Hee Rin Lee

1.4k citations
47 papers · 1.1k · h-index 18

Impact in

Papers in

Hee Rin Lee

44 papers receiving 1.0k citations

Peers

Hee Rin Lee
Comparison fields: 5 of 91
  • Human-Computer Interaction 379
  • Social Psychology 505
  • Neuropsychology and Physiological Psychology 31
  • Demography 181
  • Applied Psychology 61
Replace Kellie Morrissey with:
Kellie Morrissey Ireland
Alisha Pradhan United States
Susanne Frennert Sweden
Lesa Lorenzen Huber United States
Hadas Erel Israel
Ya-Huei Wu-Puigbo France
Karyn Moffatt Canada
Kensuke Kato Japan
Steven J. Baker Australia
Verena Fuchsberger Austria
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Citations per field
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Citations per year

Countries citing papers authored by Hee Rin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hee Rin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee Rin Lee. 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 Hee Rin Lee. The network helps show where Hee Rin Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017181
2 2014109
3 201888
4 201980
5 201276
6 201266
7 201946
8 201637
9 202130
10
Towards Culturally Robust Robots: A Critical Social Perspective on Robotics and Culture
201430
11 202225
12 201723
13 201022
14 201322
15 201922
16 202119
17 202218
18 201018
19 201415
20 202315

About Hee Rin Lee

Hee Rin Lee is a scholar working on Human-Computer Interaction, Social Psychology, Demography, Applied Psychology and Computer Science Applications, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (21 papers), Social Robot Interaction and HRI (14 papers), Technology Use by Older Adults (8 papers), AI in Service Interactions (6 papers), Digital Mental Health Interventions (5 papers), Teaching and Learning Programming (4 papers), Persona Design and Applications (3 papers) and Human-Automation Interaction and Safety (3 papers). The work is most often cited by research in Human-Computer Interaction (379 citations), Social Psychology (505 citations), Neuropsychology and Physiological Psychology (31 citations), Demography (181 citations) and Applied Psychology (61 citations). Hee Rin Lee has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Selma Šabanović, Laurel D. Riek, Casey C. Bennett, David Hakken, Shinichi Nagata, Jennifer Ann Piatt, Wan-Ling Chang, Ja-Young Sung, Ji Youn Shin and Wei Peng. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, The Library Quarterly, ACM Transactions on Human-Robot Interaction, Proceedings of the Association for Information Science and Technology and JMIR Formative Research.

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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