Toshiki Naito
- Applied Mathematics top 0.5%
- Control and Systems Engineering top 1%
- Numerical Analysis top 1%
- Computational Theory and Mathematics top 1%
- Modeling and Simulation top 1%
- Co-authors
- Satoru MurakamiYoshiyuki HinoNguyễn Văn MinhJong Son ShinPham Huu Anh NgocGaston M. N’GuérékataJames H. LiuT. Hara
- Topics
- Nonlinear Differential Equations Analysis (37 papers)Stability and Controllability of Differential Equations (21 papers)Advanced Mathematical Modeling in Engineering (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodCell Reports
- Partner nations
- JapanVietnamUnited States
In The Last Decade
Toshiki Naito
47 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Applied Mathematics 1.1k
- Control and Systems Engineering 918
- Numerical Analysis 556
- Computational Theory and Mathematics 412
- Modeling and Simulation 287
Countries citing papers authored by Toshiki Naito
This map shows the geographic impact of Toshiki 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 Toshiki Naito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiki Naito more than expected).
Fields of papers citing papers by Toshiki Naito
This network shows the impact of papers produced by Toshiki 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 Toshiki Naito. The network helps show where Toshiki Naito may publish in the future.
Co-authorship network of co-authors of Toshiki Naito
This figure shows the co-authorship network connecting the top 25 collaborators of Toshiki Naito. A scholar is included among the top collaborators of Toshiki Naito 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 Toshiki Naito. Toshiki Naito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 30 | |
| 10 | 37 | |
| 11 | 22 | |
| 12 | 26 | |
| 13 | 35 | |
| 14 | 43 | |
| 15 | 23 | |
| 16 | 35 | |
| 17 | 49 | |
| 18 | 25 | |
| 19 | 28 | |
| 20 | 32 |
About Toshiki Naito
Toshiki Naito is a scholar working on Numerical Analysis, Applied Mathematics and Computational Theory and Mathematics, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (37 papers), Stability and Controllability of Differential Equations (21 papers) and Advanced Mathematical Modeling in Engineering (18 papers). The work is most often cited by research in Applied Mathematics (1.1k citations), Numerical Analysis (556 citations) and Modeling and Simulation (287 citations). Toshiki Naito has collaborated with scholars based in Japan, Vietnam and United States. Frequent co-authors include Satoru Murakami, Yoshiyuki Hino, Nguyễn Văn Minh, Jong Son Shin, Pham Huu Anh Ngoc, Gaston M. N’Guérékata, James H. Liu, T. Hara, Y. Honda and Yuki Kobayashi. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Cell Reports.
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.