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 →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
hero ref
This map shows the geographic impact of K. Dean'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 K. Dean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Dean more than expected).
This network shows the impact of papers produced by K. Dean. 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 K. Dean. The network helps show where K. Dean may publish in the future.
Co-authorship network of co-authors of K. Dean
This figure shows the co-authorship network connecting the top 25 collaborators of K. Dean.
A scholar is included among the top collaborators of K. Dean 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 K. Dean. K. Dean is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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 →
3.
Dean, K., et al.. (2008). Alaska Volcano Observatory's satellite remote sensing of the Okmok and Kasatochi 2008 eruptions. AGUFM. 2008.1 indexed citations
Webley, P. W., John E. Bailey, K. Dean, & J. Dehn. (2007). Operational volcanic ash tracking and dispersion model predictions within Virtual Globes. AGUFM. 2007.1 indexed citations
6.
Dean, K., J. Dehn, Kristi L. Wallace, Fred Prata, & C. F. Cahill. (2006). The Distribution and Movement of Volcanic Ash and SO2 Observed in Satellite Data from the Eruption of Augustine Volcano, 2006. AGUFM. 2006.1 indexed citations
7.
Webley, P. W., John E. Bailey, K. Dean, & J. Dehn. (2006). Three Dimensional Ash Dispersion Modeling within Google Earth : Past Eruptions and Operational Monitoring. AGUFM. 2006.1 indexed citations
8.
Dean, K., et al.. (2006). Monitoring Volcanic Eruptions Using Satellite Data in the North Pacific Region. AGU Fall Meeting Abstracts. 2006.2 indexed citations
Kearney, Courtney, et al.. (2004). Space-based TIR Detection of Volcanic SO 2 in the North Pacific using ASTER and MODIS. AGU Fall Meeting Abstracts. 2004.1 indexed citations
12.
Steffke, Andrea, J. Dehn, & K. Dean. (2004). Preliminary Analysis of Thermal Flux Associated With Dome Growth of Bezymianny Volcano Using Spaceborne Thermal Infrared Data. AGUFM. 2004.1 indexed citations
13.
Peterson, Rorik & K. Dean. (2003). Coupling a Lagrangian Dispersion Model and Remote Sensing Data for Quantification of Volcanic Ash Transport and Deposition. 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.