Akira Ito
- Mechanical Engineering top 5%
- Biomedical Engineering top 10%
- Catalysis top 5%
- Water Science and Technology top 5%
- Materials Chemistry
- Co-authors
- Yusuke ShimoyamaMasayoshi OkuboKazunori TeradaAkira OhkawaShuji HashimotoKazuaki YamagiwaYoshimitsu AokiSun‐Tak Hwang
- Topics
- Membrane Separation and Gas Transport (29 papers)Membrane Separation Technologies (17 papers)Ionic liquids properties and applications (12 papers)
- Partner nations
- JapanUnited StatesUkraine
In The Last Decade
Akira Ito
116 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 115
- Mechanical Engineering 573
- Biomedical Engineering 360
- Catalysis 245
- Water Science and Technology 243
- Materials Chemistry 207
Countries citing papers authored by Akira Ito
This map shows the geographic impact of Akira 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 Akira Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Ito more than expected).
Fields of papers citing papers by Akira Ito
This network shows the impact of papers produced by Akira 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 Akira Ito. The network helps show where Akira Ito may publish in the future.
Co-authorship network of co-authors of Akira Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Ito. A scholar is included among the top collaborators of Akira 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 Akira Ito. Akira 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 | Perceiving Animacy from the Double-Pendulum Movement | 0 |
| 4 | An Experimental Investigation of Adaptive Algorithm Understanding | 0 |
| 5 | 1 | |
| 6 | An Emotion Expression Model for a Robot by Dynamic Illuminated Color Change | 1 |
| 7 | 12 | |
| 8 | 3 | |
| 9 | Role of vision on haptic length perception | 1 |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | VOC Vapor Permeation through Triethylene Glycol Liquid Membranes | 2 |
| 14 | 3 | |
| 15 | Effect of impeller clearance on power consumption of unsteadily forward-reverse rotating multiple impellers in an unbaffled agitation vessel | 4 |
| 16 | 9 | |
| 17 | Seakeeping Computations of a Blunt Ship Capturing the Influence of the Steady Flow. | 10 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 24 |
About Akira Ito
Akira Ito is a scholar working on Catalysis, Water Science and Technology and Mechanical Engineering, having authored 131 papers that have together received 1.4k indexed citations. Recurring topics across this work include Membrane Separation and Gas Transport (29 papers), Membrane Separation Technologies (17 papers) and Ionic liquids properties and applications (12 papers). The work is most often cited by research in Catalysis (245 citations), Water Science and Technology (243 citations) and Process Chemistry and Technology (45 citations). Akira Ito has collaborated with scholars based in Japan, United States and Ukraine. Frequent co-authors include Yusuke Shimoyama, Masayoshi Okubo, Kazunori Terada, Akira Ohkawa, Shuji Hashimoto, Kazuaki Yamagiwa, Yoshimitsu Aoki, Sun‐Tak Hwang, Makoto Sato and Kazuhiko Ichimi. Their work appears in journals such as Applied Physics Letters, Journal of The Electrochemical Society and Journal of Membrane Science.
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.