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.
Recurring and triggered slow-slip events near the trench at the Nankai Trough subduction megathrust
2017222 citationsEiichiro Araki, D. M. Saffer et al.Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of S. Toczko'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 S. Toczko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Toczko more than expected).
This network shows the impact of papers produced by S. Toczko. 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 S. Toczko. The network helps show where S. Toczko may publish in the future.
Co-authorship network of co-authors of S. Toczko
This figure shows the co-authorship network connecting the top 25 collaborators of S. Toczko.
A scholar is included among the top collaborators of S. Toczko 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 S. Toczko. S. Toczko is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kopf, Achim, D. M. Saffer, S. Toczko, et al.. (2017). .4 indexed citations
7.
Araki, Eiichiro, D. M. Saffer, Achim Kopf, et al.. (2017). Recurring and triggered slow-slip events near the trench at the Nankai Trough subduction megathrust. Science. 356(6343). 1157–1160.222 indexed citations breakdown →
8.
Kinoshita, Masataka, Eiichiro Araki, Toshinori Kimura, et al.. (2017). Reconstruction of recent 10Ma thermal structure seaward of updip limit of Nankai seismogenic zone off Kumano inferred from IODP NanTroSEIZE geothermal data and time-dependent numerical model. EGU General Assembly Conference Abstracts. 10392.1 indexed citations
Ishikawa, Tsuyoshi, Jun Matsuoka, Jim Mori, et al.. (2013). Geochemical Characteristics of Core Samples from IODP Expedition 343, Japan Trench Fast Drilling Project (JFAST). AGU Fall Meeting Abstracts. 2013.2 indexed citations
12.
Namba, Yoshiharu, N. Eguchi, S. Toczko, et al.. (2012). Development of Observatories for the Japan Trench Fast Drilling Project. AGU Fall Meeting Abstracts. 2012.1 indexed citations
13.
Mori, Jim, F. M. Chester, N. Eguchi, et al.. (2012). The Japan Trench Fast Drilling Project (JFAST): Investigating Large Slip of the 2011 Tohoku-Oki, Japan Earthquake with Seafloor Boreholes. AGU Fall Meeting Abstracts. 2012.1 indexed citations
Ito, Takashi, Wei‐Cheng Lin, P. B. Flemings, et al.. (2009). Hydraulic Fracture Measurements at Site C0009 of IODP Expedition 319, NanTroSEIZE. AGUFM. 2009.1 indexed citations
19.
Boutt, David F., Yuichi Kano, P. B. Flemings, et al.. (2009). Downhole Hydrologic Testing in the Kumano Basin and Underlying Sediments: Results from NanTroSEIZE Expedition 319. AGU Fall Meeting Abstracts. 2009.1 indexed citations
20.
Davis, Earl E., et al.. (2009). A “Mini-CORK” “smart bridge plug” for initial NanTroSEIZE borehole monitoring. AGUFM. 2009.1 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.