Ryo Sakurai
- Electrical and Electronic Engineering
- Biomedical Engineering
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Cognitive Neuroscience
- Co-authors
- Reiji HattoriHoward SeeKohei NakajimaMitsuhiro NishidaShingo OhnoTomohiro TaniguchiSumito TsunegiH See
- Topics
- Electrowetting and Microfluidic Technologies (10 papers)Neural Networks and Reservoir Computing (7 papers)Advanced Memory and Neural Computing (6 papers)
- Cited by
- Human-Computer InteractionCivil and Structural EngineeringElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaAdvanced ScienceJournal of Rheology
In The Last Decade
Ryo Sakurai
36 papers receiving 348 citations
Peers
Comparison fields: 5 of 47
- Electrical and Electronic Engineering 199
- Biomedical Engineering 139
- Artificial Intelligence 99
- Civil and Structural Engineering 84
- Cognitive Neuroscience 50
Countries citing papers authored by Ryo Sakurai
This map shows the geographic impact of Ryo Sakurai'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 Ryo Sakurai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Sakurai more than expected).
Fields of papers citing papers by Ryo Sakurai
This network shows the impact of papers produced by Ryo Sakurai. 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 Ryo Sakurai. The network helps show where Ryo Sakurai may publish in the future.
Co-authorship network of co-authors of Ryo Sakurai
This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Sakurai. A scholar is included among the top collaborators of Ryo Sakurai 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 Ryo Sakurai. Ryo Sakurai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 27 | |
| 6 | 20 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 12 | |
| 14 | Power consumption of a Quick-Response Liquid Powder Display (QR-LPD®) | 3 |
| 15 | 12 | |
| 16 | Novel reflective display QR-LPD® | 1 |
| 17 | 11 | |
| 18 | 17 | |
| 19 | 21 | |
| 20 | 33 |
About Ryo Sakurai
Ryo Sakurai is a scholar working on Human-Computer Interaction, Media Technology and Electrical and Electronic Engineering, having authored 39 papers that have together received 379 indexed citations. Recurring topics across this work include Electrowetting and Microfluidic Technologies (10 papers), Neural Networks and Reservoir Computing (7 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Human-Computer Interaction (26 citations), Civil and Structural Engineering (84 citations) and Electrical and Electronic Engineering (199 citations). Ryo Sakurai has collaborated with scholars based in Japan, Australia and Spain. Frequent co-authors include Reiji Hattori, Howard See, Kohei Nakajima, Mitsuhiro Nishida, Shingo Ohno, Tomohiro Taniguchi, Sumito Tsunegi, H See, Yasuo Kuniyoshi and Koichi Suzumori. Their work appears in journals such as SHILAP Revista de lepidopterología, Advanced Science and Journal of Rheology.
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.