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.
Fibre optic distributed acoustic sensing of volcanic events
2022107 citationsPhilippe Jousset, Gilda Currenti et al.Nature Communicationsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Athena Chalari
Since
Specialization
Citations
This map shows the geographic impact of Athena Chalari'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 Athena Chalari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Athena Chalari more than expected).
This network shows the impact of papers produced by Athena Chalari. 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 Athena Chalari. The network helps show where Athena Chalari may publish in the future.
Co-authorship network of co-authors of Athena Chalari
This figure shows the co-authorship network connecting the top 25 collaborators of Athena Chalari.
A scholar is included among the top collaborators of Athena Chalari 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 Athena Chalari. Athena Chalari is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jousset, Philippe, Gilda Currenti, Frederik Tilmann, et al.. (2019). Towards seismic and volcanic hazard assessment with distributed acoustic sensing in fibre optic cable. Publication Database GFZ (GFZ German Research Centre for Geosciences). 17281.1 indexed citations
11.
Currenti, Gilda, Philippe Jousset, A. Messina, et al.. (2019). Monitoring volcanic activity with fibre-optic Distributed Acoustic Sensing - first experiments at the Etna volcano. Publication Database GFZ (GFZ German Research Centre for Geosciences). 13088.1 indexed citations
Ciocca, Francesco, Ludovic Bodet, A. Clarke, et al.. (2017). Towards the Wetness Characterization of Soil Subsurface Using Fibre Optic Distributed Acoustic Sensing. HAL (Le Centre pour la Communication Scientifique Directe). 2017.2 indexed citations
Ciocca, Francesco, Stefan Krause, Athena Chalari, & Michael Mondanos. (2015). Fibre Optics Distributed Temperature Sensing for EcoHydrological Characterization of a Complex Terrain. EGU General Assembly Conference Abstracts. 13958.1 indexed citations
17.
Fratta, Dante, et al.. (2014). Using Distributed Acoustic Sensing (DAS) for Multichannel Analysis of Surface Waves (MASW) to Evaluate Ground Stiffness. AGU Fall Meeting Abstracts. 2014.5 indexed citations
18.
Lord, N. E., et al.. (2014). Field Trial of Distributed Acoustic Sensing Using Active Sources at Garner Valley, California. AGU Fall Meeting Abstracts. 2014.4 indexed citations
19.
Lord, N. E., et al.. (2014). Directivity and Sensitivity of Fiber-Optic Cable Measuring Ground Motion using a Distributed Acoustic Sensing Array. AGU Fall Meeting Abstracts. 2014.4 indexed citations
20.
Chalari, Athena, Michael Mondanos, D.C. Finfer, et al.. (2012). Short-term monitoring of a gas seep field in the Katakolo bay (Western Greece) using Raman spectra DTS and DAS fibre-optic methods. AGUFM. 2012.1 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.