Koji Tsukada
- Human-Computer Interaction top 1%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Social Psychology
- Electrical and Electronic Engineering
- Co-authors
- Itiro SiioCheng‐Yuan LiHao-Hua ChuYen‐Chang ChenLieven VanheckeDaisuke SuzukiAkira TsukamotoKôichi Yokosawa
- Topics
- Interactive and Immersive Displays (23 papers)Innovative Human-Technology Interaction (17 papers)Tactile and Sensory Interactions (9 papers)
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Koji Tsukada
44 papers receiving 419 citations
Peers
Comparison fields: 5 of 83
- Human-Computer Interaction 253
- Computer Vision and Pattern Recognition 109
- Cognitive Neuroscience 92
- Social Psychology 45
- Electrical and Electronic Engineering 35
Countries citing papers authored by Koji Tsukada
This map shows the geographic impact of Koji Tsukada'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 Koji Tsukada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Tsukada more than expected).
Fields of papers citing papers by Koji Tsukada
This network shows the impact of papers produced by Koji Tsukada. 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 Koji Tsukada. The network helps show where Koji Tsukada may publish in the future.
Co-authorship network of co-authors of Koji Tsukada
This figure shows the co-authorship network connecting the top 25 collaborators of Koji Tsukada. A scholar is included among the top collaborators of Koji Tsukada 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 Koji Tsukada. Koji Tsukada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 20 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 13 | |
| 14 | A System to Enrich Food Color | 0 |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | Ubi-Finger : Gesture Input Device for Mobile Use | 76 |
| 19 | 8 | |
| 20 | A Cooperative Support System Based on Multiplicity of Task. | 2 |
About Koji Tsukada
Koji Tsukada is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 48 papers that have together received 444 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (23 papers), Innovative Human-Technology Interaction (17 papers) and Tactile and Sensory Interactions (9 papers). The work is most often cited by research in Human-Computer Interaction (253 citations), Computer Vision and Pattern Recognition (109 citations) and Cognitive Neuroscience (92 citations). Koji Tsukada has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Itiro Siio, Cheng‐Yuan Li, Hao-Hua Chu, Yen‐Chang Chen, Lieven Vanhecke, Daisuke Suzuki, Akira Tsukamoto, Kôichi Yokosawa, Kazumasa Takagi and Toshiyuki Masui. Their work appears in journals such as Applied Physics Letters, Physica C Superconductivity and Tetsu-to-Hagane.
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.