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.
The seismogenic zone of subduction thrust faults
1997513 citationsR. D. Hyndman, Makoto Yamano et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Makoto Yamano'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 Makoto Yamano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Yamano more than expected).
This network shows the impact of papers produced by Makoto Yamano. 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 Makoto Yamano. The network helps show where Makoto Yamano may publish in the future.
Co-authorship network of co-authors of Makoto Yamano
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Yamano.
A scholar is included among the top collaborators of Makoto Yamano 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 Makoto Yamano. Makoto Yamano is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yamano, Makoto, et al.. (2015). Hydrothermal Heat Transport within an Abruptly Formed Permeable Slot: An Application to Heat Flow Peaks Observed at the Japan Trench Offshore of Sanriku. AGU Fall Meeting Abstracts. 2015.1 indexed citations
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
Hamamoto, Hirotsugu, et al.. (2008). Heat flow distribution and thermal structure of the Nankai subduction zone off the Ki-i Peninsula. AGU Fall Meeting Abstracts. 2008.1 indexed citations
12.
Goto, Shinichi, Hirotsugu Hamamoto, Makoto Yamano, Masataka Kinoshita, & Juichiro Ashi. (2008). Long-term temperature monitoring at the biological community site on the Nankai accretionary prism off Kii Peninsula. AGUFM. 2008.3 indexed citations
Goto, Shusaku, et al.. (2007). Heat Flow Distribution At A Mud Volcano In Kumano Basin, East Of Kii Peninsula, Central Japan. AGU Fall Meeting Abstracts. 2007.1 indexed citations
Tanaka, Akiko, et al.. (2004). Geothermal gradient and heat flow data in and around Japan (I):Appraisal of heat flow from geothermal gradient data. Journal of geomagnetism and geoelectricity. 56(12). 1191–1194.
17.
Goto, Shoji, et al.. (2003). Heat flow distribution and thermal regime across the Nankai accretionary complex. AGUFM. 2003.3 indexed citations
18.
Kinoshita, Masataka, et al.. (1990). Heat Flow Measurements in the Southern and Middle Okinawa Trough on R/V Sonne in 1988. 東京大學地震研究所彙報 = Bulletin of the Earthquake Research Institute, University of Tokyo. 65(3). 571–588.14 indexed citations
19.
Yamano, Makoto, et al.. (1988). Report on DELP 1985 Cruises in the Japan Sea : Part V : Heat Flow Measurements. 東京大學地震研究所彙報 = Bulletin of the Earthquake Research Institute, University of Tokyo. 62(4). 417–432.4 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.