World's Best Scientists 2026 revealed!
Jun Rekimoto

Jun Rekimoto

Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
16729
World Ranking
3574
National Ranking
32

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Jun Rekimoto is a researcher affiliated with the University of Tokyo in Japan, specializing in Computer Science with a focus on Human-Computer Interaction, Artificial Intelligence, and Computer Vision and Pattern Recognition. Their scholarly output includes 32 publications across these domains, with significant contributions in subfields such as Signal Processing and Sociology and Political Science.

Their research addresses topics including Interactive and Immersive Displays, Gaze Tracking and Assistive Technology, Augmented Reality Applications, and various aspects of Speech and Audio Processing encompassing Speech and Dialogue Systems and Speech Recognition and Synthesis. Tactile and Sensory Interactions also feature among their research interests.

Jun Rekimoto's recent publications comprise works presented in prominent venues such as the CHI Conference on Human Factors in Computing Systems, ACM Symposium on Eye Tracking Research and Applications, and Proceedings of the ACM on Human-Computer Interaction. Notable papers include:

  • SilentSpeller: Towards mobile, hands-free, silent speech text entry using electropalatography, 2022, CHI Conference on Human Factors in Computing Systems
  • Gaze+Lip: Rapid, Precise and Expressive Interactions Combining Gaze Input and Silent Speech Commands for Hands-free Smart TV Control, 2021, ACM Symposium on Eye Tracking Research and Applications
  • A Surgical Scene Replay System for Learning Gastroenterological Endoscopic Surgery Skill by Multiple Synchronized-Video and Gaze Representation, 2021, Proceedings of the ACM on Human-Computer Interaction
  • Anodal Galvanic Taste Stimulation to the Chin Enhances Salty Taste of NaCl Water Solution, 2021, Journal of Robotics and Mechatronics
  • CalmResponses: Displaying Collective Audience Reactions in Remote Communication, 2022, ACM International Conference on Interactive Media Experiences

Rekimoto frequently collaborates with other researchers. Frequent co-authors include Zixiong Su, Xinlei Zhang, Hiromi Nakamura, Naoki Kimura, and Akira Matsuda.

Key publication venues for Rekimoto's work include:

  • arXiv (Cornell University)
  • CHI Conference on Human Factors in Computing Systems
  • Proceedings of the ACM on Human-Computer Interaction
  • Symposium on Spatial User Interaction
  • ACM Symposium on Eye Tracking Research and Applications

Best Publications

  • SmartSkin: an infrastructure for freehand manipulation on interactive surfaces

    Jun Rekimoto

  • Augmented surfaces: a spatially continuous work space for hybrid computing environments

    Jun Rekimoto;Masanori Saitoh

  • Pick-and-drop: a direct manipulation technique for multiple computer environments

    Jun Rekimoto

  • The world through the computer: computer augmented interaction with real world environments

    Jun Rekimoto;Katashi Nagao

  • CyberCode: designing augmented reality environments with visual tags

    Jun Rekimoto;Yuji Ayatsuka

  • Tilting operations for small screen interfaces

    Jun Rekimoto

  • Ambient touch: designing tactile interfaces for handheld devices

    Ivan Poupyrev;Shigeaki Maruyama;Jun Rekimoto

  • GestureWrist and GesturePad: unobtrusive wearable interaction devices

    Unknown

  • Time-machine computing: a time-centric approach for the information environment

    Jun Rekimoto

  • HoloWall: designing a finger, hand, body, and object sensitive wall

    Nobuyuki Matsushita;Jun Rekimoto

  • A multiple device approach for supporting whiteboard-based interactions

    Jun Rekimoto

  • DataTiles: a modular platform for mixed physical and graphical interactions

    Jun Rekimoto;Brygg Ullmer;Haruo Oba

  • Traxion: a tactile interaction device with virtual force sensation

    Jun Rekimoto

  • Matrix: a realtime object identification and registration method for augmented reality

    Unknown

  • PossessedHand: techniques for controlling human hands using electrical muscles stimuli

    Emi Tamaki;Takashi Miyaki;Jun Rekimoto

  • Pixie dust: graphics generated by levitated and animated objects in computational acoustic-potential field

    Yoichi Ochiai;Takayuki Hoshi;Jun Rekimoto

  • Augment-able reality: situated communication through physical and digital spaces

    Unknown

  • Lifetag: WiFi-based continuous location logging for life pattern analysis

    Jun Rekimoto;Takashi Miyaki;Takaaki Ishizawa

  • PreSense: interaction techniques for finger sensing input devices

    Jun Rekimoto;Takaaki Ishizawa;Carsten Schwesig;Haruo Oba

  • Lumen: interactive visual and shape display for calm computing

    Ivan Poupyrev;Tatsushi Nashida;Shigeaki Maruyama;Jun Rekimoto

  • The sound of touch: on-body touch and gesture sensing based on transdermal ultrasound propagation

    Adiyan Mujibiya;Xiang Cao;Desney S. Tan;Dan Morris

  • Fairy Lights in Femtoseconds: Aerial and Volumetric Graphics Rendered by Focused Femtosecond Laser Combined with Computational Holographic Fields

    Yoichi Ochiai;Kota Kumagai;Takayuki Hoshi;Jun Rekimoto

  • ToolStone: effective use of the physical manipulation vocabularies of input devices

    Jun Rekimoto;Eduardo Sciammarella

  • Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

    Friedemann Mattern;Silvia Santini;John F. Canny;Marc Langheinrich

Frequent Co-Authors

Hideki Koike
Hideki Koike Tokyo Institute of Technology
Masahiko Inami
Masahiko Inami University of Tokyo
Shwetak N. Patel
Shwetak N. Patel University of Washington
Marc Langheinrich
Marc Langheinrich Universita della Svizzera Italiana
Gregory D. Abowd
Gregory D. Abowd Northeastern University
Ivan Poupyrev
Ivan Poupyrev Google (United States)
John Canny
John Canny University of California, Berkeley
Akira Matsuda
Akira Matsuda Juntendo University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Computer Science degrees provide a strong foundation, but many students and professionals opt to complement or diversify their skill sets with programs in related fields. There is a growing demand for experts who can manage complex data, analyze trends, and support business decision-making processes.

For those interested in data-centric roles, online data science programs offer affordable and flexible learning paths to master data analytics, machine learning, and more. Similarly, tech-savvy individuals looking to enter the construction industry may benefit from a construction management degree, which blends technology with project management skills.

If your career goals lean toward business and leadership, consider affordable online MBA programs that can expand your opportunities in tech management and entrepreneurship. For those wanting to advance their education quickly, one year graduate programs provide an efficient way to earn a valuable credential and transition into new specialties.

Each of these options enables flexibility and career mobility, allowing you to shape your expertise for today’s evolving job market.

Best Scientists Citing Jun Rekimoto

Trending Scientists