Shogo Komori

550 total citations
29 papers, 381 citations indexed

About

Shogo Komori is a scholar working on Ocean Engineering, Computational Mechanics and Geophysics. According to data from OpenAlex, Shogo Komori has authored 29 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ocean Engineering, 9 papers in Computational Mechanics and 9 papers in Geophysics. Recurrent topics in Shogo Komori's work include Geophysical and Geoelectrical Methods (8 papers), Seismic Waves and Analysis (7 papers) and Fluid Dynamics and Turbulent Flows (5 papers). Shogo Komori is often cited by papers focused on Geophysical and Geoelectrical Methods (8 papers), Seismic Waves and Analysis (7 papers) and Fluid Dynamics and Turbulent Flows (5 papers). Shogo Komori collaborates with scholars based in Japan, United States and Taiwan. Shogo Komori's co-authors include Y. Suzuki, Dongliang Zhao, Yoshiki Toba, Ryoichi Kurose, Ryuta Misumi, Tsuneomi Kagiyama, Shinichi Takakura, Mamoru Mimura, Naoya Suzuki and Naohisa Takagaki and has published in prestigious journals such as Physical Review Letters, Geophysics and Combustion and Flame.

In The Last Decade

Shogo Komori

26 papers receiving 365 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shogo Komori Japan 13 131 113 98 98 69 29 381
Masatoshi YUHI Japan 13 49 0.4× 37 0.3× 70 0.7× 119 1.2× 58 0.8× 68 432
Yves Le Gonidec France 13 186 1.4× 81 0.7× 75 0.8× 16 0.2× 59 0.9× 29 370
Johannes Spinneken United Kingdom 11 123 0.9× 152 1.3× 172 1.8× 299 3.1× 87 1.3× 24 685
Giampiero Sciortino Italy 14 68 0.5× 196 1.7× 81 0.8× 262 2.7× 157 2.3× 31 677
B. Brumley United States 10 20 0.2× 332 2.9× 141 1.4× 90 0.9× 61 0.9× 17 504
Frederic Raichlen United States 11 139 1.1× 141 1.2× 89 0.9× 282 2.9× 135 2.0× 25 635
P. Vincent United States 9 182 1.4× 37 0.3× 74 0.8× 11 0.1× 64 0.9× 29 345
A. M. Leitch Canada 12 429 3.3× 25 0.2× 32 0.3× 75 0.8× 67 1.0× 20 577
Julia C. Muccino United States 9 15 0.1× 170 1.5× 32 0.3× 34 0.3× 191 2.8× 13 322
Li-San Hwang United States 10 84 0.6× 117 1.0× 57 0.6× 54 0.6× 59 0.9× 23 400

Countries citing papers authored by Shogo Komori

Since Specialization
Citations

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

Fields of papers citing papers by Shogo Komori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shogo Komori

