Hiroshi Yamaguchi
- Computational Mechanics top 0.5%
- Lattice Boltzmann Simulation Studies 37
- Fluid Dynamics and Turbulent Flows 22
- Mechanical Engineering top 1%
- Refrigeration and Air Conditioning Technologies 27
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems 26
- Advanced Thermodynamic Systems and Engines 23
- Biomedical Engineering top 2%
- Characterization and Applications of Magnetic Nanoparticles 52
- Fluid Dynamics and Mixing 19
- Nanofluid Flow and Heat Transfer 18
- Co-authors
- Xin‐Rong ZhangXiaodong NiuKatsumi FujimaN. SawadaMasatoshi EnomotoYuhiro IwamotoDecai LiPeng Yu
- Journals
- SHILAP Revista de lepidopterología (1 paper)Langmuir (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
In The Last Decade
Hiroshi Yamaguchi
181 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 110
- Computational Mechanics 1.4k
- Mechanical Engineering 1.8k
- Biomedical Engineering 1.4k
- Renewable Energy, Sustainability and the Environment 475
- Statistical and Nonlinear Physics 329
Countries citing papers authored by Hiroshi Yamaguchi
This map shows the geographic impact of Hiroshi Yamaguchi'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 Hiroshi Yamaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Yamaguchi more than expected).
Fields of papers citing papers by Hiroshi Yamaguchi
This network shows the impact of papers produced by Hiroshi Yamaguchi. 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 Hiroshi Yamaguchi. The network helps show where Hiroshi Yamaguchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroshi Yamaguchi, 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 | 0 | |
| 2 | 2023 | 21 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 45 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 10 | |
| 8 | 2017 | 10 | |
| 9 | 2014 | 97 | |
| 10 | 2013 | 1 | |
| 11 | 2012 | 2 | |
| 12 | 2011 | 9 | |
| 13 | 2010 | 40 | |
| 14 | 2009 | 37 | |
| 15 | Engineering fluid mechanics | 2008 | 83 |
| 16 | 2008 | 6 | |
| 17 | 2006 | 1 | |
| 18 | 1998 | 1 | |
| 19 | Boiling Heat Transfer from Glass Beads Covered Flat Heating Surface | 1993 | 2 |
| 20 | 1988 | 7 |
About Hiroshi Yamaguchi
Hiroshi Yamaguchi is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Mechanical Engineering, having authored 193 papers that have together received 3.7k indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (52 papers), Lattice Boltzmann Simulation Studies (37 papers), Refrigeration and Air Conditioning Technologies (27 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (26 papers), Advanced Thermodynamic Systems and Engines (23 papers), Fluid Dynamics and Turbulent Flows (22 papers), Fluid Dynamics and Mixing (19 papers) and Nanofluid Flow and Heat Transfer (18 papers). The work is most often cited by research in Computational Mechanics (1.4k citations), Mechanical Engineering (1.8k citations) and Biomedical Engineering (1.4k citations). Hiroshi Yamaguchi has collaborated with scholars based in Japan, China and Türkiye. Frequent co-authors include Xin‐Rong Zhang, Xiaodong Niu, Katsumi Fujima, N. Sawada, Masatoshi Enomoto, Yuhiro Iwamoto, Decai Li, Peng Yu, Xiang Li and Lin Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Langmuir and IEEE Transactions on Geoscience and Remote Sensing.
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.