Jun Muto

1.3k citations
88 papers · 927 indexed · h-index 18

Jun Muto

81 papers receiving 913 citations

Peers

Jun Muto
Comparison fields: 5 of 87
  • Geophysics 706
  • Radiological and Ultrasound Technology 103
  • Ocean Engineering 70
  • Artificial Intelligence 110
  • Surfaces, Coatings and Films 23
Replace Tsutomu Sato with:
Tsutomu Sato Japan
Hidemi Tanaka Japan
Tetsuro Hirono Japan
Hiroshi Yarai Japan
S. La Delfa Italy
Elena Spagnuolo Italy
Jialiang Si China
Luca Menegon Norway
Sergio Llana‐Fúnez Spain
Giuseppe La Spina United Kingdom
Jun Muto relative to Tsutomu Sato Japan Tsutomu Sato's profile →
Citations per field
00.5×3.2×
Tsutomu Sato · 1×
Citations per year

Countries citing papers authored by Jun Muto

Since Specialization
Citations

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

Fields of papers citing papers by Jun Muto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jun Muto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Muto Line = papers co-authored together Jun Muto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20234
4 202312
5 20232
6 202211
7 20211
8 20210
9 202128
10 20192
11 201961
12
Change point in log-periodic power law time series of atmospheric radon concentration
20171
13 20176
14 201611
15 201519
16 201531
17 20131
18
A Huge Single Diamond in Almahata Sitta Coarse-Grained Ureilite
20131
19
Plastic anisotropy and LPO development in sheared and recrystallized quartz single crystals
20091
20
Electric-discharge Luminescence between Frictional Natural Quartz by Pin-on-disk Method: Possible Origin of Seismo-electromagnetic Radiation
20041

About Jun Muto

Jun Muto is a scholar working on Geophysics, Radiological and Ultrasound Technology, Ocean Engineering, Radiation and Earth-Surface Processes, having authored 88 papers that have together received 927 indexed citations. Recurring topics across this work include earthquake and tectonic studies (34 papers), High-pressure geophysics and materials (28 papers), Geological and Geochemical Analysis (22 papers), Earthquake Detection and Analysis (19 papers), Radioactivity and Radon Measurements (11 papers), Seismic Waves and Analysis (9 papers), Rock Mechanics and Modeling (8 papers) and Radioactive contamination and transfer (7 papers). The work is most often cited by research in Geophysics (706 citations), Radiological and Ultrasound Technology (103 citations), Ocean Engineering (70 citations), Artificial Intelligence (110 citations) and Surfaces, Coatings and Films (23 citations). Jun Muto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hiroyuki Nagahama, Takeshi Iinuma, Yusaku Ohta, Yumi Yasuoka, Ichiro Arakawa, Takashi Miura, Atsushi Okamoto, Greg Hirth, Bunichiro Shibazaki and Satoshi Miura. Their work appears in journals such as Geophysical Research Letters, Journal of Geophysical Research Solid Earth, Scientific Reports, Tectonophysics and Physics of The Earth and Planetary Interiors.

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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