Hideki Murakawa
- Modeling and Simulation top 2%
- Public Health, Environmental and Occupational Health
- Computational Theory and Mathematics top 10%
- Cell Biology
- Molecular Biology
- Co-authors
- Hideru TogashiHirokazu NinomiyaJosé A. CarrilloMakoto SatoKen‐ichiro KuboKazunori NakajimaKanehiro HayashiMariko Noda
- Topics
- Advanced Mathematical Modeling in Engineering (13 papers)Differential Equations and Numerical Methods (10 papers)Mathematical and Theoretical Epidemiology and Ecology Models (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceJournal of Theoretical Biology
- Partner nations
- JapanUnited KingdomFrance
In The Last Decade
Hideki Murakawa
24 papers receiving 263 citations
Peers
Comparison fields: 5 of 62
- Modeling and Simulation 105
- Public Health, Environmental and Occupational Health 85
- Computational Theory and Mathematics 66
- Cell Biology 56
- Molecular Biology 55
Countries citing papers authored by Hideki Murakawa
This map shows the geographic impact of Hideki Murakawa'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 Hideki Murakawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Murakawa more than expected).
Fields of papers citing papers by Hideki Murakawa
This network shows the impact of papers produced by Hideki Murakawa. 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 Hideki Murakawa. The network helps show where Hideki Murakawa may publish in the future.
Co-authorship network of co-authors of Hideki Murakawa
This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Murakawa. A scholar is included among the top collaborators of Hideki Murakawa 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 Hideki Murakawa. Hideki Murakawa 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 | 2 | |
| 4 | 46 | |
| 5 | 22 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 43 | |
| 10 | 12 | |
| 11 | 47 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 20 | |
| 16 | 7 | |
| 17 | A solution of nonlinear diffusion problems by semilinear reaction-diffusion systems | 1 |
| 18 | 4 | |
| 19 | Visualization of a self-vibration heat pipe by neutron radiography | 1 |
| 20 | 1 |
About Hideki Murakawa
Hideki Murakawa is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics, having authored 28 papers that have together received 285 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (13 papers), Differential Equations and Numerical Methods (10 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (10 papers). The work is most often cited by research in Modeling and Simulation (105 citations), Numerical Analysis (48 citations) and Developmental Neuroscience (22 citations). Hideki Murakawa has collaborated with scholars based in Japan, United Kingdom and France. Frequent co-authors include Hideru Togashi, Hirokazu Ninomiya, José A. Carrillo, Makoto Sato, Ken‐ichiro Kubo, Kazunori Nakajima, Kanehiro Hayashi, Mariko Noda, Takashi Miura and Takaki Miyata. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of Theoretical Biology.
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.