Omar Marcillo

1.9k total citations · 1 hit paper
38 papers, 1.3k citations indexed

About

Omar Marcillo is a scholar working on Geophysics, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Omar Marcillo has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Geophysics, 16 papers in Artificial Intelligence and 6 papers in Ocean Engineering. Recurrent topics in Omar Marcillo's work include Seismic Waves and Analysis (29 papers), Seismology and Earthquake Studies (16 papers) and Earthquake Detection and Analysis (10 papers). Omar Marcillo is often cited by papers focused on Seismic Waves and Analysis (29 papers), Seismology and Earthquake Studies (16 papers) and Earthquake Detection and Analysis (10 papers). Omar Marcillo collaborates with scholars based in United States, United Kingdom and Israel. Omar Marcillo's co-authors include G. Werner-Allen, Matt Welsh, Konrad Lorincz, J. Johnson, Jonathan M. Lees, Mario Ruiz, Stephen Arrowsmith, Philip Blom, J. B. Johnson and Joshua Carmichael and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Journal of the Acoustical Society of America.

In The Last Decade

Omar Marcillo

37 papers receiving 1.2k citations

Hit Papers

Deploying a wireless sensor network on an active volcano 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Omar Marcillo United States 14 680 400 398 238 157 38 1.3k
J. Johnson United States 8 965 1.4× 130 0.3× 572 1.4× 151 0.6× 114 0.7× 16 1.3k
Kevin D. LePage United States 19 220 0.3× 31 0.1× 283 0.7× 370 1.6× 799 5.1× 81 1.3k
Alessandra Teseï Italy 19 96 0.1× 62 0.2× 180 0.5× 287 1.2× 579 3.7× 104 1.2k
Changsheng Jiang China 22 200 0.3× 658 1.6× 47 0.1× 359 1.5× 53 0.3× 234 1.7k
Zhen Guo China 22 126 0.2× 892 2.2× 161 0.4× 165 0.7× 70 0.4× 53 1.3k
E. Gunawan Singapore 25 353 0.5× 875 2.2× 1.0k 2.6× 158 0.7× 63 0.4× 143 2.3k
Yanming Feng Australia 22 172 0.3× 21 0.1× 339 0.9× 147 0.6× 82 0.5× 125 1.9k
Fredric M. Ham United States 9 51 0.1× 33 0.1× 426 1.1× 298 1.3× 58 0.4× 31 1.1k
Su China 12 81 0.1× 122 0.3× 96 0.2× 104 0.4× 28 0.2× 140 623
David Michéa France 11 65 0.1× 334 0.8× 76 0.2× 73 0.3× 106 0.7× 20 789

Countries citing papers authored by Omar Marcillo

Since Specialization
Citations

This map shows the geographic impact of Omar Marcillo'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 Omar Marcillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omar Marcillo more than expected).

Fields of papers citing papers by Omar Marcillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omar Marcillo. 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 Omar Marcillo. The network helps show where Omar Marcillo may publish in the future.

Co-authorship network of co-authors of Omar Marcillo

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Marcillo. A scholar is included among the top collaborators of Omar Marcillo 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 Omar Marcillo. Omar Marcillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Chai, Chengping, Omar Marcillo, Mónica Maceira, et al.. (2025). Exploring Continuous Seismic Data at an Industry Facility Using Unsupervised Machine Learning. SHILAP Revista de lepidopterología. 5(1). 64–72. 1 indexed citations
3.
Chai, Chengping, et al.. (2022). Monitoring Operational States of a Nuclear Reactor Using Seismoacoustic Signatures and Machine Learning. Seismological Research Letters. 93(3). 1660–1672. 8 indexed citations
4.
Eaton, Samuel W., James T. Johnson, Scott M. Watson, et al.. (2022). An algorithmic approach to predicting mechanical draft cooling tower fan speeds from infrasound signals. Applied Acoustics. 199. 109015–109015. 4 indexed citations
5.
Blom, Philip, Brian W. Stump, Chris Hayward, et al.. (2022). Evaluating the location capabilities of a regional infrasonic network in Utah, US, using both ray tracing-derived and empirical-derived celerity-range and backazimuth models. Geophysical Journal International. 229(3). 2133–2146. 8 indexed citations
6.
Chai, Chengping, et al.. (2021). Seismically Detecting Nuclear Reactor Operations Using a Power Spectral Density (PSD) Misfit Detector. Bulletin of the Seismological Society of America. 111(3). 1378–1391. 5 indexed citations
7.
Stump, Brian W., Philip Blom, Omar Marcillo, et al.. (2020). Evaluating factors influencing infrasonic signal detection and automatic processing performance utilizing a regional network. The Journal of the Acoustical Society of America. 148(6). 3509–3526. 8 indexed citations
8.
Blom, Philip, et al.. (2020). Evaluation of a pair-based, joint-likelihood association approach for regional infrasound event identification. Geophysical Journal International. 221(3). 1750–1764. 6 indexed citations
9.
Marcillo, Omar & J. MacCarthy. (2020). Mapping Seismic Tonal Noise in the Contiguous United States. Seismological Research Letters. 91(3). 1707–1716. 9 indexed citations
10.
MacCarthy, J., Omar Marcillo, & Chad Trabant. (2019). Putting the Cloud to Work for Seismology. Eos. 100. 3 indexed citations
11.
Marcillo, Omar & Joshua Carmichael. (2018). The Detection of Wind‐Turbine Noise in Seismic Records. Seismological Research Letters. 89(5). 1826–1837. 21 indexed citations
12.
Blom, Philip & Omar Marcillo. (2016). An optimal parametrization framework for infrasonic tomography of the stratospheric winds using non-local sources. Geophysical Journal International. 208(3). 1557–1566. 9 indexed citations
13.
Arrowsmith, Stephen, et al.. (2016). Using Sounds from the Ocean to Measure Winds in the Stratosphere. Eos. 97. 1 indexed citations
14.
Arrowsmith, Stephen, et al.. (2015). Development of a robust and automated infrasound event catalogue using the International Monitoring System. Geophysical Journal International. 200(3). 1411–1422. 16 indexed citations
15.
Nippress, Alexandra, David N. Green, Omar Marcillo, & Stephen Arrowsmith. (2014). Generating regional infrasound celerity-range models using ground-truth information and the implications for event location. Geophysical Journal International. 197(2). 1154–1165. 31 indexed citations
16.
Johnson, J. B., Jacob F. Anderson, Omar Marcillo, & Stephen Arrowsmith. (2012). Probing local wind and temperature structure using infrasound from Volcan Villarrica (Chile). Journal of Geophysical Research Atmospheres. 117(D17). 26 indexed citations
17.
18.
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
19.
Werner-Allen, G., Konrad Lorincz, Mario Ruiz, et al.. (2006). Deploying a wireless sensor network on an active volcano. IEEE Internet Computing. 10(2). 18–25. 800 indexed citations breakdown →
20.
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

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.

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