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.
Deploying a wireless sensor network on an active volcano
2006800 citationsMario Ruiz, Jonathan M. Lees 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 Mario Ruiz'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 Mario Ruiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Ruiz more than expected).
This network shows the impact of papers produced by Mario Ruiz. 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 Mario Ruiz. The network helps show where Mario Ruiz may publish in the future.
Co-authorship network of co-authors of Mario Ruiz
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Ruiz.
A scholar is included among the top collaborators of Mario Ruiz 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 Mario Ruiz. Mario Ruiz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Femina, P. C. La, Andrew Bell, Machel Higgins, et al.. (2019). Deformation of a Basaltic Shield Volcano: Uplift, Trapdoor Faulting, Eruption Triggering and Subsidence associated with the 2018 eruption of Sierra Negra Volcano, Galapagos. AGU Fall Meeting Abstracts. 2019.1 indexed citations
12.
Battaglia, Jean, et al.. (2015). Location and Waveform Classification of Seismicity at Tungurahua Volcano (Ecuador) During the February and April 2014 Eruptive Phases. 2015 AGU Fall Meeting. 2015.1 indexed citations
13.
Torres-Palma, Ricardo A., Daniel Gómez, Mario Ruiz, et al.. (2015). Intense Seismic Activity at Chiles and Cerro Negro Volcanoes on the Colombia-Ecuador Border. AGU Fall Meeting Abstracts. 2015.1 indexed citations
14.
Hernández, Stephen, Mario Ruiz, Wendy McCausland, et al.. (2015). Recent Seismic and Geodetic Activity at Multiple Volcanoes in the Ecuadorean Andes. 2015 AGU Fall Meeting. 2015.1 indexed citations
15.
Ruiz, Mario, et al.. (2014). Similarities in Eruption Dynamics: A Seismo-Acoustic Analysis of Explosion Sequences at Tungurahua Volcano in May-July 2010 & December 2012. EGU General Assembly Conference Abstracts. 84.1 indexed citations
16.
Ruiz, A., et al.. (2013). Multiparameter Monitoring Techniques for Reducing Volcanic Risk from Cuicocha Crater Lake, Ecuador. AGU Spring Meeting Abstracts. 2013.1 indexed citations
17.
Régnier, Marc, P. Jarrín, Jean‐Mathieu Nocquet, et al.. (2011). Local seismicity in the region of the Mw 8.8 1906 Colombia-Ecuador subduction earthquake: new evidences of the margin segmentation and of the depth of the coupled zone. AGUFM. 2011.1 indexed citations
18.
Ruiz, Mario, et al.. (2011). Analysis of chugging signals from Reventador volcano, Ecuador. AGUFM. 2011.1 indexed citations
19.
Ruiz, Mario & Santiago Arellano. (2008). Characteristics and Distribution of Infrasound Signals at Tungurahua Volcano, Ecuador. AGU Fall Meeting Abstracts. 2008.1 indexed citations
20.
Ruiz, Mario, Jonathan M. Lees, & J. B. Johnson. (2004). Blasts, Roars, and Chugs at Tungurahua Volcano. AGU Fall Meeting Abstracts. 2004.1 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.