Jun Sakakibara
- Computational Mechanics top 1%
- Aerospace Engineering top 5%
- Biomedical Engineering top 10%
- Mechanical Engineering top 5%
- Ocean Engineering top 2%
- Co-authors
- R. J. AdrianS. T. ThoroddsenK. HishidaKoichi HishidaMasanobu MaedaRonald J. AdrianM. MaedaTadashi Matsuda
- Topics
- Fluid Dynamics and Turbulent Flows (26 papers)Particle Dynamics in Fluid Flows (12 papers)Heat Transfer Mechanisms (10 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Jun Sakakibara
48 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 105
- Computational Mechanics 993
- Aerospace Engineering 376
- Biomedical Engineering 370
- Mechanical Engineering 348
- Ocean Engineering 237
Countries citing papers authored by Jun Sakakibara
This map shows the geographic impact of Jun Sakakibara'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 Jun Sakakibara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sakakibara more than expected).
Fields of papers citing papers by Jun Sakakibara
This network shows the impact of papers produced by Jun Sakakibara. 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 Jun Sakakibara. The network helps show where Jun Sakakibara may publish in the future.
Co-authorship network of co-authors of Jun Sakakibara
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Sakakibara. A scholar is included among the top collaborators of Jun Sakakibara 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 Jun Sakakibara. Jun Sakakibara 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 | 1 | |
| 3 | 22 | |
| 4 | THREE-DIMENSIONAL FLOW FIELD AND LEG MOTION DURING UNDULATORY UNDERWATER SWIMMING | 2 |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 9th International Symposium on Particle Image Velocimetry | 3 |
| 10 | Stereo-PIV study of turbulent flow downstream of a bend in a round pipe | 9 |
| 11 | 19 | |
| 12 | 61 | |
| 13 | Three-Dimensional Vortical Structures of a Round Impinging Jet Measured by Scanning Stereo-PIV | 1 |
| 14 | 29 | |
| 15 | 72 | |
| 16 | Measurements of Temperature Field of Rayleigh-Bernard Convection | 1 |
| 17 | 55 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | Time-series measurements of turbulent flow field using image processing system | 3 |
About Jun Sakakibara
Jun Sakakibara is a scholar working on Computational Mechanics, Ocean Engineering and Aerospace Engineering, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (26 papers), Particle Dynamics in Fluid Flows (12 papers) and Heat Transfer Mechanisms (10 papers). The work is most often cited by research in Computational Mechanics (993 citations), Surfaces, Coatings and Films (109 citations) and Ocean Engineering (237 citations). Jun Sakakibara has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include R. J. Adrian, S. T. Thoroddsen, K. Hishida, Koichi Hishida, Masanobu Maeda, Ronald J. Adrian, M. Maeda, Tadashi Matsuda, Ryan B. Wicker and Masaru Nakagawa. Their work appears in journals such as Science, Physical Review Letters and Journal of Fluid Mechanics.
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.