Jun Rekimoto
- Human-Computer Interaction top 0.01%
- Interactive and Immersive Displays 101
- Virtual Reality Applications and Impacts 38
- Gaze Tracking and Assistive Technology 30
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- Augmented Reality Applications 48
- Video Analysis and Summarization 20
- Cognitive Neuroscience top 0.5%
- Tactile and Sensory Interactions 74
- Media Technology top 2%
- Advanced Optical Imaging Technologies 19
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- Teleoperation and Haptic Systems 24
Jun Rekimoto
243 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 137
- Human-Computer Interaction 5.3k
- Computer Vision and Pattern Recognition 3.1k
- Cognitive Neuroscience 2.8k
- Information Systems and Management 361
- Media Technology 233
Countries citing papers authored by Jun Rekimoto
This map shows the geographic impact of Jun Rekimoto'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 Jun Rekimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Rekimoto more than expected).
Fields of papers citing papers by Jun Rekimoto
This network shows the impact of papers produced by Jun Rekimoto. 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 Jun Rekimoto. The network helps show where Jun Rekimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Rekimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 | |
| 9 | TieLent A Casual Neck-Mounted Mouth Capturing Device for Silent Speech Interaction | 2020 | 1 |
| 10 | 2018 | 13 | |
| 11 | 人体への電力を適用する安全システム開発のための設計ガイドライン【JST・京大機械翻訳】 | 2018 | 3 |
| 12 | JackIn: Integrating first-person view with out-of-body vision generation for human-human augmentation | 2014 | 1 |
| 13 | 2013 | 4 | |
| 14 | 2012 | 1 | |
| 15 | GraspZoom: Zooming and scrolling control model for single-handed mobile interaction | 2009 | 1 |
| 16 | 2009 | 24 | |
| 17 | UbiComp 2005: Ubiquitous Computing: 7th International Conference, UbiComp 2005, Tokyo, Japan, September 11-14, 2005, Proceedings (Lecture Notes in Computer Science) | 2005 | 2 |
| 18 | 2005 | 1 | |
| 19 | 2004 | 1 | |
| 20 | A Magnifying Glass Approach to Augmented Reality Systems. | 1997 | 28 |
About Jun Rekimoto
Jun Rekimoto is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Media Technology, having authored 264 papers that have together received 7.3k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (101 papers), Tactile and Sensory Interactions (74 papers), Augmented Reality Applications (48 papers), Virtual Reality Applications and Impacts (38 papers), Gaze Tracking and Assistive Technology (30 papers), Teleoperation and Haptic Systems (24 papers), Video Analysis and Summarization (20 papers) and Advanced Optical Imaging Technologies (19 papers). The work is most often cited by research in Human-Computer Interaction (5.3k citations), Computer Vision and Pattern Recognition (3.1k citations), Cognitive Neuroscience (2.8k citations), Information Systems and Management (361 citations) and Media Technology (233 citations). Jun Rekimoto has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Yuji Ayatsuka, Takashi Miyaki, Masanori Saitoh, Katashi Nagao, Shunichi Kasahara, Yoichi Ochiai, Takayuki Hoshi, Shigeaki Maruyama, Ivan Poupyrev and Keita Higuchi. Their work appears in journals such as IEEE Pervasive Computing, Personal and Ubiquitous Computing, Computer, Proceedings of the ACM on Human-Computer Interaction and ACM Transactions on Graphics.
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.