Jun Rekimoto

11.4k citations
300 papers · 8.9k · 1 hit paper · h-index 47

Impact in

Papers in

Jun Rekimoto

277 papers receiving 8.3k citations

Jun Rekimoto's Hit Papers

SmartSkin 2002 · 539 citations
5390+8+16Years since publication100200300400500

Peers

Jun Rekimoto
Comparison fields: 5 of 126
  • Human-Computer Interaction 5.6k
  • Computer Vision and Pattern Recognition 1.7k
  • Cognitive Neuroscience 939
  • Signal Processing 234
  • Media Technology 215
Replace Chris Harrison with:
Chris Harrison United States
Desney S. Tan United States
Scott E. Hudson United States
Hans W. Gellersen United Kingdom
Sriram Subramanian United Kingdom
Ivan Poupyrev United States
Andrew D. Wilson United States
Thad E. Starner United States
Patrick Baudisch Germany
Andreas Bulling Germany
Jun Rekimoto relative to Chris Harrison United States Chris Harrison's profile →
Citations per field
00.5×1.5×2.2×
Chris Harrison · 1×
Citations per year

Countries citing papers authored by Jun Rekimoto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jun Rekimoto Line = papers co-authored together Jun Rekimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 300 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SmartSkin
Hit paper breakdown →
2002539
2 1999521
3 1997466
4 2002353
5 2000347
6 1995317
7 2002284
8 1996276
9 2011191
10 1998183
11 2002170
12 2014166
13 2001163
14 1997159
15 1999139
16 2014130
17 2002106
18 2019105
19 2014102
20 201398

About Jun Rekimoto

Jun Rekimoto is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Media Technology and Signal Processing, having authored 300 papers that have together received 8.9k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (109 papers), Virtual Reality Applications and Impacts (51 papers), Innovative Human-Technology Interaction (30 papers), Augmented Reality Applications (29 papers), Tactile and Sensory Interactions (27 papers), Teleoperation and Haptic Systems (25 papers), Advanced Optical Imaging Technologies (20 papers) and Speech and Audio Processing (19 papers). The work is most often cited by research in Human-Computer Interaction (5.6k citations), Computer Vision and Pattern Recognition (1.7k citations), Cognitive Neuroscience (939 citations), Signal Processing (234 citations) and Media Technology (215 citations). Jun Rekimoto has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Yuji Ayatsuka, Takashi Miyaki, Katashi Nagao, Shunichi Kasahara, Yoichi Ochiai, Takayuki Hoshi, Shigeaki Maruyama, Ivan Poupyrev, Keita Higuchi and Emi Tamaki. Their work appears in journals such as IEEE Pervasive Computing, Computer, Personal and Ubiquitous Computing, Proceedings of the ACM on Human-Computer Interaction and ACM Transactions on Computer-Human Interaction.

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.

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