Mikio Sakai
- Computational Mechanics top 0.1%
- Mechanical Engineering top 2%
- Ocean Engineering top 0.5%
- Civil and Structural Engineering top 5%
- Management, Monitoring, Policy and Law top 2%
- Co-authors
- Seiichi KoshizukaXiaosong SunYusuke ShigetoYuki MoriYoshinori YamadaKazuya TakabatakeGuangtao DuanChristopher C. Pain
- Topics
- Granular flow and fluidized beds (75 papers)Fluid Dynamics Simulations and Interactions (55 papers)Fluid Dynamics and Heat Transfer (30 papers)
- Journals
- Journal of Computational PhysicsChemical Engineering JournalInternational Journal of Heat and Mass Transfer
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Mikio Sakai
109 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Computational Mechanics 3.2k
- Mechanical Engineering 1.1k
- Ocean Engineering 860
- Civil and Structural Engineering 400
- Management, Monitoring, Policy and Law 330
Countries citing papers authored by Mikio Sakai
This map shows the geographic impact of Mikio Sakai'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 Mikio Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikio Sakai more than expected).
Fields of papers citing papers by Mikio Sakai
This network shows the impact of papers produced by Mikio Sakai. 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 Mikio Sakai. The network helps show where Mikio Sakai may publish in the future.
Co-authorship network of co-authors of Mikio Sakai
This figure shows the co-authorship network connecting the top 25 collaborators of Mikio Sakai. A scholar is included among the top collaborators of Mikio Sakai 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 Mikio Sakai. Mikio Sakai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | A Multiphase MPS Method for Solid-liquid Flow and Phase Change with Application to Severe Accident Analysis of Nuclear Reactor | 2 |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 75 | |
| 6 | 6 | |
| 7 | Numerical Analysis of Acceleration of a Free-fall Lifeboat Using the MPS Method | 8 |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 18 | |
| 16 | 7 | |
| 17 | 11 | |
| 18 | 11 | |
| 19 | 5 | |
| 20 | 15 |
About Mikio Sakai
Mikio Sakai is a scholar working on Computational Mechanics, Ocean Engineering and Mechanical Engineering, having authored 112 papers that have together received 3.7k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (75 papers), Fluid Dynamics Simulations and Interactions (55 papers) and Fluid Dynamics and Heat Transfer (30 papers). The work is most often cited by research in Computational Mechanics (3.2k citations), Ocean Engineering (860 citations) and Mechanical Engineering (1.1k citations). Mikio Sakai has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Seiichi Koshizuka, Xiaosong Sun, Yusuke Shigeto, Yuki Mori, Yoshinori Yamada, Kazuya Takabatake, Guangtao Duan, Christopher C. Pain, Kazuya Shibata and Jiansheng Xiang. Their work appears in journals such as Journal of Computational Physics, Chemical Engineering Journal and International Journal of Heat and Mass Transfer.
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.