Akemi Noda

1.2k total citations
29 papers, 726 citations indexed

About

Akemi Noda is a scholar working on Geophysics, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Akemi Noda has authored 29 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Geophysics, 7 papers in Artificial Intelligence and 3 papers in Mechanical Engineering. Recurrent topics in Akemi Noda's work include earthquake and tectonic studies (26 papers), High-pressure geophysics and materials (16 papers) and Seismic Waves and Analysis (11 papers). Akemi Noda is often cited by papers focused on earthquake and tectonic studies (26 papers), High-pressure geophysics and materials (16 papers) and Seismic Waves and Analysis (11 papers). Akemi Noda collaborates with scholars based in Japan and United States. Akemi Noda's co-authors include Mitsuhiro Matsu’ura, Chihiro Hashimoto, Takeshi Sagiya, Tatsuhiko Saito, Shunsuke Takemura, Yukitoshi Fukahata, Eiichi Fukuyama, Katsuhiko Shiomi, Takeshi Kimura and Youichi Asano and has published in prestigious journals such as Earth and Planetary Science Letters, Geophysical Research Letters and Nature Geoscience.

In The Last Decade

Akemi Noda

28 papers receiving 713 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akemi Noda Japan 16 707 142 31 25 22 29 726
Quentin Blétery France 14 521 0.7× 131 0.9× 18 0.6× 10 0.4× 16 0.7× 28 543
N. M. Bartlow United States 13 705 1.0× 131 0.9× 28 0.9× 10 0.4× 26 1.2× 19 738
E. H. Hearn United States 14 980 1.4× 91 0.6× 29 0.9× 45 1.8× 34 1.5× 30 1.0k
Ross S. Stein Japan 4 715 1.0× 79 0.6× 32 1.0× 28 1.1× 16 0.7× 6 743
Ezgi Karasözen United States 11 401 0.6× 64 0.5× 19 0.6× 32 1.3× 24 1.1× 24 437
Marius Kriegerowski Germany 11 532 0.8× 227 1.6× 15 0.5× 22 0.9× 9 0.4× 15 577
S. Nippress United Kingdom 13 535 0.8× 142 1.0× 19 0.6× 35 1.4× 10 0.5× 27 559
Serkan B. Bozkurt Japan 3 751 1.1× 80 0.6× 36 1.2× 28 1.1× 17 0.8× 4 783
Makoto Matsubara Japan 17 889 1.3× 128 0.9× 42 1.4× 17 0.7× 9 0.4× 42 930
Günter Asch Germany 12 982 1.4× 127 0.9× 56 1.8× 15 0.6× 8 0.4× 15 1.0k

