Daishin Ueyama
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Public Health, Environmental and Occupational Health
- Condensed Matter Physics top 10%
- Biomedical Engineering
- Co-authors
- Yasumasa NishiuraIstván LagziMasayasu MimuraHiroto ShojiChiun‐Chuan ChenTakao OhtaMichał BranickiArtur Braun
- Topics
- Nonlinear Dynamics and Pattern Formation (11 papers)Evolution and Genetic Dynamics (5 papers)Slime Mold and Myxomycetes Research (4 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsModeling and Simulation
- Partner nations
- JapanHungarySwitzerland
In The Last Decade
Daishin Ueyama
22 papers receiving 426 citations
Peers
Comparison fields: 5 of 90
- Computer Networks and Communications 215
- Statistical and Nonlinear Physics 116
- Public Health, Environmental and Occupational Health 93
- Condensed Matter Physics 76
- Biomedical Engineering 74
Countries citing papers authored by Daishin Ueyama
This map shows the geographic impact of Daishin Ueyama'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 Daishin Ueyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daishin Ueyama more than expected).
Fields of papers citing papers by Daishin Ueyama
This network shows the impact of papers produced by Daishin Ueyama. 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 Daishin Ueyama. The network helps show where Daishin Ueyama may publish in the future.
Co-authorship network of co-authors of Daishin Ueyama
This figure shows the co-authorship network connecting the top 25 collaborators of Daishin Ueyama. A scholar is included among the top collaborators of Daishin Ueyama 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 Daishin Ueyama. Daishin Ueyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 24 | |
| 6 | 1 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 31 | |
| 10 | 8 | |
| 11 | 21 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 54 | |
| 16 | 42 | |
| 17 | Quantitative study of adaptive mesh FEM with localization index of pattern | 2 |
| 18 | Self-Replication, Self-Destruction, and Spatio-Temporal Chaos in the Gray-Scott Model | 4 |
| 19 | 2 | |
| 20 | 22 |
About Daishin Ueyama
Daishin Ueyama is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Ocean Engineering, having authored 23 papers that have together received 451 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (11 papers), Evolution and Genetic Dynamics (5 papers) and Slime Mold and Myxomycetes Research (4 papers). The work is most often cited by research in Computer Networks and Communications (215 citations), Statistical and Nonlinear Physics (116 citations) and Modeling and Simulation (33 citations). Daishin Ueyama has collaborated with scholars based in Japan, Hungary and Switzerland. Frequent co-authors include Yasumasa Nishiura, István Lagzi, Masayasu Mimura, Hiroto Shoji, Chiun‐Chuan Chen, Takao Ohta, Michał Branicki, Artur Braun, Rita Tóth and Ryo Kobayashi. Their work appears in journals such as Langmuir, Chemical Physics Letters and Physical Chemistry Chemical 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.