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.
A multidisciplinary effort to assign realistic source parameters to models of volcanic ash-cloud transport and dispersion during eruptions
2009538 citationsLarry G. Mastin, Marianne Guffanti et al.Journal of Volcanology and Geothermal Researchprofile →
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 John W. Ewert'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 John W. Ewert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Ewert more than expected).
This network shows the impact of papers produced by John W. Ewert. 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 John W. Ewert. The network helps show where John W. Ewert may publish in the future.
Co-authorship network of co-authors of John W. Ewert
This figure shows the co-authorship network connecting the top 25 collaborators of John W. Ewert.
A scholar is included among the top collaborators of John W. Ewert 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 John W. Ewert. John W. Ewert is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ewert, John W., R. H. Holzworth, & A. K. Diefenbach. (2010). Global detection of explosive volcanic eruptions with the World Wide Lightning Location Network (WWLLN) and application to aviation safety (Invited). AGUFM. 2010.4 indexed citations
Zahran, Hani, Wendy McCausland, John S. Pallister, et al.. (2009). Stalled eruption or dike intrusion at Harrat Lunayyir, Saudi Arabia?. AGUFM. 2009.6 indexed citations
9.
Ewert, John W., R. H. Holzworth, & A. K. Diefenbach. (2009). Detecting Explosive Volcanic Eruptions with the World Wide Lightning Location Network (WWLLN). AGUFM. 2009.
10.
Mastin, Larry G., Marianne Guffanti, R. Servranckx, et al.. (2009). A multidisciplinary effort to assign realistic source parameters to models of volcanic ash-cloud transport and dispersion during eruptions. Journal of Volcanology and Geothermal Research. 186(1-2). 10–21.538 indexed citations breakdown →
Guffanti, Marianne, et al.. (2008). Impact on aviation operations of volcanic gas and ash clouds from the 2008 eruptions of Okmok and Kasatochi, Alaska. AGU Fall Meeting Abstracts. 2008.3 indexed citations
13.
Lara, Luis E., John S. Pallister, & John W. Ewert. (2008). The 2008 eruption of Chaitén volcano, Southern Chile: a tectonically controlled eruption?. AGU Fall Meeting Abstracts. 2008.3 indexed citations
Ewert, John W., et al.. (2006). Communicating Potential Ash-Fall Hazards With Scenario Maps at Mount St. Helens. AGUFM. 2006.1 indexed citations
17.
Mastin, Larry G., et al.. (2005). The roles of magmatic and external water in the March 8 tephra eruption at Mount St. Helens as assessed by a 1-D steady plume-height model. AGU Fall Meeting Abstracts. 2005.1 indexed citations
Casadevall, Thomas J., et al.. (1996). Volcanic Hazards and Aviation Safety. 363–364.4 indexed citations
20.
Ewert, John W., Thomas L. Murray, Andrew B. Lockhart, & C. Dan Miller. (1993). Preventing volcanic catastrophe; the U.S. International Volcano Disaster Assistance Program. 24(6). 270–291.5 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.