Daisy Yoo

1.2k citations
37 papers · 728 · h-index 15

Impact in

Papers in

Daisy Yoo

34 papers receiving 704 citations

Peers

Daisy Yoo
Comparison fields: 5 of 91
  • Human-Computer Interaction 308
  • Computer Science Applications 95
  • Transportation 96
  • Management of Technology and Innovation 64
  • Safety Research 41
Replace Mariam Asad with:
Mariam Asad United States
Vaishnav Kameswaran United States
Regina Bernhaupt France
Vincent Koenig Luxembourg
Mattias Rost Sweden
Maria Angela Ferrario United Kingdom
Carine Lallemand Luxembourg
Mike Harding United Kingdom
Jeni Paay Denmark
Ronald Schroeter Australia
Daisy Yoo relative to Mariam Asad United States Mariam Asad's profile →
Citations per field
00.5×1.6×
Mariam Asad · 1×
Citations per year

Countries citing papers authored by Daisy Yoo

Since Specialization
Citations

This map shows the geographic impact of Daisy Yoo'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 Daisy Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisy Yoo more than expected).

Fields of papers citing papers by Daisy Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daisy Yoo. 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 Daisy Yoo. The network helps show where Daisy Yoo may publish in the future.

Co-authors

The 25 scholars most cited alongside Daisy Yoo, 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 Daisy Yoo Line = papers co-authored together Daisy Yoo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011117
2 2016106
3 201396
4 201844
5 201838
6 201731
7 201130
8 201429
9 202328
10 201027
11 201326
12 201624
13 202416
14 201815
15 201614
16 201712
17 201912
18 201812
19 201810
20 20239

About Daisy Yoo

Daisy Yoo is a scholar working on Human-Computer Interaction, Sociology and Political Science, Computer Science Applications, Management of Technology and Innovation and Marketing, having authored 37 papers that have together received 728 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (24 papers), Persona Design and Applications (10 papers), Information Systems Theories and Implementation (9 papers), Usability and User Interface Design (5 papers), Innovative Approaches in Technology and Social Development (5 papers), Design Education and Practice (4 papers), Technology Use by Older Adults (4 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). The work is most often cited by research in Human-Computer Interaction (308 citations), Computer Science Applications (95 citations), Transportation (96 citations), Management of Technology and Innovation (64 citations) and Safety Research (41 citations). Daisy Yoo has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Batya Friedman, David W. McDonald, Norah Abokhodair, John Zimmerman, Aaron Steinfeld, Anthony Tomasic, David G. Hendry, Alina Huldtgren, Jill Palzkill Woelfer and Nikhil R. Thiruvengadam. Their work appears in journals such as Interacting with Computers, Ethics and Information Technology, Telemedicine Journal and e-Health, Journal of Pain and Transportation Research Record Journal of the Transportation Research Board.

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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