This figure shows the co-authorship network connecting the top 25 collaborators of Shogo Komori. A scholar is included among the top collaborators of Shogo Komori 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 Shogo Komori. Shogo Komori 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
1.
Miyakawa, Ayumu, Masahiko Makino, Shogo Komori, et al.. (2025). Drone magnetic surveys for active volcanoes: a case study of Izu-Oshima volcano, Japan. Exploration Geophysics. 56(5). 56–70.
2.
Komori, Shogo, Shinichi Takakura, Yuji Mitsuhata, et al.. (2023). Three-dimensional resistivity structure in Toya caldera region, Southwest Hokkaido, Japan — Constraints on magmatic and geothermal activities. Geophysics. 89(1). B31–B50. 4 indexed citations
4.
Yoshimura, Ryokei, Yasuo Ogawa, Yohei Yukutake, et al.. (2018). Resistivity characterisation of Hakone volcano, Central Japan, by three-dimensional magnetotelluric inversion. Earth Planets and Space. 70(1). 38 indexed citations
6.
Masaki, Yuka, Shogo Komori, Masafumi Saitoh, et al.. (2017). Results of physical property measurements obtained during the CHIKYU cruise CK16-05 of hydrothermal fields at the middle Okinawa Trough.. Japan Geoscience Union. 1 indexed citations
7.
Takagaki, Naohisa, Shogo Komori, & Naoya Suzuki. (2016). Estimation of friction velocity from the wind-wave spectrum at extremely high wind speeds. IOP Conference Series Earth and Environmental Science. 35. 12009–12009. 15 indexed citations
8.
Kitano, Tomoaki, et al.. (2014). Effect of Ambient Pressure on Soot Formation in Oxy-Fuel Spray Jet Flame. Proceedings of the 15th International Heat Transfer Conference. 1 indexed citations
9.
Komori, Shogo, Tsuneomi Kagiyama, & Jerry P. Fairley. (2014). Possibility of effective magma degassing into groundwater flow systems beneath Unzen volcanic area, SW Japan, inferred from the evaluation of volcanic gas fluxes using electrical conductivity structures. Journal of Volcanology and Geothermal Research. 283. 73–81. 2 indexed citations
10.
Komori, Shogo, Mitsuru Utsugi, Tsuneomi Kagiyama, et al.. (2014). Hydrothermal system in the Tatun Volcano Group, northern Taiwan, inferred from crustal resistivity structure by audio-magnetotellurics. Progress in Earth and Planetary Science. 1(1). 13 indexed citations
11.
Ohsawa, Shinji, Hsiao-Fen Lee, Biqing Liang, et al.. (2013). Geochemical Characteristics and Origins of Acid Hot Spring Waters in Tatun Volcanic Group, Taiwan. 62(4). 282–293. 6 indexed citations
12.
Matsuda, Keigo, Ryo Onishi, Ryoichi Kurose, & Shogo Komori. (2012). Turbulence Effect on Cloud Radiation. Physical Review Letters. 108(22). 224502–224502. 18 indexed citations
13.
Watanabe, Hiroaki, Kenji Tanno, Yuya Baba, Ryoichi Kurose, & Shogo Komori. (2009). Large-eddy simulation of coal combustion in a pulverized coal combustion furnace with a complex burner. YN–27. 22 indexed citations
14.
Zhao, Dongliang, Yoshiki Toba, Y. Suzuki, & Shogo Komori. (2003). Effect of wind waves on air&#x2013;sea gas exchange: proposal of an overall CO<sub>2</sub> transfer velocity formula as a function of breaking-wave parameter. Tellus B. 55(2). 478–478. 46 indexed citations
15.
Kurose, Ryoichi, Hisao Makino, Takenobu Michioka, & Shogo Komori. (2001). Large eddy simulation of a non-premixed turbulent reacting mixing layer: Effects of heat release and spanwise fluid shear. Combustion and Flame. 127(3). 2157–2163. 13 indexed citations
16.
Komori, Shogo, et al.. (1999). Application of a second-moment closure model to simulate the turbulent dispersion from an elevated line source. Heat and Mass Transfer. 34(5). 429–436. 6 indexed citations
17.
Komori, Shogo, et al.. (1998). Simulation of the subsonic flow in a high-speed centrifugal compressor impeller by the pressure-based method. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 212(4). 269–287. 4 indexed citations
18.
Komori, Shogo, et al.. (1996). Design and Performance Prediction of Centrifugal Impellers. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 210(6). 463–476. 2 indexed citations
19.
Komori, Shogo & Yasuhiro Murakámi. (1989). Effect of highly viscous recirculating flow on particle concentration in a two-roll mill. Powder Technology. 57(2). 119–126.
20.
Mizushina, Tokurō, Fumimaru Ogino, Hiromasa Ueda, & Shogo Komori. (1979). Application of laser Doppler velocimetry to turbulence measurement in non-isothermal flow. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 366(1724). 63–79. 11 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.

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