Gary Hsieh

3.9k citations
83 papers · 2.4k indexed · h-index 27

Impact in

Papers in

Gary Hsieh

80 papers receiving 2.3k citations

Peers

Gary Hsieh
Comparison fields: 5 of 125
  • Human-Computer Interaction 921
  • Applied Psychology 304
  • Computer Science Applications 256
  • Communication 276
  • Information Systems and Management 236
Replace Eric P. S. Baumer with:
Eric P. S. Baumer United States
Anne Marie Piper United States
Geraldine Fitzpatrick Austria
Pamela Wiśniewski United States
Jenny Waycott Australia
Jed R. Brubaker United States
John Vines United Kingdom
Deborah Richards Australia
Sarita Schoenebeck United States
Jeremy Birnholtz United States
Gary Hsieh relative to Eric P. S. Baumer United States Eric P. S. Baumer's profile →
Citations per field
00.5×1.5×
Eric P. S. Baumer · 1×
Citations per year

Countries citing papers authored by Gary Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Gary Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20241
5 202323
6 20232
7 202310
8 20235
9 20221
10 20218
11 20181
12 201730
13 201624
14 201615
15 201520
16 20151
17 201112
18 201124
19 200741
20 200264

About Gary Hsieh

Gary Hsieh is a scholar working on Human-Computer Interaction, Applied Psychology, Communication, Computer Science Applications and Information Systems and Management, having authored 83 papers that have together received 2.4k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (16 papers), Social Media and Politics (11 papers), Personal Information Management and User Behavior (10 papers), Misinformation and Its Impacts (10 papers), Digital Mental Health Interventions (9 papers), Digital Marketing and Social Media (8 papers), Mobile Crowdsensing and Crowdsourcing (8 papers) and Knowledge Management and Sharing (7 papers). The work is most often cited by research in Human-Computer Interaction (921 citations), Applied Psychology (304 citations), Computer Science Applications (256 citations), Communication (276 citations) and Information Systems and Management (236 citations). Gary Hsieh has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Rafał Kocielnik, Jennifer Mankoff, Sean A. Munson, Scott E. Hudson, Morgan G. Ames, Scott Lederer, Anind K. Dey, Julie A. Kientz, Yu-Hao Lee and Wei Peng. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Journal of the Association for Information Science and Technology, Journal of the American Medical Informatics Association, International Journal of Human-Computer Studies and Scientific Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026