Hirokazu Ninomiya
- Public Health, Environmental and Occupational Health top 2%
- Applied Mathematics top 1%
- Molecular Biology
- Modeling and Simulation top 1%
- Immunology top 10%
- Co-authors
- Masaharu TaniguchiYoshihisa MoritaMasato IidaPeter J. SimsPJ SimsJinmin ZhaoScott A. RollinsMasayasu Mimura
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (24 papers)Advanced Mathematical Modeling in Engineering (23 papers)Nonlinear Dynamics and Pattern Formation (18 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Hirokazu Ninomiya
76 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Public Health, Environmental and Occupational Health 710
- Applied Mathematics 474
- Molecular Biology 267
- Modeling and Simulation 264
- Immunology 258
Countries citing papers authored by Hirokazu Ninomiya
This map shows the geographic impact of Hirokazu Ninomiya'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 Hirokazu Ninomiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hirokazu Ninomiya more than expected).
Fields of papers citing papers by Hirokazu Ninomiya
This network shows the impact of papers produced by Hirokazu Ninomiya. 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 Hirokazu Ninomiya. The network helps show where Hirokazu Ninomiya may publish in the future.
Co-authorship network of co-authors of Hirokazu Ninomiya
This figure shows the co-authorship network connecting the top 25 collaborators of Hirokazu Ninomiya. A scholar is included among the top collaborators of Hirokazu Ninomiya 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 Hirokazu Ninomiya. Hirokazu Ninomiya 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 25 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 20 | |
| 9 | MONOSTABLE-TYPE TRAVELING WAVES OF BISTABLE REACTION-DIFFUSION EQUATIONS IN THE MULTI-DIMENSIONAL SPACE | 13 |
| 10 | Traveling wave solutions of the Allen-Cahn equations(Viscosity Solution Theory of Differential Equations and its Developments) | 0 |
| 11 | Traveling curved fronts of a mean curvature flow with constant driving force | 2 |
| 12 | 95 | |
| 13 | 112 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 64 | |
| 17 | 58 | |
| 18 | 8 | |
| 19 | 14 | |
| 20 | 1 |
About Hirokazu Ninomiya
Hirokazu Ninomiya is a scholar working on Applied Mathematics, Numerical Analysis and Modeling and Simulation, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (24 papers), Advanced Mathematical Modeling in Engineering (23 papers) and Nonlinear Dynamics and Pattern Formation (18 papers). The work is most often cited by research in Modeling and Simulation (264 citations), Applied Mathematics (474 citations) and Numerical Analysis (205 citations). Hirokazu Ninomiya has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Masaharu Taniguchi, Yoshihisa Morita, Masato Iida, Peter J. Sims, PJ Sims, Jinmin Zhao, Scott A. Rollins, Masayasu Mimura, Jong‐Shenq Guo and Hiroaki Okuda. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.
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.