Hiroshi Tsuruoka

2.6k total citations · 1 hit paper
66 papers, 1.8k citations indexed

About

Hiroshi Tsuruoka is a scholar working on Geophysics, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Hiroshi Tsuruoka has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Geophysics, 24 papers in Artificial Intelligence and 14 papers in Global and Planetary Change. Recurrent topics in Hiroshi Tsuruoka's work include earthquake and tectonic studies (33 papers), Seismology and Earthquake Studies (19 papers) and Earthquake Detection and Analysis (18 papers). Hiroshi Tsuruoka is often cited by papers focused on earthquake and tectonic studies (33 papers), Seismology and Earthquake Studies (19 papers) and Earthquake Detection and Analysis (18 papers). Hiroshi Tsuruoka collaborates with scholars based in Japan, United States and Germany. Hiroshi Tsuruoka's co-authors include Naoshi Hirata, Kazushige Obara, Shigeki Nakagawa, Aitaro Kato, Toshihiro Igarashi, Masakazu Ohtake, Haruo Sato, Takeo Ishibe, Ryoko Nakata and N. Suda and has published in prestigious journals such as Science, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Hiroshi Tsuruoka

65 papers receiving 1.7k citations

Hit Papers

Propagation of Slow Slip ... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Tsuruoka Japan 19 1.4k 481 171 111 88 66 1.8k
Linlin Li China 22 753 0.5× 116 0.2× 10 0.1× 3 0.0× 138 1.6× 93 1.7k
Maria Quarto Italy 22 46 0.0× 69 0.1× 93 0.5× 482 4.3× 189 2.1× 83 1.3k
Christian Lajaunie France 12 129 0.1× 104 0.2× 73 0.4× 21 0.2× 15 0.2× 18 736
Gerardo J. Soto Costa Rica 15 365 0.3× 71 0.1× 100 0.6× 14 0.1× 36 0.4× 47 599
C. Bellecci Italy 22 163 0.1× 94 0.2× 13 0.1× 18 0.2× 381 4.3× 117 1.4k
Maomao Wang China 23 1.0k 0.7× 69 0.1× 52 0.3× 3 0.0× 13 0.1× 59 1.5k
Sebastian Heimann Germany 28 1.9k 1.4× 385 0.8× 185 1.1× 1 0.0× 43 0.5× 97 2.5k
Mohamed Ahmed Youssef Egypt 13 164 0.1× 199 0.4× 36 0.2× 75 0.7× 19 0.2× 51 552
Toshihiro Igarashi Japan 20 1.9k 1.4× 363 0.8× 10 0.1× 16 0.1× 23 0.3× 43 2.0k
C. Barceló‐Vidal Spain 12 172 0.1× 430 0.9× 14 0.1× 17 0.2× 22 0.3× 23 1.0k

Countries citing papers authored by Hiroshi Tsuruoka

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Tsuruoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Tsuruoka

