Kazunori Mitsuo

568 total citations
42 papers, 447 citations indexed

About

Kazunori Mitsuo is a scholar working on Bioengineering, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Kazunori Mitsuo has authored 42 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Bioengineering, 17 papers in Electrical and Electronic Engineering and 13 papers in Materials Chemistry. Recurrent topics in Kazunori Mitsuo's work include Analytical Chemistry and Sensors (26 papers), Gas Sensing Nanomaterials and Sensors (9 papers) and Water Quality Monitoring and Analysis (7 papers). Kazunori Mitsuo is often cited by papers focused on Analytical Chemistry and Sensors (26 papers), Gas Sensing Nanomaterials and Sensors (9 papers) and Water Quality Monitoring and Analysis (7 papers). Kazunori Mitsuo collaborates with scholars based in Japan, Netherlands and Germany. Kazunori Mitsuo's co-authors include Keisuke Asai, Shigeya Watanabe, Kazuyuki Nakakita, Makoto Obata, Hiroshi Mizushima, Shiho Hirohara, Hiroyuki Kato, Shigenobu Yano, Yuji Wada and Akira Takahashi and has published in prestigious journals such as Electrochimica Acta, AIAA Journal and Journal of Alloys and Compounds.

In The Last Decade

Kazunori Mitsuo

40 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazunori Mitsuo Japan 14 242 152 137 106 82 42 447
Chu Zhu United States 8 72 0.3× 234 1.5× 79 0.6× 124 1.2× 22 0.3× 13 491
Julian Haas Germany 13 74 0.3× 233 1.5× 76 0.6× 197 1.9× 6 0.1× 28 627
Scott D. Schwab United States 8 37 0.2× 99 0.7× 47 0.3× 129 1.2× 27 0.3× 11 389
L. M. Bali India 10 43 0.2× 162 1.1× 82 0.6× 110 1.0× 39 0.5× 30 338
J. Hildenbrand Germany 10 71 0.3× 239 1.6× 169 1.2× 129 1.2× 6 0.1× 21 442
Robert A. Lieberman United States 12 185 0.8× 583 3.8× 69 0.5× 123 1.2× 18 0.2× 60 774
B. Carré France 13 31 0.1× 276 1.8× 74 0.5× 65 0.6× 17 0.2× 15 690
Jer‐Ru Maa Taiwan 16 24 0.1× 130 0.9× 100 0.7× 248 2.3× 268 3.3× 45 660
Torsten Wieduwilt Germany 16 47 0.2× 428 2.8× 68 0.5× 228 2.2× 9 0.1× 47 655
Jaroslav Boušek Netherlands 6 165 0.7× 345 2.3× 91 0.7× 198 1.9× 10 0.1× 6 476

Countries citing papers authored by Kazunori Mitsuo

Since Specialization
Citations

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

Fields of papers citing papers by Kazunori Mitsuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazunori Mitsuo

