Daisuke Fujiwara
- Mathematical Physics top 2%
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Hiroko MorimotoShin OzawaHideki OmoriMinoru MurataSatoshi YamashitaSatoshi SuzukiNagisa IshiuraHironobu Unesaki
- Topics
- Advanced Mathematical Modeling in Engineering (13 papers)Spectral Theory in Mathematical Physics (11 papers)advanced mathematical theories (11 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Daisuke Fujiwara
42 papers receiving 512 citations
Peers
Comparison fields: 5 of 53
- Mathematical Physics 373
- Applied Mathematics 327
- Computational Theory and Mathematics 157
- Control and Systems Engineering 87
- Statistical and Nonlinear Physics 79
Countries citing papers authored by Daisuke Fujiwara
This map shows the geographic impact of Daisuke Fujiwara'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 Daisuke Fujiwara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Fujiwara more than expected).
Fields of papers citing papers by Daisuke Fujiwara
This network shows the impact of papers produced by Daisuke Fujiwara. 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 Daisuke Fujiwara. The network helps show where Daisuke Fujiwara may publish in the future.
Co-authorship network of co-authors of Daisuke Fujiwara
This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Fujiwara. A scholar is included among the top collaborators of Daisuke Fujiwara 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 Daisuke Fujiwara. Daisuke Fujiwara 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 | 0 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 6 | |
| 11 | 20 | |
| 12 | An L_r-theorem of the Helmholtz decomposition of vector fields | 157 |
| 13 | A global version of Eskin's theorem : Dedicated to Professor S. Furuya, on the occasion of his 60th birthday | 2 |
| 14 | 7 | |
| 15 | Asymptotic behaviors at infinity of solutions of certain linear partial differential equations | 10 |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 9 | |
| 20 | 14 |
About Daisuke Fujiwara
Daisuke Fujiwara is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics, having authored 49 papers that have together received 600 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (13 papers), Spectral Theory in Mathematical Physics (11 papers) and advanced mathematical theories (11 papers). The work is most often cited by research in Mathematical Physics (373 citations), Applied Mathematics (327 citations) and Computational Theory and Mathematics (157 citations). Daisuke Fujiwara has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Hiroko Morimoto, Shin Ozawa, Hideki Omori, Minoru Murata, Satoshi Yamashita, Satoshi Suzuki, Nagisa Ishiura, Hironobu Unesaki, Tsutomu Yoshinaga and Seiji Shiroya. Their work appears in journals such as Sensors, Communications on Pure and Applied Mathematics and Duke Mathematical Journal.
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.