Hyewon Suh

775 citations
17 papers · 555 · h-index 8

Impact in

Papers in

Hyewon Suh

16 papers receiving 535 citations

Peers

Hyewon Suh
Comparison fields: 5 of 68
  • Human-Computer Interaction 160
  • Health Informatics 18
  • Applied Psychology 43
  • Education 259
  • Communication 35
Replace Jennifer G. Kim with:
Jennifer G. Kim United States
Frode Guribye Norway
Jessica L. Feuston United States
Calvin Alan Liang United States
Lisa B. Hurwitz United States
Herman Saksono United States
Marguerite Barry Ireland
Lorenzo Curti Italy
Mayara Costa Figueiredo United States
Mark Eibes Germany
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Citations per field
00.5×2×3×3.8×
Jennifer G. Kim · 1×
Citations per year

Countries citing papers authored by Hyewon Suh

Since Specialization
Citations

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

Fields of papers citing papers by Hyewon Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Hyewon Suh, 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 Hyewon Suh Line = papers co-authored together Hyewon Suh links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2015139
2 2016110
3 2016103
4 201550
5 201449
6 202425
7 201619
8 201917
9 20128
10 20257
11 20257
12 20187
13 20185
14
Baby Steps Text: Feasibility Study of an SMS-Based Tool for Tracking Children's Developmental Progress.
20165
15 20243
16 20171
17 20250

About Hyewon Suh

Hyewon Suh is a scholar working on Human-Computer Interaction, Health Informatics, Education, Management of Technology and Innovation and Demography, having authored 17 papers that have together received 555 indexed citations. Recurring topics across this work include Child Development and Digital Technology (6 papers), Innovative Human-Technology Interaction (4 papers), ICT in Developing Communities (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Technology Use by Older Adults (2 papers), Innovative Approaches in Technology and Social Development (2 papers), Impact of Technology on Adolescents (2 papers) and Mobile Health and mHealth Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (160 citations), Health Informatics (18 citations), Applied Psychology (43 citations), Education (259 citations) and Communication (35 citations). Hyewon Suh has collaborated with scholars based in United States. Frequent co-authors include Julie A. Kientz, Alexis Hiniker, Kiley Sobel, Eric B. Hekler, Charlotte P. Lee, John R. Porter, Sung-Soo Hong, Aayushi Dangol, Hedda Meadan and Carol Miller. Their work appears in journals such as JMIR Pediatrics and Parenting, Journal of Biomedical Informatics, International Journal of Human-Computer Studies, JMIR Human Factors and GetMobile Mobile Computing and Communications.

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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