This map shows the geographic impact of S. M. Hansen'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. M. Hansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. M. Hansen more than expected).
This network shows the impact of papers produced by S. M. Hansen. 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. M. Hansen. The network helps show where S. M. Hansen may publish in the future.
Co-authorship network of co-authors of S. M. Hansen
This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Hansen.
A scholar is included among the top collaborators of S. M. Hansen 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. M. Hansen. S. M. Hansen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Worthington, L. L., et al.. (2017). Virtual source reflection imaging of the Socorro Magma Body, New Mexico, using a dense seismic array. AGUFM. 2017.1 indexed citations
4.
Kiser, E., A. Levander, C. A. Zelt, et al.. (2017). Three-dimensional velocity models of the Mount St. Helens magmatic system using the iMUSH active-source data set. AGUFM. 2017.1 indexed citations
5.
Creager, K. C., S. C. Moran, G. A. Abers, et al.. (2016). Local Earthquake P-wave Tomography at Mount St. Helens with the iMUSH Broadband Array. AGUFM. 2016.1 indexed citations
6.
Kiser, E., A. Levander, C. A. Zelt, et al.. (2016). Magma reservoirs from the upper crust to the Moho inferred from high-resolution Vp and Vs models beneath Mount St. Helens, Cascades, USA. EGU General Assembly Conference Abstracts.1 indexed citations
Meng, Xiangcun, Renate Hartog, Brandon Schmandt, et al.. (2016). Systematic detection of seismic events at Mount St. Helens with an ultra-dense array. AGU Fall Meeting Abstracts. 2016.1 indexed citations
9.
Hansen, S. M., Brandon Schmandt, S. L. Dougherty, & Robert W. Clayton. (2016). Interrogating the Isabella Anomaly with the Central California Seismic Array. AGUFM. 2016.1 indexed citations
10.
Hansen, S. M., Brandon Schmandt, A. Levander, et al.. (2015). Subsurface Imaging at Mount St. Helens with a Large-N Geophone Array. 2015 AGU Fall Meeting. 2015.1 indexed citations
11.
Kiser, E., I. Palomeras, A. Levander, et al.. (2015). Magma reservoirs from the upper crust to the Moho inferred from high-resolution Vp and Vs models beneath Mount St. Helens. AGU Fall Meeting Abstracts. 2015.9 indexed citations
12.
Dueker, K. G., et al.. (2012). A taxonomy of three species of negative velocity arrivals in the lithospheric mantle beneath the United States using Sp receiver functions. AGU Fall Meeting Abstracts. 2012.1 indexed citations
13.
Hansen, S. M., J. C. Stachnik, & K. G. Dueker. (2010). Lithospheric structure of the Colorado Rockies from CREST and TA seismic data. AGUFM. 2010.3 indexed citations
Hansen, S. M.. (2000). Preparations for Cerec 3: where are the limits?. PubMed. 3(3). 197–205.11 indexed citations
18.
Narayanan, N. Hari, et al.. (1999). From Algorithm Animations to Animation-embedded Hypermedia Visualizations. EdMedia: World Conference on Educational Media and Technology. 1999(1). 1032–1037.9 indexed citations
Hansen, S. M., et al.. (1980). Chemical feedstocks from wood: aqueous organic alcohol treatment.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.