C. A. Dalton

3.2k total citations · 1 hit paper
45 papers, 2.5k citations indexed

About

C. A. Dalton is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, C. A. Dalton has authored 45 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Geophysics, 4 papers in Ocean Engineering and 4 papers in Artificial Intelligence. Recurrent topics in C. A. Dalton's work include High-pressure geophysics and materials (36 papers), earthquake and tectonic studies (32 papers) and Seismic Waves and Analysis (24 papers). C. A. Dalton is often cited by papers focused on High-pressure geophysics and materials (36 papers), earthquake and tectonic studies (32 papers) and Seismic Waves and Analysis (24 papers). C. A. Dalton collaborates with scholars based in United States, China and Mexico. C. A. Dalton's co-authors include A. Gale, C. H. Langmuir, Yongjun Su, Jean‐Guy Schilling, Göran Ekström, Adam M. Dziewoński, J. B. Gaherty, Zhitu Ma, K. M. Fischer and U. Faul and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Earth and Planetary Science Letters.

In The Last Decade

C. A. Dalton

42 papers receiving 2.5k citations

Hit Papers

The mean composition of ocean ridge basalts 2012 2026 2016 2021 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. A. Dalton United States 19 2.3k 393 205 173 130 45 2.5k
Eric C. Ferré United States 30 2.4k 1.0× 559 1.4× 169 0.8× 376 2.2× 89 0.7× 101 2.7k
E. M. Syracuse United States 17 3.2k 1.4× 359 0.9× 140 0.7× 113 0.7× 69 0.5× 43 3.3k
Fabio A. Capitanio Australia 34 3.7k 1.6× 446 1.1× 94 0.5× 172 1.0× 127 1.0× 81 3.9k
Lyal B. Harris Australia 29 2.0k 0.8× 634 1.6× 111 0.5× 201 1.2× 194 1.5× 64 2.2k
Derrick Hasterok Australia 21 1.3k 0.6× 297 0.8× 97 0.5× 235 1.4× 93 0.7× 51 1.6k
Caroline Martel France 25 1.9k 0.8× 333 0.8× 145 0.7× 271 1.6× 55 0.4× 57 2.1k
Naoto Hirano Japan 24 1.4k 0.6× 175 0.4× 176 0.9× 274 1.6× 77 0.6× 67 1.6k
Yoshihiko Tamura Japan 28 2.3k 1.0× 507 1.3× 207 1.0× 326 1.9× 92 0.7× 93 2.5k
K. Johnson United States 20 3.0k 1.3× 630 1.6× 263 1.3× 208 1.2× 80 0.6× 41 3.2k
Didier Marquer France 27 2.2k 0.9× 340 0.9× 89 0.4× 304 1.8× 114 0.9× 67 2.3k

Countries citing papers authored by C. A. Dalton

Since Specialization
Citations

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

Fields of papers citing papers by C. A. Dalton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. A. Dalton

This figure shows the co-authorship network connecting the top 25 collaborators of C. A. Dalton. A scholar is included among the top collaborators of C. A. Dalton 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 C. A. Dalton. C. A. Dalton 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
2.
Dalton, C. A., et al.. (2025). A New Approach to Constrain Crustal Vp/Vs From Rayleigh Wave Phase Velocity and Local Amplification: Application to the Western US. Geophysical Research Letters. 52(6). 1 indexed citations
3.
Ma, Zhitu, et al.. (2024). Choosing Appropriate Regularization Parameters by Splitting Data into Training and Validation Sets—Application in Global Surface-Wave Tomography. Seismological Research Letters. 95(5). 3029–3041. 2 indexed citations
4.
Hafner, K., C. A. Dalton, Megan P. Flanagan, et al.. (2023). Inconsistent Citation of the Global Seismographic Network in Scientific Publications. Seismological Research Letters. 95(3). 1478–1485.
5.
Tsai, Victor C., Christian Huber, & C. A. Dalton. (2023). Towards the geological parametrization of seismic tomography. Geophysical Journal International. 234(2). 1447–1462. 10 indexed citations
6.
Russell, Joshua B. & C. A. Dalton. (2022). Rayleigh Wave Attenuation and Amplification Measured at Ocean‐Bottom Seismometer Arrays Using Helmholtz Tomography. Journal of Geophysical Research Solid Earth. 127(10). 7 indexed citations
7.
Fischer, K. M., et al.. (2022). Variations in Lithospheric Thickness Across the Denali Fault and in Northern Alaska. Geophysical Research Letters. 49(24). 7 indexed citations
8.
Herbert, Timothy D., et al.. (2022). Tectonic degassing drove global temperature trends since 20 Ma. Science. 377(6601). 116–119. 56 indexed citations
9.
Dalton, C. A., et al.. (2021). Controls on surface wave overtone interference. Geophysical Journal International. 228(3). 1665–1683. 15 indexed citations
10.
Fischer, K. M., Catherine A. Rychert, C. A. Dalton, et al.. (2020). A comparison of oceanic and continental mantle lithosphere. Physics of The Earth and Planetary Interiors. 309. 106600–106600. 34 indexed citations
11.
Dalton, C. A., et al.. (2019). A comparison of approaches for the prediction and inversion of surface wave phase delays. Geophysical Journal International. 217(3). 1496–1514. 4 indexed citations
12.
Ma, Zeyu, C. A. Dalton, Donald W. Forsyth, & J. B. Gaherty. (2018). Seismic attenuation structure of the Pacific upper mantle in the NoMelt experiment region as constrained by Rayleigh waves from earthquakes. AGUFM. 2018.
13.
Dalton, C. A., et al.. (2017). Seafloor age dependence of Rayleigh wave phase velocities in the Indian Ocean. Geochemistry Geophysics Geosystems. 18(5). 1926–1942. 7 indexed citations
14.
Bao, Xueyang, C. A. Dalton, Ge Jin, J. B. Gaherty, & Yang Shen. (2016). Imaging Rayleigh wave attenuation with USArray. Geophysical Journal International. 206(1). 241–259. 25 indexed citations
15.
Bao, Xueyang, C. A. Dalton, & Jeroen Ritsema. (2016). Effects of elastic focusing on global models of Rayleigh wave attenuation. Geophysical Journal International. 207(2). 1062–1079. 17 indexed citations
16.
Dalton, C. A., Vala Hjörleifsdóttir, & Göran Ekström. (2013). A comparison of approaches to the prediction of surface wave amplitude. Geophysical Journal International. 196(1). 386–404. 17 indexed citations
17.
Gale, A., C. A. Dalton, C. H. Langmuir, Yongjun Su, & Jean‐Guy Schilling. (2012). The mean composition of ocean ridge basalts. Geochemistry Geophysics Geosystems. 14(3). 489–518. 1295 indexed citations breakdown →
18.
Dalton, C. A., Göran Ekström, & Adam M. Dziewoński. (2009). Global seismological shear velocity and attenuation: A comparison with experimental observations. Earth and Planetary Science Letters. 284(1-2). 65–75. 77 indexed citations
19.
Dalton, C. A. & Göran Ekström. (2005). Seismic-wave Attenuation in the Asthenosphere. AGUFM. 2005. 1 indexed citations
20.
Dalton, C. A. & Göran Ekström. (2004). Upper-mantle attenuation structure as revealed by surface-wave amplitudes. 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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