D. D. Oglesby

3.5k total citations
77 papers, 2.4k citations indexed

About

D. D. Oglesby is a scholar working on Geophysics, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, D. D. Oglesby has authored 77 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Geophysics, 16 papers in Civil and Structural Engineering and 10 papers in Artificial Intelligence. Recurrent topics in D. D. Oglesby's work include earthquake and tectonic studies (67 papers), Seismic Waves and Analysis (39 papers) and High-pressure geophysics and materials (36 papers). D. D. Oglesby is often cited by papers focused on earthquake and tectonic studies (67 papers), Seismic Waves and Analysis (39 papers) and High-pressure geophysics and materials (36 papers). D. D. Oglesby collaborates with scholars based in United States, China and Singapore. D. D. Oglesby's co-authors include Benchun Duan, Ralph J. Archuleta, S. B. Nielsen, J. Lozos, P. Martín, Steven M. Day, Eric L. Geist, Guanshui Xu, Steven G. Wesnousky and K. B. Olsen and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

D. D. Oglesby

72 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
D. D. Oglesby United States 26 2.2k 445 262 174 164 77 2.4k
Yoshihiro Kaneko New Zealand 24 2.4k 1.1× 234 0.5× 356 1.4× 143 0.8× 103 0.6× 75 2.6k
Martin Vallée France 32 3.0k 1.4× 291 0.7× 476 1.8× 74 0.4× 105 0.6× 83 3.2k
P. Okubo United States 32 2.9k 1.3× 124 0.3× 550 2.1× 222 1.3× 164 1.0× 89 3.2k
S. Steacy United Kingdom 22 1.5k 0.7× 149 0.3× 208 0.8× 105 0.6× 84 0.5× 35 1.7k
Shiann‐Jong Lee Taiwan 23 1.5k 0.7× 410 0.9× 226 0.9× 35 0.2× 150 0.9× 61 1.6k
Giuliano Milana Italy 22 1.7k 0.7× 660 1.5× 247 0.9× 59 0.3× 135 0.8× 83 2.0k
Shamita Das United Kingdom 21 2.5k 1.1× 234 0.5× 293 1.1× 187 1.1× 63 0.4× 27 2.6k
Takuto Maeda Japan 26 2.4k 1.1× 198 0.4× 580 2.2× 56 0.3× 68 0.4× 91 2.7k
H. Perfettini France 27 2.5k 1.1× 87 0.2× 277 1.1× 131 0.8× 136 0.8× 54 2.7k
Christophe Voisin France 19 845 0.4× 147 0.3× 159 0.6× 120 0.7× 156 1.0× 45 1.1k

Countries citing papers authored by D. D. Oglesby

Since Specialization
Citations

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

Fields of papers citing papers by D. D. Oglesby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. D. Oglesby. 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 D. D. Oglesby. The network helps show where D. D. Oglesby may publish in the future.

