Shinji Toda

6.2k total citations · 2 hit papers
119 papers, 4.7k citations indexed

About

Shinji Toda is a scholar working on Geophysics, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Shinji Toda has authored 119 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Geophysics, 32 papers in Artificial Intelligence and 14 papers in Atmospheric Science. Recurrent topics in Shinji Toda's work include earthquake and tectonic studies (105 papers), Geological and Geochemical Analysis (50 papers) and High-pressure geophysics and materials (40 papers). Shinji Toda is often cited by papers focused on earthquake and tectonic studies (105 papers), Geological and Geochemical Analysis (50 papers) and High-pressure geophysics and materials (40 papers). Shinji Toda collaborates with scholars based in Japan, United States and Taiwan. Shinji Toda's co-authors include Ross S. Stein, K. B. Richards‐Dinger, Serkan B. Bozkurt, Ross S. Stein, James H. Dieterich, Jian Lin, Takeshi Sagiya, Akio Yoshida, Paul A. Reasenberg and Tom Parsons and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Shinji Toda

115 papers receiving 4.5k citations

Hit Papers

Forecasting the evolution of seismicity in southern Calif... 1998 2026 2007 2016 2005 1998 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinji Toda Japan 31 4.3k 656 288 273 204 119 4.7k
Jim Mori Japan 33 3.6k 0.8× 696 1.1× 315 1.1× 162 0.6× 188 0.9× 101 3.9k
Shengji Wei Singapore 31 3.7k 0.8× 533 0.8× 268 0.9× 155 0.6× 245 1.2× 129 4.1k
Keith D. Koper United States 36 3.9k 0.9× 824 1.3× 227 0.8× 178 0.7× 150 0.7× 121 4.2k
Andreas Rietbrock United Kingdom 39 4.1k 0.9× 654 1.0× 226 0.8× 217 0.8× 70 0.3× 165 4.3k
G. P. Hayes United States 33 4.8k 1.1× 933 1.4× 391 1.4× 222 0.8× 122 0.6× 98 5.1k
Kuo‐Fong Ma Taiwan 33 3.7k 0.8× 659 1.0× 463 1.6× 155 0.6× 156 0.8× 135 4.0k
Luis Rivera France 42 5.7k 1.3× 843 1.3× 292 1.0× 278 1.0× 152 0.7× 133 6.1k
Sylvain Barbot United States 40 4.1k 0.9× 395 0.6× 127 0.4× 435 1.6× 301 1.5× 115 4.9k
C. Chiarabba Italy 46 7.0k 1.6× 805 1.2× 447 1.6× 409 1.5× 248 1.2× 181 7.4k
H. Benz United States 38 4.2k 1.0× 834 1.3× 275 1.0× 135 0.5× 83 0.4× 146 4.5k

Countries citing papers authored by Shinji Toda

Since Specialization
Citations

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

Fields of papers citing papers by Shinji Toda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinji Toda

