Hae Won Park

79 papers receiving 1.7k citations

Peers

Hae Won Park
Comparison fields: 5 of 140
  • Computer Science Applications 356
  • Human-Computer Interaction 202
  • Social Psychology 616
  • Applied Psychology 132
  • Health Informatics 28
Replace Omar Mubin with:
Omar Mubin Australia
Suleman Shahid Pakistan
Nigel Bosch United States
Helena M. Mentis United States
Jamy Li United States
Daniel Avrahami United States
Sofía Ouhbi United Arab Emirates
Carolin Wienrich Germany
Taemie Kim United States
Scotty D. Craig United States
Hae Won Park relative to Omar Mubin Australia Omar Mubin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hae Won Park

Since Specialization
Citations

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

Fields of papers citing papers by Hae Won Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae Won Park. 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 Hae Won Park. The network helps show where Hae Won Park may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020162
2 2019157
3 2010148
4 2019128
5 201795
6 201993
7 201770
8 201863
9 202159
10 201857
11 201856
12 201955
13 202048
14 202246
15 201436
16 202230
17 202029
18 202028
19 201927
20 202224

About Hae Won Park

Hae Won Park is a scholar working on Social Psychology, Artificial Intelligence, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Applied Psychology, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (26 papers), AI in Service Interactions (15 papers), Child Development and Digital Technology (10 papers), Digital Mental Health Interventions (10 papers), Child and Animal Learning Development (8 papers), Speech and dialogue systems (7 papers), Innovative Human-Technology Interaction (6 papers) and Teaching and Learning Programming (6 papers). The work is most often cited by research in Computer Science Applications (356 citations), Human-Computer Interaction (202 citations), Social Psychology (616 citations), Applied Psychology (132 citations) and Health Informatics (28 citations). Hae Won Park has collaborated with scholars based in United States, South Korea and Saudi Arabia. Frequent co-authors include Cynthia Breazeal, Randi Williams, Huili Chen, Anastasia K. Ostrowski, Rosalind W. Picard, Sharifa Alghowinem, Jin Joo Lee, Samuel Spaulding, Jean Kyung Paik and Jin Hee Lee. Their work appears in journals such as Journal of Computer Assisted Tomography, JMIR Mental Health, Autonomous Agents and Multi-Agent Systems, Science Robotics and Computers & Education.

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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