Daisuke Uriu
Impact in
- Human-Computer Interaction top 2%
- Innovative Human-Technology Interaction
- Interactive and Immersive Displays
- Virtual Reality Applications and Impacts
- Persona Design and Applications
- Museology top 5%
Papers in
-
- Innovative Human-Technology Interaction 14
- Interactive and Immersive Displays 8
- Virtual Reality Applications and Impacts 6
- Persona Design and Applications 2
- Co-authors
- William Odom (4 shared papers)Masahiko İnami (13 shared papers)Zendai Kashino (7 shared papers)Atsushi Hiyama (5 shared papers)Shigeo Yoshida (3 shared papers)Michiteru Kitazaki (1 shared paper)Richard Banks (1 shared paper)Ron Wakkary (1 shared paper)
- Journals
- Design Issues (1 paper)CHI Conference on Human Factors in Computing Systems (1 paper)
- Partner nations
- JapanCanadaSouth Korea
In The Last Decade
Daisuke Uriu
23 papers receiving 292 citations
Peers
Comparison fields: 5 of 57
- Human-Computer Interaction 226
- Museology 17
- Demography 53
- Computer Science Applications 24
- Applied Psychology 17
Countries citing papers authored by Daisuke Uriu
This map shows the geographic impact of Daisuke Uriu'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 Daisuke Uriu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Uriu more than expected).
Fields of papers citing papers by Daisuke Uriu
This network shows the impact of papers produced by Daisuke Uriu. 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 Daisuke Uriu. The network helps show where Daisuke Uriu may publish in the future.
Co-authors
The 15 scholars most cited alongside Daisuke Uriu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 49 | |
| 2 | 2016 | 37 | |
| 3 | 2018 | 23 | |
| 4 | 2021 | 22 | |
| 5 | 2012 | 19 | |
| 6 | 2021 | 19 | |
| 7 | 2022 | 19 | |
| 8 | 2018 | 16 | |
| 9 | 2009 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2018 | 14 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2006 | 9 | |
| 15 | 2019 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2011 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2005 | 1 |
About Daisuke Uriu
Daisuke Uriu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Clinical Psychology, Cognitive Neuroscience and Demography, having authored 26 papers that have together received 298 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (14 papers), Interactive and Immersive Displays (8 papers), Virtual Reality Applications and Impacts (6 papers), Grief, Bereavement, and Mental Health (3 papers), Technology Use by Older Adults (3 papers), Anthropological Studies and Insights (2 papers), Digital Media and Philosophy (2 papers) and Persona Design and Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (226 citations), Museology (17 citations), Demography (53 citations), Computer Science Applications (24 citations) and Applied Psychology (17 citations). Daisuke Uriu has collaborated with scholars based in Japan, Canada and South Korea. Frequent co-authors include William Odom, Masahiko İnami, Zendai Kashino, Atsushi Hiyama, Shigeo Yoshida, Michiteru Kitazaki, Richard Banks, Ron Wakkary, David Kirk and Satoru Hashimoto. Their work appears in journals such as Design Issues and CHI Conference on Human Factors in Computing 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.