H. Naito
Impact in
- Computational Mechanics top 10%
- Fluid Dynamics and Vibration Analysis
- Fluid Dynamics and Turbulent Flows
Papers in
-
- Semiconductor Lasers and Optical Devices 10
- Fuel Cells and Related Materials 8
- Solid State Laser Technologies 8
- Photonic and Optical Devices 6
- Co-authors
- Koji FukagataM. KumeShuichiro HiraiTakashi SasabeMasaaki YuriKatsuyuki KawamuraToshihiko YoshidaTetsuya Mizumoto
- Journals
- IEEE Journal of Quantum Electronics (5 papers)Applied Physics Letters (2 papers)Journal of Applied Physics (2 papers)Blood Cancer Journal (2 papers)IEEE Journal of Selected Topics in Quantum Electronics (2 papers)
- Partner nations
- JapanUnited StatesBulgaria
In The Last Decade
H. Naito
34 papers receiving 471 citations
Peers
Comparison fields: 5 of 54
- Computational Mechanics 139
- Genetics 52
- Electrical and Electronic Engineering 267
- Atomic and Molecular Physics, and Optics 139
- Environmental Engineering 53
Countries citing papers authored by H. Naito
This map shows the geographic impact of H. Naito'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 H. Naito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Naito more than expected).
Fields of papers citing papers by H. Naito
This network shows the impact of papers produced by H. Naito. 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 H. Naito. The network helps show where H. Naito may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Naito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2021 | 19 | |
| 3 | 2020 | 1 | |
| 4 | 2019 | 0 | |
| 5 | 2017 | 4 | |
| 6 | 2014 | 22 | |
| 7 | 2014 | 19 | |
| 8 | 2014 | 7 | |
| 9 | 2014 | 8 | |
| 10 | Efficiencies of photovoltaic cell receivers for laser power transmission under the lunar environment | 1998 | 1 |
| 11 | 1995 | 8 | |
| 12 | 1994 | 11 | |
| 13 | 1993 | 40 | |
| 14 | 1992 | 4 | |
| 15 | 1990 | 1 | |
| 16 | 1989 | 6 | |
| 17 | 1989 | 2 | |
| 18 | 1989 | 25 | |
| 19 | 1989 | 28 | |
| 20 | 1984 | 3 |
About H. Naito
H. Naito is a scholar working on Bioengineering, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computational Mechanics and Polymers and Plastics, having authored 39 papers that have together received 484 indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (10 papers), Fuel Cells and Related Materials (8 papers), Solid State Laser Technologies (8 papers), Semiconductor Quantum Structures and Devices (7 papers), Photonic and Optical Devices (6 papers), Fluid Dynamics and Vibration Analysis (6 papers), Advanced Fiber Laser Technologies (6 papers) and Lattice Boltzmann Simulation Studies (4 papers). The work is most often cited by research in Computational Mechanics (139 citations), Genetics (52 citations), Electrical and Electronic Engineering (267 citations), Atomic and Molecular Physics, and Optics (139 citations) and Environmental Engineering (53 citations). H. Naito has collaborated with scholars based in Japan, United States and Bulgaria. Frequent co-authors include Koji Fukagata, M. Kume, Shuichiro Hirai, Takashi Sasabe, Masaaki Yuri, Katsuyuki Kawamura, Toshihiko Yoshida, Tetsuya Mizumoto, O. Imafuji and T. Takayama. Their work appears in journals such as IEEE Journal of Quantum Electronics, Applied Physics Letters, Journal of Applied Physics, Blood Cancer Journal and IEEE Journal of Selected Topics in Quantum Electronics.
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.