Kaoru Iwamoto

1.7k total citations · 1 hit paper
75 papers, 1.3k citations indexed

About

Kaoru Iwamoto is a scholar working on Computational Mechanics, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Kaoru Iwamoto has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computational Mechanics, 46 papers in Mechanical Engineering and 15 papers in Aerospace Engineering. Recurrent topics in Kaoru Iwamoto's work include Fluid Dynamics and Turbulent Flows (49 papers), Heat Transfer Mechanisms (34 papers) and Fluid Dynamics and Vibration Analysis (11 papers). Kaoru Iwamoto is often cited by papers focused on Fluid Dynamics and Turbulent Flows (49 papers), Heat Transfer Mechanisms (34 papers) and Fluid Dynamics and Vibration Analysis (11 papers). Kaoru Iwamoto collaborates with scholars based in Japan, China and Germany. Kaoru Iwamoto's co-authors include Nobuhide Kasagi, Koji Fukagata, Yuji Suzuki, Akira Murata, Hiroshi Kawamura, Yosuke Hasegawa, Yasuo Kawaguchi, Tetsuya Senda, Masaaki Motozawa and Takaaki Shimura and has published in prestigious journals such as Annual Review of Fluid Mechanics, International Journal of Heat and Mass Transfer and Physics of Fluids.

In The Last Decade

Kaoru Iwamoto

70 papers receiving 1.3k citations

Hit Papers

Contribution of Reynolds stress distribution to the skin ... 2002 2026 2010 2018 2002 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaoru Iwamoto Japan 16 1.2k 593 299 203 175 75 1.3k
Rayhaneh Akhavan United States 11 842 0.7× 263 0.4× 219 0.7× 182 0.9× 111 0.6× 20 1.0k
Yuichi Matsuo Japan 11 887 0.8× 366 0.6× 216 0.7× 255 1.3× 50 0.3× 42 945
C. C. Landreth United States 9 793 0.7× 218 0.4× 279 0.9× 158 0.8× 213 1.2× 11 952
Yosuke Hasegawa Japan 19 773 0.7× 354 0.6× 185 0.6× 135 0.7× 22 0.1× 63 969
Georgi Kalitzin United States 12 792 0.7× 158 0.3× 392 1.3× 246 1.2× 40 0.2× 30 944
T. F. Fric United States 9 1.1k 0.9× 395 0.7× 818 2.7× 102 0.5× 171 1.0× 15 1.2k
С. В. Алексеенко Russia 23 1.4k 1.2× 511 0.9× 270 0.9× 79 0.4× 159 0.9× 71 1.6k
Alessandro Talamelli Italy 22 1.1k 0.9× 259 0.4× 565 1.9× 347 1.7× 17 0.1× 68 1.3k
Lipeng Lu China 25 1.4k 1.2× 497 0.8× 1.0k 3.5× 159 0.8× 76 0.4× 82 1.6k
Jens H. M. Fransson Sweden 18 1.2k 1.0× 240 0.4× 639 2.1× 396 2.0× 24 0.1× 53 1.3k

Countries citing papers authored by Kaoru Iwamoto

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Iwamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaoru Iwamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Iwamoto. A scholar is included among the top collaborators of Kaoru Iwamoto 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 Kaoru Iwamoto. Kaoru Iwamoto 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
3.
Murata, Akira, et al.. (2022). Multi-objective optimization of multi-stage heat sink of electric aircraft using three-dimensional thermal network analysis. Journal of Thermal Science and Technology. 17(1). 21–421. 4 indexed citations
4.
Yamamoto, Shohei, et al.. (2021). Pulsating Film-Cooling Flow Over Smooth Cutback Surface at Airfoil Trailing Edge Measured by 2D3C-PTV. Journal of Heat Transfer. 143(9). 3 indexed citations
6.
Iwamoto, Kaoru, et al.. (2017). Influence of length of polymer aggregation on turbulent friction drag reduction effect. Journal of Fluid Science and Technology. 12(2). JFST0013–JFST0013. 1 indexed citations
7.
Mamori, Hiroya, et al.. (2016). Analysis of vortical structure over sinusoidal riblet surface in turbulent channel flow by means of Dual-plane stereoscopic PIV measurement. Bulletin of the American Physical Society. 1 indexed citations
8.
Mamori, Hiroya, et al.. (2015). 0605 Visualization of Fluorescently-Labeled Polymer inducing Friction-Drag Reduction Effect in Wall Turbulence. Ryuutai Kougaku Bumon Kouenkai kouen rombunshuu. 2015(0). _0605–1_. 1 indexed citations
9.
Tsukahara, Takahiro, et al.. (2014). Visualization Study and Determination of Measurable Range of an Ultrasonic Vortex Flowmeter for Gas-liquid Two-phase Flow. Transactions of the Society of Instrument and Control Engineers. 50(10). 703–711. 1 indexed citations
10.
Iwamoto, Kaoru, et al.. (2014). Denoising Signal Processing and Diameter Effect on Ultrasonic-vortex-flowmeter Measurement of a Bubble-laden Flow. Transactions of the Society of Instrument and Control Engineers. 50(5). 404–410. 1 indexed citations
11.
Motozawa, Masaaki, Takahiro Ito, Kaoru Iwamoto, et al.. (2013). Experimental investigations on frictional resistance and velocity distribution of rough wall with regularly distributed triangular ribs. International Journal of Heat and Fluid Flow. 41. 112–121. 6 indexed citations
12.
Motozawa, Masaaki, et al.. (2011). Experimental Investigation on Turbulent Structure of Drag Reducing Channel Flow with Blowing Polymer Solution from the Wall. Flow Turbulence and Combustion. 88(1-2). 121–141. 27 indexed citations
13.
Motozawa, Masaaki, et al.. (2011). Structure of Low-Speed Streaks in Drag Reducing Flow With Polymer Solution Blown From the Channel Wall. ASME/JSME 2011 8th Thermal Engineering Joint Conference. 2 indexed citations
15.
Kasagi, Nobuhide, Yosuke Hasegawa, Koji Fukagata, & Kaoru Iwamoto. (2010). Control of Turbulent Transport: Less Friction and More Heat Transfer. 309–324. 8 indexed citations
16.
Tsukahara, Takahiro, Kaoru Iwamoto, & Hiroshi Kawamura. (2008). On the Large-Scale Structure of Turbulent Heat Transfer in a Plane Couette Flow. Nihon dennetsu gakkai ronbunshu/Thermal science and engineering. 15(3). 151–162. 3 indexed citations
17.
Seki, Yohji, et al.. (2007). DNS of heat transfer in turbulent and transitional channel flow obstructed by rectangular prisms. International Journal of Heat and Fluid Flow. 28(6). 1291–1301. 10 indexed citations
18.
Seki, Yohji, Kaoru Iwamoto, & Hiroshi Kawamura. (2006). Prandtl Number Effect on Turbulence Statistics through High Spatial Resolution DNS of Turbulent Heat Transfer in a Channel Flow. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B. 72(724). 2856–2861. 4 indexed citations
19.
Iwamoto, Kaoru, et al.. (2006). Direct Numerical Simulation of the Neutrally Stratified Turbulent Ekman Boundary Layer. 6. 3–15. 18 indexed citations
20.
Iwamoto, Kaoru, Yuji Suzuki, & Nobuhide Kasagi. (2002). Reynolds number effect on wall turbulence: toward effective feedback control. International Journal of Heat and Fluid Flow. 23(5). 678–689. 221 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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