R. M. Allen
- Geophysics top 0.1%
- Artificial Intelligence top 0.2%
- Ocean Engineering top 1%
- Civil and Structural Engineering top 5%
- Aerospace Engineering top 5%
- Co-authors
- Hiroo KanamoriDiego MelgarM. R. BrudzinskiQingkai KongMei XueS. HungMathias ObrebskiH. S. Kuyuk
- Topics
- Seismology and Earthquake Studies (94 papers)earthquake and tectonic studies (81 papers)Seismic Waves and Analysis (68 papers)
- Journals
- NatureScienceNature Communications
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
R. M. Allen
166 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Geophysics 6.4k
- Artificial Intelligence 3.6k
- Ocean Engineering 380
- Civil and Structural Engineering 294
- Aerospace Engineering 266
Countries citing papers authored by R. M. Allen
This map shows the geographic impact of R. M. Allen'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 R. M. Allen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. M. Allen more than expected).
Fields of papers citing papers by R. M. Allen
This network shows the impact of papers produced by R. M. Allen. 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 R. M. Allen. The network helps show where R. M. Allen may publish in the future.
Co-authorship network of co-authors of R. M. Allen
This figure shows the co-authorship network connecting the top 25 collaborators of R. M. Allen. A scholar is included among the top collaborators of R. M. Allen 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 R. M. Allen. R. M. Allen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 30 | |
| 12 | 100 | |
| 13 | Earthquake early warning for Israel: Recommended implementation strategy | 10 |
| 14 | G-larmS: Integrating Real-Time GPS into Earthquake Early Warning | 1 |
| 15 | CISN ShakeAlert: Decision Module Enhancements for Earthquake Alerts | 2 |
| 16 | Segmentation of the Cascades Volcanic Arc Revealed Through Ambient Noise Based Surface Wave Tomography | 1 |
| 17 | Complex geological interactions in the mantle beneath western USA | 2 |
| 18 | Earthquake Early Warning | 1 |
| 19 | Kinematics of the Yellowstone hotspot derived from seismic anisotropy, tomography, and GPS | 2 |
| 20 | IMPACT OF B-DOUBLES ON GRAIN TRANSPORT COSTS | 1 |
About R. M. Allen
R. M. Allen is a scholar working on Geophysics, Artificial Intelligence and Signal Processing, having authored 173 papers that have together received 7.2k indexed citations. Recurring topics across this work include Seismology and Earthquake Studies (94 papers), earthquake and tectonic studies (81 papers) and Seismic Waves and Analysis (68 papers). The work is most often cited by research in Geophysics (6.4k citations), Artificial Intelligence (3.6k citations) and Ocean Engineering (380 citations). R. M. Allen has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Hiroo Kanamori, Diego Melgar, M. R. Brudzinski, Qingkai Kong, Mei Xue, S. Hung, Mathias Obrebski, H. S. Kuyuk, Robert Porritt and R. Martin‐Short. Their work appears in journals such as Nature, Science and Nature Communications.
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.