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.
Documentation for the 2008 update of the United States National Seismic Hazard Maps
2008475 citationsMark D. Petersen, Arthur D. Frankel et al.Antarctica A Keystone in a Changing Worldprofile →
Documentation for the 2014 update of the United States national seismic hazard maps
2014362 citationsMark D. Petersen, Morgan P. Moschetti et al.Antarctica A Keystone in a Changing Worldprofile →
The 2018 update of the US National Seismic Hazard Model: Overview of model and implications
2019194 citationsMark D. Petersen, Allison M. Shumway et al.Earthquake Spectraprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Oliver S. Boyd
Since
Specialization
Citations
This map shows the geographic impact of Oliver S. Boyd'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 Oliver S. Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver S. Boyd more than expected).
This network shows the impact of papers produced by Oliver S. Boyd. 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 Oliver S. Boyd. The network helps show where Oliver S. Boyd may publish in the future.
Co-authorship network of co-authors of Oliver S. Boyd
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver S. Boyd.
A scholar is included among the top collaborators of Oliver S. Boyd 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 Oliver S. Boyd. Oliver S. Boyd is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Petersen, Mark D., Allison M. Shumway, Peter M. Powers, et al.. (2019). The 2018 update of the US National Seismic Hazard Model: Overview of model and implications. Earthquake Spectra. 36(1). 5–41.194 indexed citations breakdown →
10.
Shah, Anjana K., Oliver S. Boyd, Todd Sowers, & Eric M. Thompson. (2017). Building a USGS National Crustal Model: Theoretical foundation, inputs, and calibration for the Western United States. AGUFM. 2017.1 indexed citations
Boyd, Oliver S.. (2015). Investigating the Radiation Pattern of Earthquakes in the Central and Eastern United States and Comments on Seismic Hazard. AGU Fall Meeting Abstracts. 2015.1 indexed citations
13.
Petersen, Mark D., Morgan P. Moschetti, Peter M. Powers, et al.. (2014). Documentation for the 2014 update of the United States national seismic hazard maps. Antarctica A Keystone in a Changing World.362 indexed citations breakdown →
14.
Petersen, Mark D., Charles S. Mueller, Morgan P. Moschetti, et al.. (2012). 2014 Update of the United States National Seismic Hazard Maps. AGU Fall Meeting Abstracts. 2013.1 indexed citations
Boyd, Oliver S., et al.. (2010). Earthquake Ground Motion Simulations in the Central United States. AGUFM. 2010.2 indexed citations
17.
Petersen, Mark D., Arthur D. Frankel, Stephen C. Harmsen, et al.. (2008). Documentation for the 2008 update of the United States National Seismic Hazard Maps. Antarctica A Keystone in a Changing World.475 indexed citations breakdown →
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.