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.
Tsunami source of the 2011 off the Pacific coast of Tohoku Earthquake
2011425 citationsYushiro Fujii, Kenji Satake et al.Earth Planets and Spaceprofile →
Time and Space Distribution of Coseismic Slip of the 2011 Tohoku Earthquake as Inferred from Tsunami Waveform Data
2013397 citationsKenji Satake, Yushiro Fujii et al.profile →
Slip distribution of the 2024 Noto Peninsula earthquake (MJMA 7.6) estimated from tsunami waveforms and GNSS data
202463 citationsYushiro Fujii, Kenji SatakeEarth Planets and Spaceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Yushiro Fujii'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 Yushiro Fujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yushiro Fujii more than expected).
This network shows the impact of papers produced by Yushiro Fujii. 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 Yushiro Fujii. The network helps show where Yushiro Fujii may publish in the future.
Co-authorship network of co-authors of Yushiro Fujii
This figure shows the co-authorship network connecting the top 25 collaborators of Yushiro Fujii.
A scholar is included among the top collaborators of Yushiro Fujii 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 Yushiro Fujii. Yushiro Fujii is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fujii, Yushiro & Kenji Satake. (2024). Slip distribution of the 2024 Noto Peninsula earthquake (MJMA 7.6) estimated from tsunami waveforms and GNSS data. Earth Planets and Space. 76(1).63 indexed citations breakdown →
Satake, Kenji, Yushiro Fujii, Tomoya Harada, & Yuichi Namegaya. (2012). Tsunami source model of the 2011 Tohoku earthquake and comparison with the 1896 Sanriku and 869 Jogan earthquakes. EGU General Assembly Conference Abstracts. 3542.1 indexed citations
15.
Watada, Shingo, Satoshi Kusumoto, Yushiro Fujii, & Kenji Satake. (2012). Cause of Delayed First Peak and Reversed Initial Phase of Distant Tsunami. AGUFM. 2012.2 indexed citations
16.
Watada, Shingo, Kenji Satake, & Yushiro Fujii. (2011). Origin of Traveltime anomaies of distant tsunami. AGU Fall Meeting Abstracts. 2011.1 indexed citations
17.
Satake, Kenji & Yushiro Fujii. (2010). Seismic Moment and Slip Distribution of the 1960 and 2010 Chilean Earthquakes as Inferred from Tsunami Waveforms. AGUFM. 2010.2 indexed citations
18.
Miura, Seiichi, et al.. (2008). Surface Deformation Caused By The 2004 Indian Ocean Tsunami Observed At Diego Garcia. AGU Fall Meeting Abstracts. 2008.1 indexed citations
19.
Fujii, Yushiro & Kenji Satake. (2006). Source of the July 2006 West Java Tsunami Estimated from Tide Gauge Records. AGU Fall Meeting Abstracts. 2006.2 indexed citations
20.
Fujii, Yushiro & Kenji Satake. (2005). Tsunami Source Model of the 2004 Sumatra-Andaman Earthquake inferred from Tide Gauge and Satellite Data. AGUFM. 2005.2 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.