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.
Robust estimation of background noise and signal detection in climatic time series
19961.1k citationsJonathan M. Lees et al.profile →
Deploying a wireless sensor network on an active volcano
2006800 citationsG. Werner-Allen, Konrad Lorincz et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by Jonathan M. Lees
Since
Specialization
Citations
This map shows the geographic impact of Jonathan M. Lees'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 Jonathan M. Lees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Lees more than expected).
Fields of papers citing papers by Jonathan M. Lees
This network shows the impact of papers produced by Jonathan M. Lees. 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 Jonathan M. Lees. The network helps show where Jonathan M. Lees may publish in the future.
Co-authorship network of co-authors of Jonathan M. Lees
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Lees.
A scholar is included among the top collaborators of Jonathan M. Lees 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 Jonathan M. Lees. Jonathan M. Lees is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lees, Jonathan M., et al.. (2017). Receiver function stacks: initial steps for seismic imaging of Cotopaxi volcano, Ecuador. AGUFM. 2017.2 indexed citations
10.
Johnson, J. B., Nick Varley, A. Gerst, et al.. (2007). Eruption dynamics at the active Santiaguito Dome inferred from a multidisciplinary geophysical experiment. AGU Spring Meeting Abstracts. 2007.1 indexed citations
11.
Lees, Jonathan M.. (2005). Wavelet Transforms and Volcanic Explosions. AGU Fall Meeting Abstracts. 2005.1 indexed citations
12.
Russo, R. M. & Jonathan M. Lees. (2005). Seismic Anisotropy beneath Pacific Ocean Lithosphere Subducted at Kamchatka. AGU Fall Meeting Abstracts. 2005.1 indexed citations
13.
Welsh, Matt, G. Werner-Allen, Konrad Lorincz, et al.. (2005). A Wireless Seismoacoustic Sensor Network for Monitoring Activity at Volcano Reventador, Ecuador. AGU Fall Meeting Abstracts. 2005.1 indexed citations
14.
Ruiz, Mario, Jonathan M. Lees, & J. B. Johnson. (2004). Blasts, Roars, and Chugs at Tungurahua Volcano. AGU Fall Meeting Abstracts. 2004.1 indexed citations
15.
Werner-Allen, G., Jeffrey G. Johnson, Mario Ruiz, Jonathan M. Lees, & Matt Welsh. (2004). Infrasonic Monitoring of Eruptions at Tungurahua Volcano, Ecuador using a Wireless Sensor Network. AGU Fall Meeting Abstracts. 2004.1 indexed citations
16.
Park, J., Vadim Levin, M. T. Brandon, et al.. (2001). A Dangling Slab, Amplified Arc Volcanism, Mantle Flow and Seismic Anisotropy in the Kamchatka Plate Corner. AGUFM. 2001.9 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.