S. R. Ford

1.6k total citations
56 papers, 1.2k citations indexed

About

S. R. Ford is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, S. R. Ford has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Geophysics, 9 papers in Ocean Engineering and 9 papers in Artificial Intelligence. Recurrent topics in S. R. Ford's work include earthquake and tectonic studies (34 papers), Seismic Waves and Analysis (30 papers) and High-pressure geophysics and materials (22 papers). S. R. Ford is often cited by papers focused on earthquake and tectonic studies (34 papers), Seismic Waves and Analysis (30 papers) and High-pressure geophysics and materials (22 papers). S. R. Ford collaborates with scholars based in United States, Italy and Canada. S. R. Ford's co-authors include W. R. Walter, Douglas S. Dreger, D. S. Dreger, G. A. Ichinose, M. E. Pasyanos, Á. Szabó, J. A. Slavin, R. P. Lepping, Mark B. Moldwin and Edward J. Garnero and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

S. R. Ford

53 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
S. R. Ford United States 21 841 191 145 143 66 56 1.2k
Jay Parker United States 16 407 0.5× 131 0.7× 46 0.3× 31 0.2× 15 0.2× 80 907
Talat Iqbal Pakistan 15 650 0.8× 407 2.1× 86 0.6× 32 0.2× 20 0.3× 48 792
Ken Larner United States 19 1.2k 1.4× 193 1.0× 25 0.2× 590 4.1× 43 0.7× 63 1.3k
Yang Luo United States 13 518 0.6× 56 0.3× 117 0.8× 187 1.3× 4 0.1× 28 706
S. C. Bloch United States 9 1.0k 1.2× 104 0.5× 37 0.3× 316 2.2× 12 0.2× 22 1.2k
E. Clévédé France 15 864 1.0× 110 0.6× 205 1.4× 185 1.3× 40 0.6× 24 992
Benjamin Schwarz Germany 17 683 0.8× 177 0.9× 30 0.2× 423 3.0× 5 0.1× 77 1.2k
Ichiro Nakanishi Japan 21 1.6k 1.9× 117 0.6× 50 0.3× 134 0.9× 49 0.7× 79 1.7k
Maren Böse Switzerland 22 1.4k 1.6× 1.2k 6.2× 141 1.0× 74 0.5× 3 0.0× 62 1.5k
Tim Scanlon United Kingdom 4 406 0.5× 139 0.7× 15 0.1× 17 0.1× 23 0.3× 7 677

Countries citing papers authored by S. R. Ford

Since Specialization
Citations

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

Fields of papers citing papers by S. R. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. R. Ford

This figure shows the co-authorship network connecting the top 25 collaborators of S. R. Ford. A scholar is included among the top collaborators of S. R. Ford 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 S. R. Ford. S. R. Ford 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.
Ford, S. R., et al.. (2025). Bayesian Inference for the Seismic Moment Tensor Using Regional Waveforms and Teleseismic-P Polarities with a Data-Derived Distribution of Velocity Models and Source Locations. Bulletin of the Seismological Society of America. 115(4). 1466–1478. 3 indexed citations
2.
Pasyanos, M. E., G. A. Ichinose, & S. R. Ford. (2023). Moment tensor event identification for collapses. Geophysical Journal International. 235(1). 635–643. 5 indexed citations
3.
White, Evan J., Mark W. Shephard, Karen Cady‐Pereira, et al.. (2023). Accounting for Non-Detects: Application to Satellite Ammonia Observations. Remote Sensing. 15(10). 2610–2610. 6 indexed citations
4.
Ichinose, G. A., S. R. Ford, & R. J. Mellors. (2020). Regional Moment Tensor Inversion Using Rotational Observations. Journal of Geophysical Research Solid Earth. 126(2). 5 indexed citations
5.
Ichinose, G. A., S. R. Ford, & R. J. Mellors. (2020). Regional moment tensor inversion using rotational observations. 2 indexed citations
6.
7.
Myers, Stephen C., S. R. Ford, R. J. Mellors, S. Baker, & G. A. Ichinose. (2018). Absolute Locations of the North Korean Nuclear Tests Based on Differential Seismic Arrival Times and InSAR. Seismological Research Letters. 89(6). 2049–2058. 37 indexed citations
8.
Templeton, D. C., Arthur Rodgers, S. R. Ford, et al.. (2018). Seismic Models for Near‐Surface Explosion Yield Estimation in Alluvium and Sedimentary Rock. Bulletin of the Seismological Society of America. 108(3A). 1384–1398. 9 indexed citations
9.
Ford, S. R., et al.. (2017). Absolute locations of the North Korean nuclear tests based on differential seismic travel times and InSAR. AGUFM. 2017. 1 indexed citations
10.
Pitarka, Arben, R. J. Mellors, W. R. Walter, et al.. (2015). Analysis of Ground Motion from An Underground Chemical Explosion. Bulletin of the Seismological Society of America. 105(5). 2390–2410. 35 indexed citations
11.
Ford, S. R., Brett Scholz, & Vinh Nhat Lu. (2014). Social shedding: Identification and health of men’s sheds users.. Health Psychology. 34(7). 775–778. 27 indexed citations
12.
Dreger, Douglas S., et al.. (2014). Source Characterization of Underground Explosions from Combined Regional Moment Tensor and First-Motion Analysis. Bulletin of the Seismological Society of America. 104(4). 1587–1600. 28 indexed citations
13.
Ford, S. R. & W. R. Walter. (2013). An Explosion Model Comparison with Insights from the Source Physics Experiments. Bulletin of the Seismological Society of America. 103(5). 2937–2945. 29 indexed citations
14.
Schmerr, N. C., E. Matzel, & S. R. Ford. (2011). The Effect of Free-Surface Topography on Seismic Waves in the Moon. Lunar and Planetary Science Conference. 1961. 1 indexed citations
15.
Ford, S. R., et al.. (2010). Toward an Empirically-based Parametric Explosion Spectral Model. University of North Texas Digital Library (University of North Texas). 2010. 1 indexed citations
16.
Pasyanos, M. E., W. R. Walter, E. Matzel, et al.. (2010). Calibration of Attenuation Structure in Eurasia to Improve Discrimination and Yield. 2 indexed citations
17.
Walter, W. R., S. R. Ford, & M. E. Pasyanos. (2009). Regional Observations of the 2006 and 2009 Declared North Korea Nuclear Explosions. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
18.
Cannata, Andrea, M. Hellweg, Giuseppe Di Grazia, et al.. (2009). Long period and very long period events at Mt. Etna volcano: Characteristics, variability and causality, and implications for their sources. Journal of Volcanology and Geothermal Research. 187(3-4). 227–249. 36 indexed citations
19.
Walter, W. R., E. Matzel, R. Gök, et al.. (2008). Regional Seismic Amplitude Modeling and Tomography for Earthquake-Explosion Discrimination. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2008. 2 indexed citations
20.
Ford, S. R., D. S. Dreger, Kevin Mayeda, et al.. (2008). Regional Attenuation in Northern California: A Comparison of Five 1D Q Methods. Bulletin of the Seismological Society of America. 98(4). 2033–2046. 40 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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