Keisuke Ariyoshi

916 total citations
40 papers, 404 citations indexed

About

Keisuke Ariyoshi is a scholar working on Geophysics, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Keisuke Ariyoshi has authored 40 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Geophysics, 12 papers in Artificial Intelligence and 9 papers in Atmospheric Science. Recurrent topics in Keisuke Ariyoshi's work include earthquake and tectonic studies (33 papers), Geological and Geochemical Analysis (16 papers) and High-pressure geophysics and materials (14 papers). Keisuke Ariyoshi is often cited by papers focused on earthquake and tectonic studies (33 papers), Geological and Geochemical Analysis (16 papers) and High-pressure geophysics and materials (14 papers). Keisuke Ariyoshi collaborates with scholars based in Japan, United States and New Zealand. Keisuke Ariyoshi's co-authors include Toru Matsuzawa, Takane Hori, Akira Hasegawa, Ryota Hino, Hiroyuki Matsumoto, Yoshiyuki Kaneda, Akira Nagano, Takuya Hasegawa, Ryoko Nakata and Akira Hasegawa and has published in prestigious journals such as Scientific Reports, Earth and Planetary Science Letters and Geophysical Research Letters.

In The Last Decade

Keisuke Ariyoshi

38 papers receiving 391 citations

Peers

Keisuke Ariyoshi
Stephen Monna Italy
Patrick Hupe Germany
K. M. Hodgkinson United States
Charles S. McCreery United States
H. Parra Chile
Kathryn Materna United States
M. J. Hossen Australia
M. Bartsch Germany
Caterina Montuori Italy
Sri Hidayati Indonesia
Stephen Monna Italy
Keisuke Ariyoshi
Citations per year, relative to Keisuke Ariyoshi Keisuke Ariyoshi (= 1×) peers Stephen Monna

Countries citing papers authored by Keisuke Ariyoshi

Since Specialization
Citations

This map shows the geographic impact of Keisuke Ariyoshi'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 Keisuke Ariyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Ariyoshi more than expected).

Fields of papers citing papers by Keisuke Ariyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keisuke Ariyoshi. 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 Keisuke Ariyoshi. The network helps show where Keisuke Ariyoshi may publish in the future.