This figure shows the co-authorship network connecting the top 25 collaborators of Shinji Toda. A scholar is included among the top collaborators of Shinji Toda 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 Shinji Toda. Shinji Toda 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.
Fukushima, Y., Daisuke Ishimura, Luca C. Malatesta, et al.. (2024). Landscape changes caused by the 2024 Noto Peninsula earthquake in Japan. Science Advances. 10(49). eadp9193–eadp9193. 13 indexed citations
2.
Okumura, Koji, et al.. (2024). DEVELOPMENT OF MODEL OF SEISMIC SOURCE CHARACTERISTICS AT THE IKATA SITE BASED ON GUIDELINES FOR SSHAC LEVEL 3. Journal of Japan Association for Earthquake Engineering. 24(2). 2_30–2_56.
3.
Shyu, J. Bruce H., et al.. (2023). Transient Response and Adjustment Timescales of Channel Width and Angle of Valley‐Side Slopes to Accelerated Incision. Journal of Geophysical Research Earth Surface. 128(8). 3 indexed citations
4.
Mildon, Zoë, Gerald Roberts, Joanna Faure Walker, et al.. (2022). Surface faulting earthquake clustering controlled by fault and shear-zone interactions. Nature Communications. 13(1). 7126–7126. 30 indexed citations
6.
Toda, Shinji & Daisuke Ishimura. (2019). Evaluation of short active faults reflected from distributed minor surface breaks found at recent inland large earthquakes including the 2016 Kumamoto earthquake. The Quaternary Research (Daiyonki-Kenkyu). 58(2). 121–136. 4 indexed citations
7.
Mildon, Zoë, Gerald Roberts, Joanna Faure Walker, & Shinji Toda. (2019). Coulomb pre-stress and fault bends are ignored yet vital factors for earthquake triggering and hazard. Nature Communications. 10(1). 2744–2744. 54 indexed citations
8.
Stein, Ross S., et al.. (2019). Magnitude 7.1 earthquake rips northwest from the M6.4 just 34 hours later. 3 indexed citations
9.
Toda, Shinji & Ross S. Stein. (2017). The September 2017 M=8.1 Chiapas and M=7.1 Puebla, Mexico, earthquakes: Chain reaction or coincidence?. AGUFM. 2017. 1 indexed citations
10.
Mildon, Zoë, Shinji Toda, Joanna Faure Walker, & Gerald Roberts. (2016). Evaluating models of Coulomb stress transfer: Is variable fault geometry important?. Geophysical Research Letters. 43(24). 59 indexed citations
11.
Toda, Shinji, et al.. (2016). Slip-partitioned Surface Ruptures for the Mw 7.0 2016 Kumamoto, Japan, Earthquake. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
12.
Toda, Shinji, et al.. (2014). Holocene sedimentary facies, sediment accumulation rate and coastal subsidence estimated from a sediment core in the Rikuzentakata Plain, northeast Japan. The Quaternary Research (Daiyonki-Kenkyu). 53(6). 311–322. 14 indexed citations
13.
Toda, Shinji, et al.. (2014). Aftershock activity of the 2008 Iwate-Miyagi inland earthquake suppressed by stress shadow of the 2011 Tohoku earthquake. Japan Geoscience Union. 1 indexed citations
14.
Meghraoui, Mustapha, et al.. (2012). Constraint of the active coastal deformation and seismic cycle in the 2011 Mw 9.0 Tohoku-oki earthquake area. AGUFM. 2012. 1 indexed citations
15.
Toda, Shinji. (2012). Long-term Earthquake Forecasting Associated with the 2011 off the Pacific Coast of Tohoku Earthquake. JAPANESE JOURNAL OF MULTIPHASE FLOW. 26(1). 4–10. 2 indexed citations
16.
Toda, Shinji & Bogdan Enescu. (2011). Rate/state Coulomb stress transfer model for the CSEP Japan seismicity forecast. Earth Planets and Space. 63(3). 171–185. 43 indexed citations
17.
Stein, Ross S., Jiun‐Chuan Lin, Shinji Toda, & S. E. Barrientos. (2010). Strong static stress interaction of the 1960 M=9.5 and 2010 M=8.8 Chile earthquakes and their aftershocks. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
18.
Haraguchi, Tsuyoshi, et al.. (2009). Development of volcano-tectonic uplift zone and active faults::An example from Shinjima Island nearby the Sakurajima Volcano, southwest Japan. 2009(31). 11–18. 1 indexed citations
19.
Bozkurt, Serkan B., Ross S. Stein, & Shinji Toda. (2007). Forecasting Probabilistic Seismic Shaking for Greater Tokyo from 400 Years of Intensity Observations. Earthquake Spectra. 23(3). 525–546. 25 indexed citations
20.
Wiemer, Stefan, Shinji Toda, & J. Woessner. (2004). The Role of Stress in Causing High b-Value Regions in Aftershock Zones. AGU Fall Meeting Abstracts. 2004. 2 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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