Gen Nakamura
- Mathematical Physics top 0.2%
- Applied Mathematics top 0.5%
- Computational Theory and Mathematics top 0.5%
- Mechanics of Materials top 2%
- Biomedical Engineering top 5%
- Topics
- Numerical methods in inverse problems (103 papers)Advanced Mathematical Modeling in Engineering (63 papers)Navier-Stokes equation solutions (54 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Computational PhysicsCommunications in Mathematical Physics
- Partner nations
- JapanChinaSouth Korea
In The Last Decade
Gen Nakamura
215 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 96
- Mathematical Physics 1.8k
- Applied Mathematics 1.0k
- Computational Theory and Mathematics 666
- Mechanics of Materials 633
- Biomedical Engineering 540
Countries citing papers authored by Gen Nakamura
This map shows the geographic impact of Gen 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 Gen Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Nakamura more than expected).
Fields of papers citing papers by Gen Nakamura
This network shows the impact of papers produced by Gen 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 Gen Nakamura. The network helps show where Gen Nakamura may publish in the future.
Co-authorship network of co-authors of Gen Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Gen Nakamura. A scholar is included among the top collaborators of Gen Nakamura 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 Gen Nakamura. Gen Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | Existence of smooth global solutions for a 1-D modified Navier-Stokes-Fourier model | 1 |
| 11 | 3 | |
| 12 | A gradient estimate for solutions to parabolic equations with discontinuous coefficients | 7 |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | RECONSTRUCTION OF SCATTERED FIELD FROM FAR-FIELD BY REGULARIZATION | 2 |
| 17 | Uniqueness of identifying the convection term | 8 |
| 18 | Nonlinear Semigroups Analytic on Sectors | 1 |
| 19 | Optimizing Control System for Grinding Process | 0 |
| 20 | Reflection of light and surface roughness on sanded surface of wood. | 5 |
About Gen Nakamura
Gen Nakamura is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics, having authored 238 papers that have together received 2.7k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (103 papers), Advanced Mathematical Modeling in Engineering (63 papers) and Navier-Stokes equation solutions (54 papers). The work is most often cited by research in Mathematical Physics (1.8k citations), Applied Mathematics (1.0k citations) and Computational Theory and Mathematics (666 citations). Gen Nakamura has collaborated with scholars based in Japan, China and South Korea. Frequent co-authors include Jishan Fan, Günther Uhlmann, Yong Zhou, Song Jiang, Fucai Li, Mourad Sini, Haibing Wang, Kazumi Tanuma, Jin Cheng and Yu Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Communications in Mathematical Physics.
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.