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 →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of E. A. Hetland'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 E. A. Hetland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. A. Hetland more than expected).
This network shows the impact of papers produced by E. A. Hetland. 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 E. A. Hetland. The network helps show where E. A. Hetland may publish in the future.
Co-authorship network of co-authors of E. A. Hetland
This figure shows the co-authorship network connecting the top 25 collaborators of E. A. Hetland.
A scholar is included among the top collaborators of E. A. Hetland 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 E. A. Hetland. E. A. Hetland is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
He, Ping, et al.. (2016). Coseismic and early postseismic deformation for the 2015 Mw 6.4 Pishan earthquake from InSAR and GPS observations. AGU Fall Meeting Abstracts. 2016.1 indexed citations
Agram, P. S., Romain Jolivet, Bryan Riel, et al.. (2012). GIAnT - Generic InSAR Analysis Toolbox. AGU Fall Meeting Abstracts. 2012.4 indexed citations
9.
Hetland, E. A., et al.. (2012). Numerical models of transient partial melting of the lower crust during repeated emplacement of basalt sills and subsequent cooling due to advection of melt out of the lower crust. AGUFM. 2012.1 indexed citations
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
12.
Hetland, E. A., Pablo Musé, M. Simons, et al.. (2011). Multiscale InSAR Time Series (MInTS) analysis of surface deformation. AGUFM. 2011.1 indexed citations
Klinger, Yann, Maryline Le Béon, Brendan J. Meade, & E. A. Hetland. (2010). From geodesy to geological, similar slip rates at different time scales: The Dead Sea Fault example (Invited). AGU Fall Meeting Abstracts. 2010.1 indexed citations
Hetland, E. A., M. Simons, Eric M. Dunham, & R. V. Kanda. (2008). Interseismic Deformation and the Mechanical Behavior of Megathrusts: Transient Postseismic Creep, Stress Shadows, and Megathrust Rheology. AGU Fall Meeting Abstracts. 2008.2 indexed citations
19.
Hetland, E. A., M. Simons, & Bradford H. Hager. (2006). Postseismic Models Consistent with Interseismic Deformation. AGUFM. 2006.1 indexed citations
20.
Hetland, E. A. & Bradford H. Hager. (2003). Interseismic Displacements: Cycle Invariance, Slip Rate, and Rheology. AGUFM. 2003.1 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.