Nao NINOMIYA

915 total citations · 1 hit paper
26 papers, 824 citations indexed

About

Nao NINOMIYA is a scholar working on Computational Mechanics, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nao NINOMIYA has authored 26 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 7 papers in Mechanical Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nao NINOMIYA's work include Fluid Dynamics and Turbulent Flows (8 papers), Heat Transfer Mechanisms (7 papers) and Flow Measurement and Analysis (5 papers). Nao NINOMIYA is often cited by papers focused on Fluid Dynamics and Turbulent Flows (8 papers), Heat Transfer Mechanisms (7 papers) and Flow Measurement and Analysis (5 papers). Nao NINOMIYA collaborates with scholars based in Japan, South Korea and Belarus. Nao NINOMIYA's co-authors include Mitsuhiko Ota, Masahiro Ota, Kengo Yasuda, Nobuhide Kasagi, Kazuya Iwamoto, Hitoshi Sugiyama, Masaki Yasugi, Masaru Hirata, Hirotsugu Yamamoto and Byung Chul Choi and has published in prestigious journals such as Optics Express, Measurement Science and Technology and Journal of Mechanical Science and Technology.

In The Last Decade

Nao NINOMIYA

22 papers receiving 816 citations

Hit Papers

The 10th anniversary of j... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nao NINOMIYA Japan 6 585 149 118 91 91 26 824
A. Mizuno Japan 4 691 1.2× 168 1.1× 189 1.6× 123 1.4× 78 0.9× 6 946
Susan F. te Pas Netherlands 17 566 1.0× 159 1.1× 113 1.0× 197 2.2× 48 0.5× 53 881
Yuri Ostrovsky United States 10 477 0.8× 172 1.2× 486 4.1× 66 0.7× 39 0.4× 18 1.0k
Louis D. Silverstein United States 16 423 0.7× 142 1.0× 122 1.0× 137 1.5× 19 0.2× 53 843
Katja Doerschner Türkiye 17 725 1.2× 149 1.0× 151 1.3× 336 3.7× 36 0.4× 62 940
Hermann L. F. Helmholtz Italy 10 553 0.9× 156 1.0× 100 0.8× 99 1.1× 22 0.2× 17 922
Jeffrey A. Saunders Hong Kong 15 1.3k 2.3× 241 1.6× 162 1.4× 335 3.7× 94 1.0× 48 1.6k
Isamu Motoyoshi Japan 16 931 1.6× 202 1.4× 295 2.5× 322 3.5× 34 0.4× 71 1.3k
Ingo Rentschler Germany 22 1.3k 2.3× 212 1.4× 225 1.9× 179 2.0× 243 2.7× 73 1.6k
Martin Jüttner Germany 11 660 1.1× 145 1.0× 245 2.1× 131 1.4× 50 0.5× 31 954

Countries citing papers authored by Nao NINOMIYA

Since Specialization
Citations

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

Fields of papers citing papers by Nao NINOMIYA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nao NINOMIYA

This figure shows the co-authorship network connecting the top 25 collaborators of Nao NINOMIYA. A scholar is included among the top collaborators of Nao NINOMIYA 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 Nao NINOMIYA. Nao NINOMIYA 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.
2.
Yasugi, Masaki, et al.. (2022). Evaluation of Response Time of AIRR with Immersive Aerial Interface by 3D Motion Capture. Proceedings of the International Display Workshops. 792–792. 1 indexed citations
3.
Yasugi, Masaki, et al.. (2022). Improvement of the distortion of aerial displays and proposal for utilizing distortion to emulate three-dimensional aerial image. Optical Review. 29(3). 261–266. 2 indexed citations
4.
Yasugi, Masaki, et al.. (2022). Development of Aerial Interface by Integrating Omnidirectional Aerial Display, Motion Tracking, and Virtual Reality Space Construction. Journal of Robotics and Mechatronics. 34(5). 1175–1183. 6 indexed citations
5.
Doh, Deog-Hee, et al.. (2019). A swirl static mixer with diluent for reducing the flammable extent of venting gases in a low-flashpoint fueled vessel. Journal of Mechanical Science and Technology. 33(7). 3311–3321. 3 indexed citations
6.
NINOMIYA, Nao, et al.. (2014). Direct measurement of longitudinal velocity by Doppler phase-shifting holography. Journal of Visualization. 18(3). 409–412. 1 indexed citations
7.
NINOMIYA, Nao, et al.. (2009). Measurement about the interaction between two falling droplets. Journal of Physics Conference Series. 147. 12051–12051. 1 indexed citations
8.
Ota, Mitsuhiko & Nao NINOMIYA. (2007). The 10th anniversary of journal of visualization. Journal of Visualization. 10(1). 1–1. 702 indexed citations breakdown →
9.
Ishihara, Ken, et al.. (2004). Visualization of Flow between Blade of a Sirocco Fan by Spark Tracing Method. Journal of the Visualization Society of Japan. 24(Supplement1). 73–76. 1 indexed citations
11.
Zhang, Lei, Manato Akiyama, Kai Huang, Hiromu Sugiyama, & Nao NINOMIYA. (2002). Estimation of flow patterns by applying artificial neural networks. 2. 1358–1363. 4 indexed citations
12.
Zhang, Lei, et al.. (1997). Application of Structured Artificial Neural Networks to Computational Fluid Fynamical Problems. Journal of Japan Society for Fuzzy Theory and Systems. 9(5). 728–736. 2 indexed citations
13.
NINOMIYA, Nao, et al.. (1995). 3-D PTV Velocity Measurement Applied to the Flow in a Complex Flow Geometry.. Journal of the Visualization Society of Japan. 15(59). 279–284. 2 indexed citations
14.
NINOMIYA, Nao, et al.. (1994). 3-D PTV Velocity Measurement applied to the Flow in a Complex Flow Geometry. Journal of the Visualization Society of Japan. 14(Supplement1). 17–20. 4 indexed citations
15.
Sugiyama, Hitoshi, et al.. (1993). Numerical Analysis of Fully Developed Turbulent Flow in a Square Duct with Two Roughened Facing Walls.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B. 59(561). 1502–1509. 1 indexed citations
16.
NINOMIYA, Nao & Nobuhide Kasagi. (1993). Turbulence Statistics in the Self-Preserving Region of an Axisymmetric Free Jet.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B. 59(561). 1532–1538. 6 indexed citations
17.
NINOMIYA, Nao. (1993). Measurement of the Reynolds stress budgets in an axisymmetric free jet with the aid of three-dimensional particle tracking velocimetry. Medical Entomology and Zoology. 5 indexed citations
18.
Sugiyama, Hitoshi, et al.. (1993). Numerical Analysis on Fully Developed Turbulent Flow in a Square Duct with a Rough Wall.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B. 59(561). 1510–1517. 3 indexed citations
19.
NINOMIYA, Nao, et al.. (1988). Three-dimensional turbulence measurement in an axisymmetric free jet by digital image processing.. 8(30). 283–288. 1 indexed citations
20.
Kasagi, Nobuhide, et al.. (1987). Three-dimensional velocity measurement via digital image processing technique.. 7(26). 283–288. 3 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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