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.
Recent progress of seismic observation networks in Japan —Hi-net, F-net, K-NET and KiK-net—
2014502 citationsYoshimitsu Okada, Sadaki Hori et al.Earth Planets and Spaceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Shoji Sekiguchi
Since
Specialization
Citations
This map shows the geographic impact of Shoji Sekiguchi'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 Shoji Sekiguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoji Sekiguchi more than expected).
This network shows the impact of papers produced by Shoji Sekiguchi. 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 Shoji Sekiguchi. The network helps show where Shoji Sekiguchi may publish in the future.
Co-authorship network of co-authors of Shoji Sekiguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Shoji Sekiguchi.
A scholar is included among the top collaborators of Shoji Sekiguchi 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 Shoji Sekiguchi. Shoji Sekiguchi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Uehira, Kenji, Masashi Mochizuki, T. Kanazawa, et al.. (2018). S-net project: Construction of large-scale seismic and tsunami observation system on seafloor along the Japan Trench. EGUGA. 12000.6 indexed citations
Mochizuki, Masahito, Kenji Uehira, T. Kanazawa, et al.. (2017). S-net : Construction of large scale seafloor observatory network for tsunamis and earthquakes along the Japan Trench. AGUFM. 2017.4 indexed citations
5.
Mochizuki, Masahito, T. Kanazawa, Kenji Uehira, et al.. (2016). S-net project: Construction of large scale seafloor observatory network for tsunamis and earthquakes in Japan. AGU Fall Meeting Abstracts. 2016.16 indexed citations
6.
Uehira, Kenji, T. Kanazawa, Masashi Mochizuki, et al.. (2016). Seafloor Observation Network for Earthquakes and Tsunamis along the Japan Trench (S-net) - System of landing station part -. Japan Geoscience Union. 2016. 4.1 indexed citations
7.
Uehira, Kenji, T. Kanazawa, Masashi Mochizuki, et al.. (2016). Outline of Seafloor Observation Network for Earthquakes and Tsunamis along the Japan Trench (S-net). EGU General Assembly Conference Abstracts.16 indexed citations
8.
Uehira, Kenji, T. Kanazawa, Masashi Mochizuki, et al.. (2015). Seafloor Observation Network for Earthquakes and Tsunamis along the Japan Trench (S-net) (3). Japan Geoscience Union.1 indexed citations
9.
Uehira, Kenji, T. Kanazawa, Shin Aoi, et al.. (2012). Ocean bottom seismic and tsunami network along the Japan Trench. AGU Fall Meeting Abstracts. 2012.21 indexed citations
10.
Iio, Yoshihisa, et al.. (2007). Seismic velocity structure and hypocentral distribution in the Western Nagano prefecture by using the dense seismic network data. AGUFM. 2007.1 indexed citations
Sudo, Akihiro, et al.. (1993). Intramuscular Metastasis of Carcinoma. Clinical Orthopaedics and Related Research. 296(296). 213???217–213???217.93 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.