Co-authorship network of co-authors of Keisuke Ariyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Ariyoshi. A scholar is included among the top collaborators of Keisuke Ariyoshi 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 Keisuke Ariyoshi. Keisuke Ariyoshi 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.
Ariyoshi, Keisuke, Akira Nagano, Takuya Hasegawa, et al.. (2024). A physical explanation for an unusually long-duration slow slip event in the Nankai Trough. Tectonophysics. 887. 230439–230439.
2.
Nanjo, K. Z., et al.. (2024). Earthquake detection capacity of the Dense Oceanfloor Network system for Earthquakes and Tsunamis (DONET). Journal of Seismology. 28(3). 787–810. 1 indexed citations
3.
Wang, Yuchen, Kentaro Imai, Iyan E. Mulia, et al.. (2023). Data Assimilation Using High‐Frequency Radar for Tsunami Early Warning: A Case Study of the 2022 Tonga Volcanic Tsunami. Journal of Geophysical Research Solid Earth. 128(2). 20 indexed citations
4.
Wang, Yuchen, Kentaro Imai, Takuya Miyashita, et al.. (2023). Coastal tsunami prediction in Tohoku region, Japan, based on S-net observations using artificial neural network. Earth Planets and Space. 75(1). 13 indexed citations
5.
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Wakita, Masahide, Shuichi Watanabe, Jun Yoshino, et al.. (2022). Deep-sea bottom-water environment change caused by sediment resuspension on the continental slope off Sanriku, Japan, before and after the 2011 Tohoku Earthquake. Progress in Earth and Planetary Science. 9(1). 2 indexed citations
7.
Nagano, Akira, Takuya Hasegawa, Keisuke Ariyoshi, & Hiroyuki Matsumoto. (2022). Interannual Bottom-Intensified Current Thickening Observed on the Continental Slope Off the Southeastern Coast of Hokkaido, Japan. Fluids. 7(2). 84–84. 2 indexed citations
8.
Nagano, Akira, Yusuke Yamashita, Keisuke Ariyoshi, et al.. (2021). Seafloor Pressure Change Excited at the Northwest Corner of the Shikoku Basin by the Formation of the Kuroshio Large-Meander in September 2017. Frontiers in Earth Science. 8. 7 indexed citations
9.
Gomberg, Joan, Keisuke Ariyoshi, Susan Hautala, & H. Paul Johnson. (2021). The Finicky Nature of Earthquake Shaking‐Triggered Submarine Sediment Slope Failures and Sediment Gravity Flows. Journal of Geophysical Research Solid Earth. 126(10). 3 indexed citations
10.
Gomberg, Joan, et al.. (2020). The Ocean's Impact on Slow Slip Events. Geophysical Research Letters. 47(14). 4 indexed citations
11.
Hasegawa, Takuya, Akira Nagano, Hiroyuki Matsumoto, Keisuke Ariyoshi, & Masahide Wakita. (2019). El Niño-related sea surface elevation and ocean bottom pressure enhancement associated with the retreat of the Oyashio southeast of Hokkaido, Japan. Marine Geophysical Research. 40(4). 505–512. 10 indexed citations
12.
Itoh, Yuji, Takuya Nishimura, Keisuke Ariyoshi, & Hiroyuki Matsumoto. (2019). Interplate Slip Following the 2003 Tokachi‐oki Earthquake From Ocean Bottom Pressure Gauge and Land GNSS Data. Journal of Geophysical Research Solid Earth. 124(4). 4205–4230. 20 indexed citations
13.
Nakata, Ryoko, Takane Hori, Mamoru Hyodo, & Keisuke Ariyoshi. (2016). Possible scenarios for occurrence of M ~ 7 interplate earthquakes prior to and following the 2011 Tohoku-Oki earthquake based on numerical simulation. Scientific Reports. 6(1). 25704–25704. 17 indexed citations
14.
Ariyoshi, Keisuke, Toru Matsuzawa, Ryota Hino, et al.. (2014). A trial derivation of seismic plate coupling by focusing on the activity of shallow slow earthquakes. Earth Planets and Space. 66(1). 6 indexed citations
15.
Ariyoshi, Keisuke, Ryoko Nakata, Toru Matsuzawa, et al.. (2013). The detectability of shallow slow earthquakes by the Dense Oceanfloor Network system for Earthquakes and Tsunamis (DONET) in Tonankai district, Japan. Marine Geophysical Research. 35(3). 295–310. 20 indexed citations
16.
Kawaguchi, Katsuyoshi, H. Matsumoto, Takeshi Nakamura, et al.. (2009). Dense Ocean Floor Network for Earthquakes and Tsunamis; DONET/ DONET2, Part2 -Development and data application for the mega thrust earthquakes around the Nankai trough-. AGU Fall Meeting Abstracts. 2009. 14 indexed citations
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18.
Ariyoshi, Keisuke, Takane Hori, Jean‐Paul Ampuero, et al.. (2009). Influence of interaction between small asperities on various types of slow earthquakes in a 3-D simulation for a subduction plate boundary. Gondwana Research. 16(3-4). 534–544. 32 indexed citations
19.
Ariyoshi, Keisuke, Toru Matsuzawa, Yasuo Yabe, et al.. (2009). Character of slip and stress due to interaction between fault segments along the dip direction of a subduction zone. Journal of Geodynamics. 48(2). 55–67. 9 indexed citations
20.
Ariyoshi, Keisuke, Toru Matsuzawa, Yasuo Yabe, Akira Hasegawa, & Naoyuki Kato. (2007). Interaction between Fault Segments on a Subducting Plate Interface. Zisin (Journal of the Seismological Society of Japan 2nd ser ). 59(4). 309–324. 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.

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