Takuya Nishimura

6.1k total citations · 1 hit paper
164 papers, 4.2k citations indexed

About

Takuya Nishimura is a scholar working on Geophysics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Takuya Nishimura has authored 164 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Geophysics, 35 papers in Electrical and Electronic Engineering and 24 papers in Artificial Intelligence. Recurrent topics in Takuya Nishimura's work include earthquake and tectonic studies (103 papers), Geological and Geochemical Analysis (51 papers) and High-pressure geophysics and materials (41 papers). Takuya Nishimura is often cited by papers focused on earthquake and tectonic studies (103 papers), Geological and Geochemical Analysis (51 papers) and High-pressure geophysics and materials (41 papers). Takuya Nishimura collaborates with scholars based in Japan, United States and Hungary. Takuya Nishimura's co-authors include Shinzaburo Ozawa, Mikio Tobita, Tetsuro Imakiire, Hisashi Suito, Tomokazu Kobayashi, Takeshi Sagiya, Makoto Murakami, Takashi Tada, Hiroshi Yarai and Wayne Thatcher and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Takuya Nishimura

157 papers receiving 4.0k citations

Hit Papers

Coseismic and postseismic slip of the 2011 magnitude-9 To... 2011 2026 2016 2021 2011 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
Takuya Nishimura Japan 34 3.3k 616 348 339 230 164 4.2k
Yuji Yagi Japan 37 2.7k 0.8× 426 0.7× 166 0.5× 552 1.6× 112 0.5× 178 4.1k
J. B. Johnson United States 31 2.4k 0.7× 719 1.2× 131 0.4× 304 0.9× 462 2.0× 107 3.1k
Pascal Bernard France 32 2.2k 0.7× 441 0.7× 66 0.2× 193 0.6× 53 0.2× 106 3.2k
Sang‐Ho Yun United States 29 1.1k 0.3× 234 0.4× 678 1.9× 56 0.2× 395 1.7× 98 2.6k
Yong Zheng China 32 2.9k 0.9× 329 0.5× 72 0.2× 86 0.3× 87 0.4× 111 3.6k
Kenichiro Tani Japan 33 2.6k 0.8× 838 1.4× 121 0.3× 417 1.2× 359 1.6× 150 4.3k
Yoshikazu Tanaka Japan 28 1.1k 0.3× 112 0.2× 69 0.2× 330 1.0× 80 0.3× 161 2.3k
Frédéric Masson France 37 3.8k 1.1× 342 0.6× 824 2.4× 50 0.1× 692 3.0× 151 5.5k
Joan Gomberg United States 41 5.7k 1.7× 1.2k 2.0× 242 0.7× 34 0.1× 203 0.9× 128 6.1k

