Tomomichi Nakamura
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- Chaos control and synchronization 21
- Computational Mechanics top 2%
- Fluid Dynamics and Vibration Analysis 41
- Fluid Dynamics Simulations and Interactions 14
- Lattice Boltzmann Simulation Studies 10
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- Vibration and Dynamic Analysis 36
- Economics and Econometrics top 5%
- Complex Systems and Time Series Analysis 23
- Signal Processing top 10%
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- Nonlinear Dynamics and Pattern Formation 9
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- Fluid Dynamics and Mixing 8
- Co-authors
- Michael SmallXiaodong LuoJunfeng SunKai ZhangJie ZhangToshihiro TanizawaKatsuhisa FujitaKevin Judd
In The Last Decade
Tomomichi Nakamura
105 papers receiving 960 citations
Peers
Comparison fields: 5 of 113
- Statistical and Nonlinear Physics 240
- Computational Mechanics 368
- Control and Systems Engineering 238
- Economics and Econometrics 268
- Signal Processing 100
Countries citing papers authored by Tomomichi Nakamura
This map shows the geographic impact of Tomomichi Nakamura'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 Tomomichi Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomomichi Nakamura more than expected).
Fields of papers citing papers by Tomomichi Nakamura
This network shows the impact of papers produced by Tomomichi Nakamura. 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 Tomomichi Nakamura. The network helps show where Tomomichi Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomomichi Nakamura, 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 | 2025 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2019 | 1 | |
| 4 | 2018 | 13 | |
| 5 | 2016 | 23 | |
| 6 | 2015 | 9 | |
| 7 | 2014 | 1 | |
| 8 | 2006 | 31 | |
| 9 | 2006 | 9 | |
| 10 | 2005 | 37 | |
| 11 | 2005 | 6 | |
| 12 | 2002 | 20 | |
| 13 | 2000 | 7 | |
| 14 | 1999 | 5 | |
| 15 | 1999 | 19 | |
| 16 | 1999 | 4 | |
| 17 | Externally-coupled transcutaneous energy transmission system for a totally implantable artificial heart - In vitro and in vivo estimations from the viewpoint of electrical engineering | 1998 | 2 |
| 18 | 1997 | 19 | |
| 19 | STUDY ON STRUCTURAL DAMAGE OF SHIPS DUE TO COLLISION AND GROUNDING | 1994 | 1 |
| 20 | Experimental study on exciting force by two-phase cross flow | 1982 | 7 |
About Tomomichi Nakamura
Tomomichi Nakamura is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 110 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fluid Dynamics and Vibration Analysis (41 papers), Vibration and Dynamic Analysis (36 papers), Complex Systems and Time Series Analysis (23 papers), Chaos control and synchronization (21 papers), Fluid Dynamics Simulations and Interactions (14 papers), Lattice Boltzmann Simulation Studies (10 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and Fluid Dynamics and Mixing (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (240 citations), Computational Mechanics (368 citations) and Control and Systems Engineering (238 citations). Tomomichi Nakamura has collaborated with scholars based in Japan, Hong Kong and Germany. Frequent co-authors include Michael Small, Xiaodong Luo, Junfeng Sun, Kai Zhang, Jie Zhang, Toshihiro Tanizawa, Katsuhisa Fujita, Kevin Judd, Kazuo Hirota and Yoshito Hirata. Their work appears in journals such as Applied Catalysis A General, Physics Letters A and Physica D Nonlinear Phenomena.
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.