Jun Rekimoto

57 papers and 987 indexed citations i.

About

Jun Rekimoto is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Jun Rekimoto has authored 57 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Human-Computer Interaction, 25 papers in Computer Vision and Pattern Recognition and 14 papers in Cognitive Neuroscience. Recurrent topics in Jun Rekimoto’s work include Interactive and Immersive Displays (17 papers), Tactile and Sensory Interactions (12 papers) and Augmented Reality Applications (11 papers). Jun Rekimoto is often cited by papers focused on Interactive and Immersive Displays (17 papers), Tactile and Sensory Interactions (12 papers) and Augmented Reality Applications (11 papers). Jun Rekimoto collaborates with scholars based in Japan, United States and Switzerland. Jun Rekimoto's co-authors include Takayuki Hoshi, Yoichi Ochiai, Yuji Ayatsuka, Kenichi Hayashi, Shunichi Kasahara, Naohiko Kohtake, Yuichiro Anzai, Satoshi Hasegawa, Stephen Intille and Hiromi Nakamura and has published in prestigious journals such as PLoS ONE, Communications of the ACM and ACM Transactions on Graphics.

In The Last Decade

Co-authorship network of co-authors of Jun Rekimoto i

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.

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).

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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