Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Three-dimensional simulation of spontaneous rupture: The effect of nonuniform prestress
1982393 citationsSteven M. DayBulletin of the Seismological Society of Americaprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Steven M. Day'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 Steven M. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Day more than expected).
This network shows the impact of papers produced by Steven M. Day. 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 Steven M. Day. The network helps show where Steven M. Day may publish in the future.
Co-authorship network of co-authors of Steven M. Day
This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Day.
A scholar is included among the top collaborators of Steven M. Day 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 Steven M. Day. Steven M. Day is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Day, Steven M., et al.. (2017). Dynamic Rupture Models of the 2015 MW7.8 Nepal Earthquake. AGU Fall Meeting Abstracts. 2017.1 indexed citations
7.
Withers, K., K. B. Olsen, & Steven M. Day. (2013). Deterministic High-Frequency Ground Motion Using Dynamic Rupture Along Rough Faults, Small-Scale Media Heterogeneities, and Frequency-Dependent Attenuation. AGU Fall Meeting Abstracts. 2013.4 indexed citations
8.
Shi, Zheming & Steven M. Day. (2011). 3D Simulations of Dynamic Rupture on Rough Faults. AGU Fall Meeting Abstracts. 2011.2 indexed citations
9.
Roten, D., Steven M. Day, K. B. Olsen, S. C. Moran, & N. M. Beeler. (2010). Revealing source and path sensitivities of basin guided waves by time-reversed simulations. Seismological Research Letters.
Dalguer, L. A. & Steven M. Day. (2007). Asymmetric pulse-like rupture at bimaterial interface with slip-weakening friction model. AGU Fall Meeting Abstracts. 2007.3 indexed citations
12.
Cui, Y., K. B. Olsen, Steven M. Day, et al.. (2006). Optimization and Scalability of an Large-scale Earthquake Simulation Application. AGUFM. 2006.1 indexed citations
13.
Day, Steven M., et al.. (2006). Elastoplastic dynamic analysis of strike-slip faults with bends using finite element method. AGU Fall Meeting Abstracts. 2006.2 indexed citations
14.
Moczo, Peter, Jean‐Paul Ampuero, Jozef Kristek, et al.. (2005). The European Network SPICE Code Validation. AGUFM. 2005.4 indexed citations
15.
Dalguer, L. A. & Steven M. Day. (2004). Split Nodes and Fault Zone Models for Dynamic Rupture Simulation. AGUFM. 2004.3 indexed citations
16.
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
17.
Day, Steven M., Jacobo Bielak, Douglas S. Dreger, et al.. (2004). Source-Averaged Basin Effects from 3D Ground Motion Simulations. AGUFM. 2004.4 indexed citations
18.
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.