Keita Higuchi
- Human-Computer Interaction top 2%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Aerospace Engineering top 10%
- Social Psychology
- Co-authors
- Jun RekimotoYoichi SatoRyo YonetaniSeita KayukawaShigeo MorishimaKris KitaniChieko AsakawaJoão Guerreiro
- Topics
- Gaze Tracking and Assistive Technology (8 papers)Video Analysis and Summarization (6 papers)Virtual Reality Applications and Impacts (6 papers)
- Journals
- IEEE Computer Graphics and ApplicationsProceedings of the ACM on Human-Computer InteractionACM Transactions on Interactive Intelligent Systems
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Keita Higuchi
31 papers receiving 484 citations
Peers
Comparison fields: 5 of 70
- Human-Computer Interaction 234
- Computer Vision and Pattern Recognition 218
- Cognitive Neuroscience 137
- Aerospace Engineering 110
- Social Psychology 49
Countries citing papers authored by Keita Higuchi
This map shows the geographic impact of Keita Higuchi'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 Keita Higuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keita Higuchi more than expected).
Fields of papers citing papers by Keita Higuchi
This network shows the impact of papers produced by Keita Higuchi. 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 Keita Higuchi. The network helps show where Keita Higuchi may publish in the future.
Co-authorship network of co-authors of Keita Higuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Keita Higuchi. A scholar is included among the top collaborators of Keita Higuchi 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 Keita Higuchi. Keita Higuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 25 | |
| 18 | 43 | |
| 19 | 4 | |
| 20 | 18 |
About Keita Higuchi
Keita Higuchi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Human Factors and Ergonomics, having authored 35 papers that have together received 496 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (8 papers), Video Analysis and Summarization (6 papers) and Virtual Reality Applications and Impacts (6 papers). The work is most often cited by research in Human-Computer Interaction (234 citations), Computer Vision and Pattern Recognition (218 citations) and Cognitive Neuroscience (137 citations). Keita Higuchi has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Jun Rekimoto, Yoichi Sato, Ryo Yonetani, Seita Kayukawa, Shigeo Morishima, Kris Kitani, Chieko Asakawa, João Guerreiro, Yinpeng Chen and Zhengyou Zhang. Their work appears in journals such as IEEE Computer Graphics and Applications, Proceedings of the ACM on Human-Computer Interaction and ACM Transactions on Interactive Intelligent Systems.
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.