Yasushi Ito
- Computational Mechanics top 0.5%
- Aerospace Engineering top 1%
- Neurology top 1%
- Molecular Biology
- Surgery top 5%
- Co-authors
- Kazuhiro NakahashiAlan M. ShihBharat K. SoniMitsuhiro MurayamaA WalshNeal AzrolanJan L. BreslowKazuomi Yamamoto
- Topics
- Computational Fluid Dynamics and Aerodynamics (55 papers)Intracranial Aneurysms: Treatment and Complications (36 papers)Fluid Dynamics and Turbulent Flows (34 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yasushi Ito
241 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computational Mechanics 1.4k
- Aerospace Engineering 1.1k
- Neurology 841
- Molecular Biology 620
- Surgery 572
Countries citing papers authored by Yasushi Ito
This map shows the geographic impact of Yasushi Ito'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 Yasushi Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasushi Ito more than expected).
Fields of papers citing papers by Yasushi Ito
This network shows the impact of papers produced by Yasushi Ito. 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 Yasushi Ito. The network helps show where Yasushi Ito may publish in the future.
Co-authorship network of co-authors of Yasushi Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Ito. A scholar is included among the top collaborators of Yasushi Ito 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 Yasushi Ito. Yasushi Ito 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 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | Combustion Improvement of Diesel Engine by Alcohol Addition - Investigation of Port Injection Method and Blended Fuel Method | 2 |
| 9 | 1 | |
| 10 | 2 | |
| 11 | MULTIDISCIPLINARY DESIGN OPTIMIZATION OF WING SHAPE WITH NACELLE AND PYLON | 7 |
| 12 | Reliable Isotropic Tetrahedral Mesh Generation Based on an Advancing Front Method. | 36 |
| 13 | 16 | |
| 14 | Evaluation of the stability of aneurysms after embolization using detachable coils: correlation between stability of aneurysms and embolized volume of aneurysms. | 198 |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | GaAs HEMT distributed amplifiers | 0 |
About Yasushi Ito
Yasushi Ito is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Neurology, having authored 272 papers that have together received 4.8k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (55 papers), Intracranial Aneurysms: Treatment and Complications (36 papers) and Fluid Dynamics and Turbulent Flows (34 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (365 citations), Computational Mechanics (1.4k citations) and Neurology (841 citations). Yasushi Ito has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kazuhiro Nakahashi, Alan M. Shih, Bharat K. Soni, Mitsuhiro Murayama, A Walsh, Neal Azrolan, Jan L. Breslow, Kazuomi Yamamoto, Fumiya Togashi and Ryuichi Tanaka. Their work appears in journals such as Science, Circulation and Journal of Clinical Investigation.
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.