John Clinton

9.6k total citations · 2 hit papers
154 papers, 3.6k citations indexed

About

John Clinton is a scholar working on Geophysics, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, John Clinton has authored 154 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Geophysics, 78 papers in Artificial Intelligence and 25 papers in Astronomy and Astrophysics. Recurrent topics in John Clinton's work include Seismology and Earthquake Studies (76 papers), Seismic Waves and Analysis (63 papers) and earthquake and tectonic studies (60 papers). John Clinton is often cited by papers focused on Seismology and Earthquake Studies (76 papers), Seismic Waves and Analysis (63 papers) and earthquake and tectonic studies (60 papers). John Clinton collaborates with scholars based in Switzerland, United States and France. John Clinton's co-authors include Stefan Wiemer, Carlo Cauzzi, Domenico Giardini, Francesco Grigoli, Torsten Dahm, Simone Cesca, Antonio Pio Rinaldi, Donat Fäh, Maren Böse and Men‐Andrin Meier and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

John Clinton

140 papers receiving 3.5k citations

Hit Papers

The November 2017 M w 5.5 Pohang earthquake: A possible c... 2017 2026 2020 2023 2018 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Clinton Switzerland 34 2.7k 1.1k 612 472 377 154 3.6k
C. H. Thurber United States 47 8.6k 3.2× 1.5k 1.4× 275 0.4× 194 0.4× 266 0.7× 233 9.1k
Kuo‐Fong Ma Taiwan 33 3.7k 1.4× 659 0.6× 463 0.8× 104 0.2× 155 0.4× 135 4.0k
Chen Ji United States 33 5.0k 1.8× 702 0.7× 494 0.8× 96 0.2× 314 0.8× 90 5.6k
Anthony Sladen France 29 3.7k 1.4× 616 0.6× 238 0.4× 158 0.3× 248 0.7× 78 4.1k
Jim Mori Japan 33 3.6k 1.3× 696 0.7× 315 0.5× 125 0.3× 162 0.4× 101 3.9k
Jochen Zschau Germany 35 2.0k 0.8× 630 0.6× 630 1.0× 63 0.1× 270 0.7× 101 3.8k
Paul Bodin United States 32 3.6k 1.4× 1.0k 1.0× 488 0.8× 56 0.1× 147 0.4× 89 4.1k
John G. Anderson United States 40 5.1k 1.9× 579 0.5× 3.0k 4.9× 704 1.5× 136 0.4× 181 6.9k
Joan Gomberg United States 41 5.7k 2.1× 1.2k 1.2× 323 0.5× 47 0.1× 203 0.5× 128 6.1k
Rongjiang Wang Germany 31 3.4k 1.3× 495 0.5× 243 0.4× 81 0.2× 96 0.3× 103 3.8k

Countries citing papers authored by John Clinton

Since Specialization
Citations

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).

Fields of papers citing papers by John Clinton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
1.
Tatsis, Konstantinos, et al.. (2024). Unscented Kalman Filter–Based Fusion of GNSS, Accelerometer, and Rotation Sensors for Motion Tracking. Journal of Structural Engineering. 150(7). 3 indexed citations
2.
Dallo, Irina, John Clinton, W. Strauch, et al.. (2023). Earthquake early warning in Central America: The societal perspective. International Journal of Disaster Risk Reduction. 97. 103982–103982. 5 indexed citations
3.
Knapmeyer, Martin, Simon C. Stähler, Ana‐Catalina Plesa, et al.. (2023). The Global Seismic Moment Rate of Mars After Event S1222a. Geophysical Research Letters. 50(7). 8 indexed citations
4.
Παπαδόπουλος, Αθανάσιος, Maren Böse, Laurentiu Danciu, John Clinton, & Stefan Wiemer. (2023). A framework to quantify the effectiveness of earthquake early warning in mitigating seismic risk. Earthquake Spectra. 39(2). 938–961. 10 indexed citations
5.
Panning, M. P., W. B. Banerdt, Caroline Beghein, et al.. (2022). Locating the Largest Event Observed on Mars With Multi‐Orbit Surface Waves. Geophysical Research Letters. 50(1). 23 indexed citations
6.
Stähler, Simon C., Anna Mittelholz, C. Perrin, et al.. (2022). Tectonics of Cerberus Fossae unveiled by marsquakes. Nature Astronomy. 6(12). 1376–1386. 44 indexed citations
7.
Kawamura, Taïchi, John Clinton, Géraldine Zenhäusern, et al.. (2022). S1222a—The Largest Marsquake Detected by InSight. Geophysical Research Letters. 50(5). 34 indexed citations
8.
Kim, Doyeon, Simon C. Stähler, Savas Ceylan, et al.. (2022). Structure Along the Martian Dichotomy Constrained by Rayleigh and Love Waves and Their Overtones. Geophysical Research Letters. 50(8). 19 indexed citations
9.
Tatsis, Konstantinos, et al.. (2021). Kalman Filter-Based Fusion of Collocated Acceleration, GNSS and Rotation Data for 6C Motion Tracking. Sensors. 21(4). 1543–1543. 9 indexed citations
10.
Beghein, Caroline, M. P. Panning, M. Drilleau, et al.. (2020). Measuring Fundamental and Higher Mode Surface Wave Dispersion on Mars From Seismic Waveforms. Earth and Space Science. 8(2). 2 indexed citations
11.
Knapmeyer, Martin, Simon C. Stähler, Martin van Driel, et al.. (2020). Is there a Seasonality of the Martian Seismic Event Rate?. elib (German Aerospace Center). 1 indexed citations
12.
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
17.
Cauzzi, Carlo & John Clinton. (2013). A High‐ and Low‐Noise Model for High‐Quality Strong‐Motion Accelerometer Stations. Earthquake Spectra. 29(1). 85–102. 49 indexed citations
18.
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
19.
Clinton, John, et al.. (2012). An Almost Fair Comparison Between Earthworm and SeisComp3. Seismological Research Letters. 83(4). 720–727. 39 indexed citations
20.
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026