Countries citing papers authored by Takuya Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Nishimura. A scholar is included among the top collaborators of Takuya Nishimura 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 Takuya Nishimura. Takuya Nishimura 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.
Chuang, Ray Y., et al.. (2025). Balancing of geodetic and seismic moment rates and its implications for probabilistic seismic hazard analysis in Taiwan. Earth Planets and Space. 77(1). 1 indexed citations
2.
Gunawan, E., Nuraini Rahma Hanifa, D. H. Natawidjaja, et al.. (2024). Early postseismic slip of the 21 November 2022 Mw 5.6 Cianjur, Indonesia, earthquake based on GPS measurements. New Zealand Journal of Geology and Geophysics. 68(5). 929–940.
3.
Iinuma, Takeshi, et al.. (2024). Revisiting Slip Deficit Rates and Its Insights Into Large and Slow Earthquakes at the Nankai Subduction Zone. Journal of Geophysical Research Solid Earth. 129(12). 2 indexed citations
4.
Agostinetti, Nicola Piana, Andreas Fichtner, Arantza Ugalde, et al.. (2024). Modelling uncertainty in P-wave arrival-times retrieved from DAS data: case-studies from 15 fibre optic cables. Geophysical Journal International. 239(3). 1928–1942. 4 indexed citations
5.
Nishimura, Takuya, et al.. (2023). Systematic Detection of Short‐Term Slow Slip Events in Southcentral Alaska. Geophysical Research Letters. 50(17). 4 indexed citations
6.
Nishimura, Takuya. (2022). Time-independent forecast model for large crustal earthquakes in southwest Japan using GNSS data. Earth Planets and Space. 74(1). 10 indexed citations
7.
Tago, Josué, V. M. Cruz‐Atienza, Takuya Nishimura, et al.. (2021). Adjoint slip inversion under a constrained optimization framework: revisiting the 2006 Guerrero slow slip event. Geophysical Journal International. 226(2). 1187–1205. 4 indexed citations
8.
Fukahata, Yukitoshi, et al.. (2021). Consistent estimation of strain-rate fields from GNSS velocity data using basis function expansion with ABIC. Earth Planets and Space. 73(1). 20 indexed citations
9.
Nishimura, Takuya. (2020). Slow Slip Events in the Kanto and Tokai Regions of Central Japan Detected Using Global Navigation Satellite System Data During 1994–2020. Geochemistry Geophysics Geosystems. 22(2). 18 indexed citations
10.
Oohashi, Kiyokazu, et al.. (2020). The Quaternary Tectonics of Central Kyushu and the 2016 Kumamoto Earthquake: From a Multifaceted Viewpoint Combining Geology, Seismology, and Geodesy. Journal of Geography (Chigaku Zasshi). 129(4). 565–589. 7 indexed citations
12.
Nishikawa, T., Takanori Matsuzawa, Kazuaki Ohta, et al.. (2019). The slow earthquake spectrum in the Japan Trench illuminated by the S-net seafloor observatories. Science. 365(6455). 808–813. 140 indexed citations
13.
Ohta, Yusaku, et al.. (2017). REGARD: A new GNSS‐based real‐time finite fault modeling system for GEONET. Journal of Geophysical Research Solid Earth. 122(2). 1324–1349. 57 indexed citations
14.
Nishimura, Takuya, et al.. (2017). Crustal deformation of the 2016 October 21th M 6.6 earthquake in central Tottori prefecture.. Japan Geoscience Union. 1 indexed citations
15.
Matsumoto, Satoshi, Takuya Nishimura, & Takahiro Ohkura. (2016). Inelastic strain rate in the seismogenic layer of Kyushu Island, Japan. Earth Planets and Space. 68(1). 17 indexed citations
16.
Nishimura, Takuya, et al.. (2015). AN ANALYTICAL HYSTERESIS MODEL FOR LEAD DAMPERS TO CONSIDER THE VARIATIONS OF MECANICAL PROPERTIES DUE TO CYCLIC LOADING. Journal of Structural and Construction Engineering (Transactions of AIJ). 80(711). 735–743. 3 indexed citations
17.
Tabata, Toshiyuki, et al.. (2013). Enhancement of high-N s electron mobility in sub-nm EOT Ge n-MOSFETs. Symposium on VLSI Technology. 15 indexed citations
18.
Nakajima, Y., Koji Kita, Takuya Nishimura, Kosuke Nagashio, & Akira Toriumi. (2011). Phase transformation kinetics of HfO 2 polymorphs in ultra-thin region. Symposium on VLSI Technology. 84–85. 7 indexed citations
19.
Nyst, M., Fred F. Pollitz, Wayne Thatcher, Takuya Nishimura, & Nobuo Hamada. (2005). The Stress Triggering Role of the 1923 Kanto Earthquake.. AGU Fall Meeting Abstracts. 2005(1). 107–17. 1 indexed citations
20.
Sato, Takanori, et al.. (2001). PROPOSAL OF SLIM COLUMN STRUCTURE CONTROLLED WITH VISCOELASTIC DAMPERS AND STRUCTURAL DESIGN METHOD. Journal of Structural and Construction Engineering (Transactions of AIJ). 66(543). 45–50. 3 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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