Countries citing papers authored by Akemi Noda

Since Specialization
Citations

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

Fields of papers citing papers by Akemi Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akemi Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Akemi Noda. A scholar is included among the top collaborators of Akemi Noda 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 Akemi Noda. Akemi Noda 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.
Saito, Tatsuhiko & Akemi Noda. (2023). Mechanically Coupled Areas on the Plate Interface in the Kanto Region, Central Japan, Generating Great Earthquakes and Slow-Slip Events. Bulletin of the Seismological Society of America. 113(5). 1842–1855. 2 indexed citations
2.
Takemura, Shunsuke, Yohei Hamada, Kurama Okubo, et al.. (2023). A review of shallow slow earthquakes along the Nankai Trough. Earth Planets and Space. 75(1). 19 indexed citations
3.
Saito, Tatsuhiko & Akemi Noda. (2022). Mechanically Coupled Areas on the Plate Interface in the Nankai Trough, Japan and a Possible Seismic and Aseismic Rupture Scenario for Megathrust Earthquakes. Journal of Geophysical Research Solid Earth. 127(8). 12 indexed citations
4.
Tamaribuchi, Koji, et al.. (2022). Spatiotemporal Distribution of Shallow Tremors Along the Nankai Trough, Southwest Japan, as Determined From Waveform Amplitudes and Cross‐Correlations. Journal of Geophysical Research Solid Earth. 127(8). 18 indexed citations
5.
6.
Kubo, Hisahiko, Wataru Suzuki, & Akemi Noda. (2021). Effect of fault discretization on geodetic source inversion and usefulness of the trans-dimensional inversion approach. Geophysical Journal International. 229(2). 1063–1076. 1 indexed citations
7.
8.
Noda, Akemi, Tatsuhiko Saito, Eiichi Fukuyama, et al.. (2020). The 3‐D Spatial Distribution of Shear Strain Energy Changes Associated With the 2016 Kumamoto Earthquake Sequence, Southwest Japan. Geophysical Research Letters. 47(3). 7 indexed citations
9.
Terakawa, Toshiko, Mitsuhiro Matsu’ura, & Akemi Noda. (2020). Elastic strain energy and pore-fluid pressure control of aftershocks. Earth and Planetary Science Letters. 535. 116103–116103. 12 indexed citations
10.
Takemura, Shunsuke, Ryo Okuwaki, Tatsuya Kubota, et al.. (2020). Centroid moment tensor inversions of offshore earthquakes using a three-dimensional velocity structure model: slip distributions on the plate boundary along the Nankai Trough. Geophysical Journal International. 222(2). 1109–1125. 26 indexed citations
11.
Baba, Satoru, Shunsuke Takemura, Kazushige Obara, & Akemi Noda. (2020). Slow Earthquakes Illuminating Interplate Coupling Heterogeneities in Subduction Zones. Geophysical Research Letters. 47(14). 28 indexed citations
12.
Takemura, Shunsuke, Akemi Noda, Tatsuya Kubota, et al.. (2019). Migrations and Clusters of Shallow Very Low Frequency Earthquakes in the Regions Surrounding Shear Stress Accumulation Peaks Along the Nankai Trough. Geophysical Research Letters. 46(21). 11830–11840. 26 indexed citations
13.
Matsu’ura, Mitsuhiro, Akemi Noda, & Toshiko Terakawa. (2019). Physical interpretation of moment tensor and the energetics of shear faulting. Tectonophysics. 771. 228228–228228. 11 indexed citations
14.
Takemura, Shunsuke, Takanori Matsuzawa, Akemi Noda, et al.. (2019). Structural Characteristics of the Nankai Trough Shallow Plate Boundary Inferred From Shallow Very Low Frequency Earthquakes. Geophysical Research Letters. 46(8). 4192–4201. 48 indexed citations
15.
Terakawa, Toshiko, Mitsuhiro Matsu’ura, & Akemi Noda. (2019). Elastic strain energy and pore fluid pressure controlling aftershocks. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
16.
Noda, Akemi, Takahiro Miyauchi, Toshinori Sato, & Mitsuhiro Matsu’ura. (2018). Modelling and simulation of Holocene marine terrace development in Boso Peninsula, central Japan. Tectonophysics. 731-732. 139–154. 3 indexed citations
17.
Noda, Akemi, Tatsuhiko Saito, & Eiichi Fukuyama. (2018). Slip‐Deficit Rate Distribution Along the Nankai Trough, Southwest Japan, With Elastic Lithosphere and Viscoelastic Asthenosphere. Journal of Geophysical Research Solid Earth. 123(9). 8125–8142. 52 indexed citations
18.
Saito, Tatsuhiko, Akemi Noda, Keisuke Yoshida, & Sachiko Tanaka. (2018). Shear Strain Energy Change Caused by the Interplate Coupling Along the Nankai Trough: An Integration Analysis Using Stress Tensor Inversion and Slip‐Deficit Inversion. Journal of Geophysical Research Solid Earth. 123(7). 5975–5986. 19 indexed citations
19.
20.
Noda, Akemi, et al.. (2016). A New Attenuation Relationship for Velocity Response Spectra at the surface. Japan Geoscience Union.

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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