Co-authorship network of co-authors of D. D. Oglesby

This figure shows the co-authorship network connecting the top 25 collaborators of D. D. Oglesby. A scholar is included among the top collaborators of D. D. Oglesby 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 D. D. Oglesby. D. D. Oglesby 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.
Oglesby, D. D., et al.. (2025). Bi‐Material Effects on Critical Jump Distance Over Step‐Overs. Journal of Geophysical Research Solid Earth. 130(6).
2.
Kyriakopoulos, C., D. D. Oglesby, A. J. Meltzner, et al.. (2024). Exploring the Dynamic Interactions Between the Southern San Andreas Fault and a Normal Fault Under the Salton Sea. Journal of Geophysical Research Solid Earth. 129(11).
3.
Wu, Baoning, et al.. (2023). Variation of Proportionality Between Stress Drop and Slip, With Implications for Megathrust Earthquakes. Geophysical Research Letters. 50(4). 2 indexed citations
4.
Dieterich, James H., et al.. (2023). 3-D Simulations of earthquakes rupture jumps: 1. Homogeneous pre-stress conditions. Geophysical Journal International. 234(1). 395–403. 8 indexed citations
5.
Kyriakopoulos, C., et al.. (2022). The effects of pre-stress assumptions on dynamic rupture with complex fault geometry in the San Gorgonio Pass, California, region. Geosphere. 18(6). 1710–1725. 1 indexed citations
6.
Oglesby, D. D., et al.. (2021). Supershear Rupture, Daughter Cracks, and the Definition of Rupture Velocity. Geophysical Research Letters. 48(10). 2 indexed citations
7.
Oglesby, D. D., et al.. (2021). The Effect of Depth‐Dependent Stress in Controlling Free‐Surface‐Induced Supershear Rupture on Strike‐Slip Faults. Journal of Geophysical Research Solid Earth. 126(5). 9 indexed citations
8.
Oglesby, D. D., et al.. (2020). The Near‐Fault Ground Motion Characteristics of Sustained and Unsustained Free Surface‐Induced Supershear Rupture on Strike‐Slip Faults. Journal of Geophysical Research Solid Earth. 125(5). 21 indexed citations
9.
Wu, Baoning, et al.. (2020). Monitoring human activity at a very local scale with ground motion records: the early stage of COVID-19 pandemic in California, USA, New York City, USA, and Mexicali, Mexico. eScholarship (California Digital Library). 2020.
10.
Oglesby, D. D., et al.. (2019). The Sustainability of Free‐Surface‐Induced Supershear Rupture on Strike‐Slip Faults. Geophysical Research Letters. 46(16). 9537–9543. 20 indexed citations
11.
Oglesby, D. D., et al.. (2019). Back-projection Analysis of Synthetic Earthquakes: Effects of Rupture Heterogeneity, Dynamic Rupture Process, and Array Configuration. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
12.
Olfman, Lorne, et al.. (2013). A Novel Business Intelligence Technique to Improve High Performance within an Organization Applying Insights from Hydrogeological Case. Journal of the Association for Information Systems. 19. 1259–61. 1 indexed citations
13.
Lozos, J., D. D. Oglesby, James N. Brune, & K. B. Olsen. (2011). Rupture behavior and ground motion from 3D simulations of the Casa Loma - Claremont stepover on the San Jacinto Fault, southern California. AGU Fall Meeting Abstracts. 2011. 1 indexed citations
14.
Kilgore, Brian D., J. Lozos, D. D. Oglesby, & N. M. Beeler. (2010). Laboratory observations of the response of fault strength as normal stress is changed, and implications for dynamic rupture. AGUFM. 2010. 1 indexed citations
15.
Oglesby, D. D., et al.. (2008). Rupture Propagation and Slip Partitioning on an Oblique Upward-Branching Fault System. AGUFM. 2008. 1 indexed citations
16.
Oglesby, D. D., et al.. (2007). Effects of Non-linear Terms and Fault Width on Pore Fluid Pressurization. AGU Fall Meeting Abstracts. 2007. 1 indexed citations
17.
Oglesby, D. D., et al.. (2005). Dynamic Rupture in the Presence of Fault Discontinuities: an Application to Faults in the Marmara Sea, Turkey. AGUFM. 2005. 1 indexed citations
18.
Harris, Ruth, Ralph J. Archuleta, B. Aagaard, et al.. (2004). The Source Physics of Large Earthquakes - Validating Spontaneous Rupture Methods. AGUFM. 2004. 11 indexed citations
19.
Dreger, Douglas S., M. H. Murray, & D. D. Oglesby. (2004). Kinematic Modeling of the 2004 Parkfield Earthquake. AGUFM. 2004. 5 indexed citations
20.
Oglesby, D. D., et al.. (2001). The 1999 Hector Mine Earthquake: The Dynamics of a Branched Fault. AGU Fall Meeting Abstracts. 2001. 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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