Koji Tamaribuchi

427 total citations
24 papers, 266 citations indexed

About

Koji Tamaribuchi is a scholar working on Geophysics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Koji Tamaribuchi has authored 24 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Geophysics, 16 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Koji Tamaribuchi's work include earthquake and tectonic studies (20 papers), Seismology and Earthquake Studies (16 papers) and Earthquake Detection and Analysis (10 papers). Koji Tamaribuchi is often cited by papers focused on earthquake and tectonic studies (20 papers), Seismology and Earthquake Studies (16 papers) and Earthquake Detection and Analysis (10 papers). Koji Tamaribuchi collaborates with scholars based in Japan, United States and Nepal. Koji Tamaribuchi's co-authors include Masumi Yamada, Stephen Wu, Yuki Kodera, Naoki Hayashimoto, Mitsuyuki Hoshiba, Masaki Nakamura, Yasuyuki YAMADA, Akemi Noda, Fuyuki Hirose and James L. Beck and has published in prestigious journals such as Geophysical Research Letters, Tectonophysics and Geophysical Journal International.

In The Last Decade

Koji Tamaribuchi

21 papers receiving 259 citations

Peers

Koji Tamaribuchi

GEOPH

CSE

EEE

Yuzo Ishigaki Japan

S. Horiuchi Japan

J. K. Saunders United States

Yuki Kodera Japan

C. Felizardo United States

J. M. Espinosa‐Aranda Mexico

Éric Beaucé United States

Jiuxun Yin United States

Takahiro Kunitomo Japan

Junghyun Park United States

Yuzo Ishigaki Japan

Koji Tamaribuchi

313 ×1.2

GEOPH

187 ×1.0

8 ×0.8

14 ×2.3

CSE

0 ×0.0

EEE

Citations per year, relative to Koji Tamaribuchi Koji Tamaribuchi (= 1×) peers Yuzo Ishigaki

Countries citing papers authored by Koji Tamaribuchi

Since Specialization

Citations

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

Fields of papers citing papers by Koji Tamaribuchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Tamaribuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Tamaribuchi. A scholar is included among the top collaborators of Koji Tamaribuchi 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 Koji Tamaribuchi. Koji Tamaribuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Naoi, Makoto, et al.. (2024). Neural phase picker trained on the Japan meteorological agency unified earthquake catalog. Earth Planets and Space. 76(1).

Hirose, Fuyuki, Koji Tamaribuchi, Akio Kobayashi, & Kenji Maeda. (2024). Relation between earthquake swarm activity and tides in the Noto region, Japan. Earth Planets and Space. 76(1).

Tamaribuchi, Koji, et al.. (2023). Detection of hidden earthquakes after the 2011 Tohoku earthquake by automatic hypocenter determination combined with machine learning. Earth Planets and Space. 75(1). 3 indexed citations

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

Nagata, Kohei, Koji Tamaribuchi, Fuyuki Hirose, & Akemi Noda. (2022). Statistical study on the regional characteristics of seismic activity in and around Japan: frequency-magnitude distribution and tidal correlation. Earth Planets and Space. 74(1). 1 indexed citations

Yamada, Masumi, Koji Tamaribuchi, & Stephen Wu. (2021). The Extended Integrated Particle Filter Method (IPFx) as a High-Performance Earthquake Early Warning System. Bulletin of the Seismological Society of America. 111(3). 1263–1272. 9 indexed citations

Hirose, Fuyuki, Koji Tamaribuchi, & Kenji Maeda. (2021). Characteristics of Foreshocks Revealed by an Earthquake Forecasting Method Based on Precursory Swarm Activity. Journal of Geophysical Research Solid Earth. 126(9). 7 indexed citations

Tamaribuchi, Koji, et al.. (2021). Noise classification for the unified earthquake catalog using ensemble learning: the enhanced image of seismic activity along the Japan Trench by the S-net seafloor network. Earth Planets and Space. 73(1). 8 indexed citations

Kodera, Yuki, et al.. (2021). Developments of the Nationwide Earthquake Early Warning System in Japan After the 2011 Mw9.0 Tohoku-Oki Earthquake. Frontiers in Earth Science. 9. 24 indexed citations

10.

Hirose, Fuyuki, Koji Tamaribuchi, & Kenji Maeda. (2020). Does an ETAS model dream of foreshocks?: Through the application of an earthquake forecasting method based on swarm-like activity. 1 indexed citations

11.

Hayashimoto, Naoki, et al.. (2020). Improvement of IPF method with utilization of Hi-net. 1 indexed citations

12.

Yamada, Masumi, T. Kandel, Koji Tamaribuchi, & Abhijit Ghosh. (2019). 3D Fault Structure Inferred from a Refined Aftershock Catalog for the 2015 Gorkha Earthquake in Nepal. Bulletin of the Seismological Society of America. 110(1). 26–37. 14 indexed citations

13.

Tamaribuchi, Koji, et al.. (2019). Characteristics of Shallow Low‐Frequency Earthquakes off the Kii Peninsula, Japan, in 2004 Revealed by Ocean Bottom Seismometers. Geophysical Research Letters. 46(23). 13737–13745. 10 indexed citations

14.

Tamaribuchi, Koji. (2018). Evaluation of automatic hypocenter determination in the JMA unified catalog. Earth Planets and Space. 70(1). 16 indexed citations

15.

Tamaribuchi, Koji, et al.. (2018). Characteristics of foreshock activity inferred from the JMA earthquake catalog. Earth Planets and Space. 70(1). 20 indexed citations

16.

Nanjo, K. Z., et al.. (2018). Related spatio-temporal changes in hypocenters and the b value in the 2017 Kagoshima Bay swarm activity indicating a rise of hot fluids. Tectonophysics. 749. 35–45. 8 indexed citations

17.

Katsumata, Akio, Yasuhiro Yoshida, Ken‐ichi Fujita, et al.. (2018). Detectability of seismic waves from the submarine landslide that caused the 1998 Papua New Guinea tsunami. Biogeosciences (European Geosciences Union). 1 indexed citations

18.

Kodera, Yuki, Yasuyuki YAMADA, Koji Tamaribuchi, et al.. (2018). The Propagation of Local Undamped Motion (PLUM) Method: A Simple and Robust Seismic Wavefield Estimation Approach for Earthquake Early Warning. Bulletin of the Seismological Society of America. 108(2). 983–1003. 79 indexed citations

19.

Yamada, Masumi, Koji Tamaribuchi, & Stephen Wu. (2014). Faster and More Accurate Earthquake Early Warning System. Journal of Japan Association for Earthquake Engineering. 14(4). 4_21–4_34. 5 indexed citations

20.

Tamaribuchi, Koji, et al.. (2003). DEVELOPEMENT AND ITS APPLICATION RESULTS OF REAL-TIME ROCK MASS CLASSIFICATION SYSTEM FOR TBM TUNNELS. Doboku Gakkai Ronbunshu. 2003(742). 75–86.

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.

Explore authors with similar magnitude of impact