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 global CMT project 2004–2010: Centroid-moment tensors for 13,017 earthquakes
20122.2k citationsGöran Ekström, M. Nettles et al.profile →
The Great Sumatra-Andaman Earthquake of 26 December 2004
2005858 citationsM. Nettles, Göran Ekström et al.profile →
Anisotropic shear‐wave velocity structure of the Earth's mantle: A global model
2008492 citationsGöran Ekström, Adam M. Dziewoński et al.profile →
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 Göran Ekström'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 Göran Ekström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Göran Ekström more than expected).
This network shows the impact of papers produced by Göran Ekström. 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 Göran Ekström. The network helps show where Göran Ekström may publish in the future.
Co-authorship network of co-authors of Göran Ekström
This figure shows the co-authorship network connecting the top 25 collaborators of Göran Ekström.
A scholar is included among the top collaborators of Göran Ekström 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 Göran Ekström. Göran Ekström is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Stark, C. P., Michael Wolovick, & Göran Ekström. (2012). Glacier surge triggered by massive rock avalanche: Teleseismic and satellite image study of long-runout landslide onto RGO Glacier, Pamirs. AGUFM. 2012.3 indexed citations
15.
Abers, G. A., et al.. (2009). Imaging the slab-continent interface beneath Washington with spectral ambient noise tomography. AGUFM. 2009.1 indexed citations
16.
Elósegui, P., M. Nettles, Tine B. Larsen, et al.. (2008). Sub-daily glacier flow variations at Helheim Glacier, East Greenland, using GPS. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2008.1 indexed citations
17.
Hamilton, G. S., Shfaqat Abbas Khan, K. M. Schild, et al.. (2008). Iceberg Calving and Flow Dynamics at Helheim Glacier, East Greenland, from Time-Lapse Photography. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2008.3 indexed citations
18.
Ekström, Göran, et al.. (2007). Seismological Detection and Analysis of Recent Landslides in Alaska and the Yukon. AGU Fall Meeting Abstracts. 2007.3 indexed citations
19.
Pondrelli, Silvia, Simone Salimbeni, Göran Ekström, & Andrea Morelli. (2006). Update of the European-Mediterranean Regional Centroid Moment Tensor (RCMT) Catalog: an Insight on Notable Recent Mediterranean Seismicity. AGUFM. 2006.1 indexed citations
20.
Ekström, Göran, et al.. (2003). The GSN Noise Model: Estimates of the Least Ambient Earth Noise From the IRIS Global Seismographic Network.. AGU Fall Meeting Abstracts. 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.