Guo Freeman
Impact in
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
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- Technology Adoption and User Behaviour
Papers in
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- Open Source Software Innovations 2
- Co-authors
- Donghee Yvette WohnCaitlin McLaughlinDane AcenaNathan J. McNeeseRui ZhangCyrus K. ForoughiGregory J. FunkeJamie C. Gorman
- Journals
- Computer Supported Cooperative Work (CSCW) (3 papers)Proceedings of the ACM on Human-Computer Interaction (2 papers)Computers in Human Behavior (1 paper)Games and Culture (1 paper)Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Guo Freeman
13 papers receiving 511 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Human-Computer Interaction 73
- Information Systems and Management 68
- Sociology and Political Science 428
- Communication 58
- Developmental and Educational Psychology 75
Countries citing papers authored by Guo Freeman
This map shows the geographic impact of Guo Freeman'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 Guo Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Freeman more than expected).
Fields of papers citing papers by Guo Freeman
This network shows the impact of papers produced by Guo Freeman. 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 Guo Freeman. The network helps show where Guo Freeman may publish in the future.
Co-authors
The 8 scholars most cited alongside Guo Freeman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 36 | |
| 4 | 2021 | 23 | |
| 5 | 2020 | 29 | |
| 6 | 2019 | 14 | |
| 7 | 2019 | 88 | |
| 8 | Explaining Viewers' Emotional, Instrumental, and Financial Support Provision for Live Streamers Hit paper breakdown → | 2018 | 161 |
| 9 | Multiplayer Online Games: Origins, Players, and Social Dynamics | 2018 | 0 |
| 10 | 2017 | 48 | |
| 11 | 2017 | 56 | |
| 12 | 2017 | 61 | |
| 13 | 2016 | 8 | |
| 14 | 2016 | 3 |
About Guo Freeman
Guo Freeman is a scholar working on Human-Computer Interaction, Computer Science Applications, Communication, Social Psychology and Sociology and Political Science, having authored 14 papers that have together received 534 indexed citations. Recurring topics across this work include Digital Games and Media (9 papers), Impact of Technology on Adolescents (7 papers), Team Dynamics and Performance (4 papers), Sexuality, Behavior, and Technology (3 papers), Knowledge Management and Sharing (2 papers), Digital Marketing and Social Media (2 papers), Open Source Software Innovations (2 papers) and Human-Automation Interaction and Safety (2 papers). The work is most often cited by research in Human-Computer Interaction (73 citations), Information Systems and Management (68 citations), Sociology and Political Science (428 citations), Communication (58 citations) and Developmental and Educational Psychology (75 citations). Guo Freeman has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Donghee Yvette Wohn, Caitlin McLaughlin, Dane Acena, Nathan J. McNeese, Rui Zhang, Cyrus K. Foroughi, Gregory J. Funke and Jamie C. Gorman. Their work appears in journals such as Computer Supported Cooperative Work (CSCW), Proceedings of the ACM on Human-Computer Interaction, Computers in Human Behavior, Games and Culture and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
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.