Clara E. Yoon
- Geophysics top 5%
- earthquake and tectonic studies 13
- Earthquake Detection and Analysis 8
- Seismic Waves and Analysis 7
- High-pressure geophysics and materials 4
- Geological and Geochemical Analysis 2
- Seismic Imaging and Inversion Techniques 1
- Artificial Intelligence top 5%
- Seismology and Earthquake Studies 10
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- Time Series Analysis and Forecasting 1
- Co-authors
- Gregory C. BerozaKarianne J. BergenOssian O’ReillyWilliam L. EllsworthYihe HuangD. R. ShellyEgill HaukssonPhilip Levis
- Journals
- Bulletin of the Seismological Society of America (2 papers)Science Advances (2 papers)Seismological Research Letters (2 papers)
- Partner nations
- United StatesMexicoPuerto Rico
In The Last Decade
Clara E. Yoon
15 papers receiving 464 citations
Peers
Comparison fields: 5 of 43
- Geophysics 406
- Artificial Intelligence 332
- Signal Processing 41
- Ocean Engineering 21
- Management, Monitoring, Policy and Law 12
Countries citing papers authored by Clara E. Yoon
This map shows the geographic impact of Clara E. Yoon'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 Clara E. Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara E. Yoon more than expected).
Fields of papers citing papers by Clara E. Yoon
This network shows the impact of papers produced by Clara E. Yoon. 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 Clara E. Yoon. The network helps show where Clara E. Yoon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Clara E. Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 13 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 36 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 59 | |
| 14 | 2018 | 25 | |
| 15 | 2017 | 51 | |
| 16 | 2015 | 245 | |
| 17 | Computationally Efficient Search for Similar Seismic Signals in Continuous Waveform Data over a Seismic Network | 2014 | 2 |
About Clara E. Yoon
Clara E. Yoon is a scholar working on Geophysics, Artificial Intelligence, Signal Processing, Clinical Psychology and Civil and Structural Engineering, having authored 17 papers that have together received 478 indexed citations. Recurring topics across this work include earthquake and tectonic studies (13 papers), Seismology and Earthquake Studies (10 papers), Earthquake Detection and Analysis (8 papers), Seismic Waves and Analysis (7 papers), High-pressure geophysics and materials (4 papers), Geological and Geochemical Analysis (2 papers), Seismic Imaging and Inversion Techniques (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Geophysics (406 citations), Artificial Intelligence (332 citations), Signal Processing (41 citations), Ocean Engineering (21 citations) and Management, Monitoring, Policy and Law (12 citations). Clara E. Yoon has collaborated with scholars based in United States, Mexico and Puerto Rico. Frequent co-authors include Gregory C. Beroza, Karianne J. Bergen, Ossian O’Reilly, William L. Ellsworth, Yihe Huang, D. R. Shelly, Egill Hauksson, Philip Levis, Jennifer Andrews and Peter Bailis. Their work appears in journals such as Bulletin of the Seismological Society of America, Science Advances, Seismological Research Letters, Geophysical Research Letters and Journal of Geophysical Research Solid Earth.
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.