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.
The November 2017 Mw 5.5 Pohang earthquake: A possible case of induced seismicity in South Korea
2018373 citationsFrancesco Grigoli, John Clinton et al.profile →
Current challenges in monitoring, discrimination, and management of induced seismicity related to underground industrial activities: A European perspective
2017244 citationsFrancesco Grigoli, John Clinton 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 John Clinton'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 John Clinton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Clinton more than expected).
This network shows the impact of papers produced by John Clinton. 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 John Clinton. The network helps show where John Clinton may publish in the future.
Co-authorship network of co-authors of John Clinton
This figure shows the co-authorship network connecting the top 25 collaborators of John Clinton.
A scholar is included among the top collaborators of John Clinton 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 John Clinton. John Clinton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Grigoli, Francesco, et al.. (2017). Picking vs Waveform based detection and location methods for induced seismicity monitoring. EGU General Assembly Conference Abstracts. 19. 10562.1 indexed citations
13.
Massin, Frédérick, et al.. (2016). Assessing the Applicability of Earthquake Early Warning in Nicaragua.. AGU Fall Meeting Abstracts. 2016.1 indexed citations
14.
Hetényi, György, Irene Molinari, John Clinton, & Edi Kissling. (2016). The AlpArray Seismic Network: current status and next steps. EGUGA.2 indexed citations
15.
Evans, Peter William, et al.. (2015). Introduction of digital object identifiers (DOI) for seismic networks. EGU General Assembly Conference Abstracts. 11525.
16.
Hamiel, Yariv, Gidon Baer, R. M. Allen, et al.. (2013). Earthquake early warning for Israel: Recommended implementation strategy. EGUGA.10 indexed citations
Behr, Yannik, John Clinton, G. Cua, et al.. (2013). Evaluation of Real-Time and Off-Line Performance of the Virtual Seismologist Earthquake Early Warning Algorithm in Switzerland. EGUGA.1 indexed citations
Clinton, John, et al.. (2010). The Swiss Seismological Service in Greenland: Network Building and Research Initiatives. AGU Fall Meeting Abstracts. 2010(42). 1252–4.1 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.