Makoto Matsubara

1.3k citations
42 papers · 930 indexed · h-index 17
Topics
earthquake and tectonic studies (37 papers)High-pressure geophysics and materials (21 papers)Geological and Geochemical Analysis (18 papers)

In The Last Decade

Makoto Matsubara

40 papers receiving 883 citations

Peers

Makoto Matsubara
Comparison fields: 5 of 40
  • Geophysics 889
  • Artificial Intelligence 128
  • Atmospheric Science 42
  • Civil and Structural Engineering 27
  • Management, Monitoring, Policy and Law 27
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Lijun Chang China
Ryou Honda Japan
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Citations per field
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Citations per year

Countries citing papers authored by Makoto Matsubara

Since Specialization
Citations

This map shows the geographic impact of Makoto Matsubara'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 Matsubara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Matsubara more than expected).

Fields of papers citing papers by Makoto Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Makoto Matsubara. 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 Matsubara. The network helps show where Makoto Matsubara may publish in the future.

Co-authorship network of co-authors of Makoto Matsubara

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Matsubara. A scholar is included among the top collaborators of Makoto Matsubara 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 Matsubara. Makoto Matsubara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4
Seismogenic source fault models in and around the Sea of Japan
1
5 1
6 4
7 11
8
Fundamental structure model of island arcs and subducted plates in and around Japan -II
1
9 19
10
The significance of seismicity after The 2016 Kumamoto Earthquake sequence
3
11 2
12
A Broad-band rupture image of the 2011 off the Pacific coast of Tohoku earthquake
1
13 50
14 1
15 151
16 1
17
Seismic Reflection Profiling in the Kanto and Kinki Metropolitan Areas, Japan
3
18
High-Vp/V_S Zone Accompanying Non-volcanic Tremors and Slow Slip Events Beneath the Tokai Region, Central Japan.
1
19 64
20
Low-velocity Oceanic Crusts at the top of Subducting Plates Beneath Japan Islands Imaged by Tomographic Method Using the NIED Hi-net Data
2

About Makoto Matsubara

Makoto Matsubara is a scholar working on Geophysics, Geology and Artificial Intelligence, having authored 42 papers that have together received 930 indexed citations. Recurring topics across this work include earthquake and tectonic studies (37 papers), High-pressure geophysics and materials (21 papers) and Geological and Geochemical Analysis (18 papers). The work is most often cited by research in Geophysics (889 citations), Artificial Intelligence (128 citations) and Geology (20 citations). Makoto Matsubara has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kazushige Obara, Keiji Kasahara, Hiroshi Sato, Naoshi Hirata, Katsuhiko Shiomi, Yoshihiro Ito, Takaya Iwasaki, Takeshi Ikawa, Hiroki Hayashi and Tatsuya Ishiyama. Their work appears in journals such as Science, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

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.

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