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Tsuruoka. A scholar is included among the top collaborators of Hiroshi Tsuruoka 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 Hiroshi Tsuruoka. Hiroshi Tsuruoka 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.
Nagao, Hiromichi, et al.. (2023). Detection of Deep Low‐Frequency Tremors From Continuous Paper Records at a Station in Southwest Japan About 50 Years Ago Based on Convolutional Neural Network. Journal of Geophysical Research Solid Earth. 128(2). 1 indexed citations
2.
Ye, Lingling, Thorne Lay, Hiroo Kanamori, et al.. (2023). Very Long-Period Seismic Signals and Collapse Events at the Kilauea Summit Crater in 2018. 1 indexed citations
3.
Satake, Kenji, et al.. (2020). Analog Seismogram Archives at the Earthquake Research Institute, the University of Tokyo. Seismological Research Letters. 91(3). 1384–1393. 7 indexed citations
4.
Murotani, Satoko, Kenji Satake, Hiroshi Tsuruoka, et al.. (2020). A Database of Digitized and Analog Seismograms of Historical Earthquakes in Japan. Seismological Research Letters. 91(3). 1459–1468. 3 indexed citations
5.
Wang, Ting, et al.. (2018). Identifying the Recurrence Patterns of Nonvolcanic Tremors Using a 2‐D Hidden Markov Model With Extra Zeros. Journal of Geophysical Research Solid Earth. 123(8). 6802–6825. 11 indexed citations
6.
Kávási, Norbert, Sarata Kumar Sahoo, Kazumasa Inoue, et al.. (2018). Radiocesium and 40K distribution of river sediments and floodplain deposits in the Fukushima exclusion zone. Journal of Environmental Radioactivity. 195. 40–53. 11 indexed citations
7.
8.
Wang, Dun, Hitoshi Kawakatsu, Jiancang Zhuang, et al.. (2017). Automated determination of magnitude and source length of large earthquakes using backprojection andPwave amplitudes. Geophysical Research Letters. 44(11). 5447–5456. 19 indexed citations
9.
Tsuruoka, Hiroshi, et al.. (2016). Measurement of radon and thoron concentrations in the Tokyo Metropolitan University Arakawa Campus building. 19(1). 40–48. 5 indexed citations
10.
Takano, Kiyoshi, et al.. (2013). Current status and next cloud computing of the Japan seismic observation data exchange and distribution network JDXnet. IEICE Technical Report; IEICE Tech. Rep.. 113(256). 21–23. 1 indexed citations
11.
Ishibe, Takeo, Shin-ichi Sakai, Kenji Satake, et al.. (2012). Statistical analysis of seismicity rate change in the Tokyo Metropolitan area due to the 2011 Tohoku Earthquake. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
12.
Ishibe, Takeo, Kunihiko Shimazaki, Kenji Satake, & Hiroshi Tsuruoka. (2011). Change in seismicity beneath the Tokyo metropolitan area due to the 2011 off the Pacific coast of Tohoku Earthquake. Earth Planets and Space. 63(7). 731–735. 46 indexed citations
13.
Ishibe, Takeo, et al.. (2009). Correlation between the dCFF caused by large historical earthquakes and recent seismic activities. AGU Fall Meeting Abstracts. 2009. 2 indexed citations
14.
Tsuruoka, Hiroshi, Luis Rivera, Hisazo Kawakatsu, & H. Kanamori. (2009). Realtime source inversion using W-phase and GRiD MT for regional tsunami early warning. AGU Fall Meeting Abstracts. 2009. 5 indexed citations
15.
Tsuruoka, Hiroshi, et al.. (2008). CSEP Earthquake Forecast Testing Center for Japan. AGUFM. 2008. 2 indexed citations
16.
Nakata, Ryoko, et al.. (2007). Occurrence Of Deep Low-frequency Tremors Synchronized To Earth Tides. AGU Fall Meeting Abstracts. 2007. 2 indexed citations
17.
Nakata, Ryoko, et al.. (2006). Tidal Synchronicity of the Low-Frequency Tremor in Eastern Shikoku, Japan. AGU Fall Meeting Abstracts. 2006. 2 indexed citations
18.
Ogawa, Yasushi, Tetsuya Ishikawa, Toshikazu Fukushima, et al.. (1999). Construction of a Test Collection for the Evaluation of Japanese Information Retrieval Systems. 40(9). 3537–3553. 2 indexed citations
19.
Tsuruoka, Hiroshi, Hong Xu, Kazumichi Kuroda, et al.. (1997). DETECTION OF INFLUENZA VIRUS RNA IN PERIPHERAL BLOOD MONONUCLEAR CELLS OF INFLUENZA PATIENTS. Japanese Journal of Medical Science and Biology. 50(1). 27–34. 20 indexed citations
20.
Yoshikawa, Yasuhiro, Yutaka Matsubara, Hiroshi Tsuruoka, et al.. (1989). Natural infection with canine distemper virus in a Japanese monkey (Macaca fuscata). Veterinary Microbiology. 20(3). 193–205. 68 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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