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.
This map shows the geographic impact of E. E. Brodsky'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. E. Brodsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. E. Brodsky more than expected).
This network shows the impact of papers produced by E. E. Brodsky. 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. E. Brodsky. The network helps show where E. E. Brodsky may publish in the future.
Co-authorship network of co-authors of E. E. Brodsky
This figure shows the co-authorship network connecting the top 25 collaborators of E. E. Brodsky.
A scholar is included among the top collaborators of E. E. Brodsky 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. E. Brodsky. E. E. Brodsky is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Brodsky, E. E., Thibault Candela, & J. D. Kirkpatrick. (2016). Fault roughness and the earthquake energy budget. AGU Fall Meeting Abstracts. 2016.1 indexed citations
8.
Brodsky, E. E., et al.. (2012). Frictional Stress Measured Through Temperature Profiles in the Wenchuan Scientific Fault Zone Drilling Project. AGUFM. 2012.5 indexed citations
9.
Namba, Yoshiharu, N. Eguchi, S. Toczko, et al.. (2012). Development of Observatories for the Japan Trench Fast Drilling Project. AGU Fall Meeting Abstracts. 2012.1 indexed citations
10.
Walter, J. I., Jason E. Box, Sławek Tulaczyk, et al.. (2011). Oceanic mechanical forcing of the dynamics of a marine-terminating Greenland glacier by ice mélange removal and ocean tides. AGU Fall Meeting Abstracts. 2011.1 indexed citations
11.
Mori, James, et al.. (2010). Temperature Measurements in the WFSD-1 Borehole Following the 2008 Wenchuan Earthquake (Mw7.9). AGUFM. 2010.6 indexed citations
12.
Elkhoury, Jean E., André Niemeijer, E. E. Brodsky, & Chris Marone. (2009). Dynamic Stress Stimulates Flow in Fractures. AGUFM. 2009.1 indexed citations
13.
Prejean, S. G. & E. E. Brodsky. (2009). Physically Linking Volcanic Plume Height to Radiated Seismic Waves. AGUFM. 2009.1 indexed citations
14.
Elst, N. van der & E. E. Brodsky. (2008). Quantifying Dynamic Earthquake Triggering in the Near and Far-Field. AGU Fall Meeting Abstracts. 2008.1 indexed citations
15.
Savage, H. M., et al.. (2008). A comparison of damage zone decay around small and large faults. AGUFM. 2008.1 indexed citations
16.
Sagy, Amir, E. E. Brodsky, N. van der Elst, et al.. (2007). Geometrical and Structural Asperities on Fault Surfaces. AGU Fall Meeting Abstracts. 2007.1 indexed citations
17.
Harrington, R. M. & E. E. Brodsky. (2007). Smooth, Mature Faults Radiate More Energy than Rough, Immature Faults in Parkfield, CA. AGU Fall Meeting Abstracts. 2007.2 indexed citations
18.
Harrington, R. M. & E. E. Brodsky. (2006). The Mount St. Helens Hybrid Earthquakes: Stick-slip or Resonating Pipes?. AGUFM. 2006.1 indexed citations
19.
Elkhoury, Jean E., E. E. Brodsky, & Duncan Carr Agnew. (2005). Observed Permeability Increases Generated by Seismic Waves. AGU Fall Meeting Abstracts. 2005.1 indexed citations
20.
Brodsky, E. E. & S. G. Prejean. (2003). Frequency-Dependent Dynamic Triggering. AGU Fall Meeting Abstracts. 2003.4 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.