2017. 1 indexed citations
13.
Menke, William, et al.. (2016). The Northern Appalachian Anomaly is a Modern Asthenospheric Upwelling. AGU Fall Meeting Abstracts. 2016.
14.
Darbyshire, F. A., et al.. (2016). Moho Depth and Bulk Crustal Properties in Northern Quebec and Labrador. AGU Fall Meeting Abstracts. 2016. 3 indexed citations
15.
Gilligan, Amy, et al.. (2016). Peering beneath the Canadian crust. Astronomy & Geophysics. 57(6). 6.24–6.27. 1 indexed citations
16.
Porritt, Robert, Meghan S. Miller, & F. A. Darbyshire. (2015). Lithospheric architecture beneath Hudson Bay. Archipelago (Université du Québec à Montréal). 1 indexed citations
17.
Menke, William, et al.. (2015). The Seismically Slow Feature in the Asthenosphere Beneath Southern New England is Small and Intense. AGUFM. 2015. 5 indexed citations
18.
Wysession, M. E., Douglas A. Wiens, P. Shore, et al.. (2014). Assessing Microseismicity of the Northern Mid-Continent Rift Zone and Surrounding Regions. 2014 AGU Fall Meeting. 2014. 1 indexed citations
19.
20.
Frederiksen, A. W., et al.. (2005). Variations in Lithospheric Thickness Across the Superior Province, Ontario, Canada: Evidence from Tomography and Shear-Wave Splitting. AGU Fall Meeting Abstracts. 2005. 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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