This figure shows the co-authorship network connecting the top 25 collaborators of Kazunori Mitsuo. A scholar is included among the top collaborators of Kazunori Mitsuo 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 Kazunori Mitsuo. Kazunori Mitsuo 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.
Egami, Yasuhiro, Satoshi Someya, Yu Matsuda, Kazunori Mitsuo, & Daiju Numata. (2017). Various Pressure-and Temperature-Sensitive Substances and Their Characteristics. Journal of the Visualization Society of Japan. 37(147). 11–16. 3 indexed citations
2.
Hirohara, Shiho, et al.. (2016). 5,10,15,20‐テトラキス(ペンタフルオロフェニル)ポルフィナト白金(II)及びポリ(1,1,13,3,3‐ヘキサフルオロイソプロピル‐co‐メタクリル酸tert‐ブチル)から成る感圧ペイントの性能に対するポリママトリックスの影響. Journal of Applied Polymer Science. 133(16). 43316. 2 indexed citations
3.
Matsuyama, Shingo, et al.. (2014). Prediction of Supersonic Aerodynamics for a Mars Entry Capsule Using Large Eddy Simulation. 32nd AIAA Applied Aerodynamics Conference. 1 indexed citations
4.
Fujii, Keisuke, Kazunori Mitsuo, Hideyuki Tanno, et al.. (2013). Estimation of Aero- and Aerothermo-Dynamic Characteristics for HTV-R. 27(2). 1 indexed citations
5.
Obata, Makoto, et al.. (2013). Radical polymerization of trifluoromethyl-substituted methyl methacrylates and their application for use in pressure-sensitive paint. Journal of Polymer Science Part A Polymer Chemistry. 52(7). 963–972. 14 indexed citations
6.
Mochizuki, Dai, et al.. (2013). A Photostable Bi-Luminophore Pressure-Sensitive Paint Measurement System Developed with Mesoporous Silica Nanoparticles. Journal of Nanoscience and Nanotechnology. 13(4). 2777–2781. 7 indexed citations
7.
Mitsuo, Kazunori, et al.. (2010). Multi-Camera Pressure-Sensitive Paint Measurement. 4 indexed citations
8.
Mitsuo, Kazunori, et al.. (2007). Development of Bi-Luminophore Pressure-Sensitive Paint Systems. 1–9. 7 indexed citations
9.
Mitsuo, Kazunori, et al.. (2007). Research and Development of Bi-luminophore PSP Measurement Systems. Journal of the Visualization Society of Japan. 27(Supplement1). 29–32. 1 indexed citations
10.
Mitsuo, Kazunori, et al.. (2006). Data Processing of Pressure-Sensitive Paint in JAXA Industrial Wind Tunnel. Journal of the Visualization Society of Japan. 26(Supplement1). 211–214. 2 indexed citations
11.
Kojima, Toshiyuki, Hiroki Nagai, Keisuke Asai, et al.. (2006). Application of Lifetime PSP Imaging Method to a Cryogenic Wind Tunnel. 44th AIAA Aerospace Sciences Meeting and Exhibit. 2 indexed citations
12.
Ito, Takeshi, Yuzuru Yokokawa, Hiroki Ura, et al.. (2006). High-Lift Device Testing in JAXA 6.5M X 5.5M Low-Speed Wind Tunnel. 45 indexed citations
13.
Mitsuo, Kazunori, et al.. (2006). Three-Gate Lifetime Imaging System for Pressure-Sensitive Paint Measurements. AIAA Journal. 44(3). 600–607. 4 indexed citations
14.
Kojima, Toshiyuki, Hiroki Nagai, Keisuke Asai, et al.. (2005). Application of Lifetime PSP Imaging Method to a Cryogenic Wind Tunnel. Journal of the Visualization Society of Japan. 25(Supplement1). 339–342. 1 indexed citations
15.
Obata, Makoto, Naoko Araki, Shiho Hirohara, et al.. (2005). Synthesis of poly(isobutyl‐co‐2,2,2‐trifluoroethyl methacrylate) with 5,10,15,20‐tetraphenylporphinato platinum(II) moiety as an oxygen‐sensing dye for pressure‐sensitive paint. Journal of Polymer Science Part A Polymer Chemistry. 43(14). 2997–3006. 28 indexed citations
16.
Nakakita, Kazuyuki, et al.. (2004). Data Processing of Pressure-Sensitive Paint for Industrial Wind Tunnel Testing. 7 indexed citations
17.
Tahara, Hirokazu, et al.. (2002). Feature of Exhaust Plasma Flows for a Quasi-Steady MPD Thruster.. JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES. 50(582). 286–292. 3 indexed citations
18.
Mitsuo, Kazunori, et al.. (2000). Cathode Jet Structure in Quasi-Steady MPD Thrusters.. JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES. 48(555). 95–102. 2 indexed citations
19.
Mitsuo, Kazunori, et al.. (2000). Dependence of Plasma Velocity Exhausted from Quasi-Steady MPD Thrusters on Discharge Chamber Configurations.. JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES. 48(556). 129–134. 1 indexed citations
20.
Mitsuo, Kazunori, et al.. (1998). Plasma Acceleration Processes in a Quasi-Steady MPD Channel.. The Journal of the Japan Society of Aeronautical Engineering. 46(531). 215–223. 1 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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