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.
The 2011 Magnitude 9.0 Tohoku-Oki Earthquake: Mosaicking the Megathrust from Seconds to Centuries
2011604 citationsM. Simons, S. E. Minson et al.profile →
Single receiver phase ambiguity resolution with GPS data
2010451 citationsWilly Bertiger, S. D. Desai et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of S. E. Owen'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. E. Owen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. E. Owen more than expected).
This network shows the impact of papers produced by S. E. Owen. 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. E. Owen. The network helps show where S. E. Owen may publish in the future.
Co-authorship network of co-authors of S. E. Owen
This figure shows the co-authorship network connecting the top 25 collaborators of S. E. Owen.
A scholar is included among the top collaborators of S. E. Owen 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. E. Owen. S. E. Owen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bekaert, David, E. Havazli, Hook Hua, et al.. (2020). New and upcoming developments of standardized InSAR Products by the Advanced Rapid Imaging and Analysis (ARIA) Project for Natural Hazards. AGU Fall Meeting Abstracts. 2020.1 indexed citations
3.
Meyer, Franz J., Eric Anderson, Emil Cherrington, et al.. (2019). The SAR-CBC Project: Experiences and Lessons Learned from Recent SAR Capacity Building Activities. AGU Fall Meeting Abstracts. 2019.1 indexed citations
Yun, Sang‐Ho, S. E. Owen, Hook Hua, et al.. (2017). Global Rapid Flood Mapping System with Spaceborne SAR Data. AGU Fall Meeting Abstracts. 2017.2 indexed citations
6.
Hua, Hook, S. E. Owen, Sang‐Ho Yun, et al.. (2017). Large-Scale Sentinel-1 Processing for Solid Earth Science and Urgent Response using Cloud Computing and Machine Learning. AGU Fall Meeting Abstracts. 2017.1 indexed citations
7.
Moore, A. W., et al.. (2016). Imaging slow slip events and their relationship to seismic slow earthquakes in southwest Japan. AGUFM. 2016.1 indexed citations
8.
Agram, P. S., S. E. Owen, G. Manipon, et al.. (2016). ARIA: delivering state-of-the-art InSAR products for end users. AGUFM. 2016.1 indexed citations
9.
Liu, Zhen, Yuning Fu, Yehuda Bock, et al.. (2015). Investigate the Spatiotemporal Relationship Between Slow Slip Transients and Tremor in Cascadia Subduction Zone. 2015 AGU Fall Meeting. 2015.1 indexed citations
10.
Fielding, E. J., P. S. Agram, Mong‐Han Huang, et al.. (2015). Geodetic Imaging of the Coseismic and Postseismic deformation from the 2015 M w 7.8 Gorkha Earthquake and M w 7.3 Aftershock in Nepal with SAR and GPS. 2015 AGU Fall Meeting. 2015.1 indexed citations
11.
Donnellan, Andrea, Jay Parker, Brian Hawkins, et al.. (2014). Combined UAVSAR and GPS Estimates of Fault Slip for the M 6.0 South Napa Earthquake. AGUFM. 2014.1 indexed citations
12.
Hua, Hook, S. E. Owen, Sang‐Ho Yun, et al.. (2013). Integrating Remote Sensing Data, Hybrid-Cloud Computing, and Event Notifications for Advanced Rapid Imaging & Analysis (Invited). AGU Fall Meeting Abstracts. 2013.
13.
Owen, S. E., M. Simons, P. A. Rosen, et al.. (2011). The ARIA-EQ project: Advanced Rapid Imaging and Analysis for Earthquakes. AGUFM. 2011.1 indexed citations
14.
Heflin, M. B., A. W. Moore, & S. E. Owen. (2011). Impact of Ambiguity Resolution and Orbit Reprocessing on the Global Reference Frame. AGU Fall Meeting Abstracts. 2011.1 indexed citations
15.
Minson, S. E., M. Simons, J. L. Beck, et al.. (2011). A Bayesian Exploration of Kinematic Rupture Parameters for the Great 2011 Tohoku-Oki Earthquake. AGU Fall Meeting Abstracts. 2011.1 indexed citations
16.
Ortega‐Culaciati, Francisco, M. Simons, S. E. Minson, et al.. (2011). A Bayesian Analysis of the Post-seismic Deformation of the Great 11 March 2011 Tohoku-Oki (Mw 9.0) Earthquake: Implications for Future Earthquake Occurrence. AGUFM. 2011.1 indexed citations
17.
Webb, F., Yehuda Bock, S. Kedar, et al.. (2009). Solid Earth Science Data System for Exploration of Lithospheric Deformation in the Western US. AGU Fall Meeting Abstracts. 2009.2 indexed citations
18.
Haines, Bruce, Y. Bar-Sever, Willy Bertiger, et al.. (2007). GRACE-Based Estimates of GPS Satellite Antenna Phase Variations: Impact on Determining the Scale of the Terrestrial Reference Frame. AGU Fall Meeting Abstracts. 2007.1 indexed citations
19.
Owen, S. E. & F. Webb. (2005). Impact of GPS Satellite Antenna Phase Center Variations and Modified Sidereal Filtering on Reference Frame Determination.. AGU Fall Meeting Abstracts. 2005.5 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.