Daisuke Uriu

429 citations
26 papers · 298 indexed · h-index 12
Topics
Innovative Human-Technology Interaction (14 papers)Interactive and Immersive Displays (8 papers)Virtual Reality Applications and Impacts (6 papers)
Journals
Design IssuesCHI Conference on Human Factors in Computing Systems
Partner nations
JapanCanadaAustralia

In The Last Decade

Daisuke Uriu

23 papers receiving 292 citations

Peers

Daisuke Uriu
Comparison fields: 5 of 57
  • Human-Computer Interaction 226
  • Demography 53
  • Clinical Psychology 49
  • Computer Vision and Pattern Recognition 43
  • Social Psychology 41
Replace Nadine Jarvis with:
Nadine Jarvis United Kingdom
Pradthana Jarusriboonchai Finland
Tobie Kerridge United Kingdom
Johanna Mercurio Sweden
Nelson Zagalo Portugal
Evropi Stefanidi Germany
Daniel Harley Canada
Samarth Singhal Canada
‪Alejandro Lorenzo-Lledó‬ Spain
Kelly Mack United States
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Citations per field
00.5×8.2×
Nadine Jarvis · 1×
Citations per year

Countries citing papers authored by Daisuke Uriu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daisuke Uriu

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Uriu. A scholar is included among the top collaborators of Daisuke Uriu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daisuke Uriu. Daisuke Uriu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 14
3 1
4 1
5 2
6 22
7 19
8 23
9 14
10 16
11 37
12 19
13 1
14 3
15 49
16 15
17
MASTABA: Family Digital Shrine
0
18 9
19 1
20 1

About Daisuke Uriu

Daisuke Uriu is a scholar working on Human-Computer Interaction, Computer Science Applications and Museology, 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) and Virtual Reality Applications and Impacts (6 papers). The work is most often cited by research in Human-Computer Interaction (226 citations), Museology (17 citations) and Demography (53 citations). Daisuke Uriu has collaborated with scholars based in Japan, Canada and Australia. Frequent co-authors include William Odom, Masahiko İnami, Zendai Kashino, Atsushi Hiyama, Shigeo Yoshida, David Kirk, Michiteru Kitazaki, Satoru Hashimoto, Ron Wakkary and Richard Banks. 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.

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