Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Propagation of Slow Slip Leading Up to the 2011 Mw 9.0 Tohoku-Oki Earthquake
2012577 citationsKazushige Obara, Hiroshi Tsuruoka et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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
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.
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
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
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.