Minsu Park
- Social Psychology top 10%
- Artificial Intelligence
- Applied Psychology top 10%
- Sociology and Political Science
- Experimental and Cognitive Psychology
- Co-authors
- Meeyoung ChaChiyoung ChaDavid W. McDonaldJaram ParkMichael MacyYoung Min BaekMichael W. MacyHyunsung Kim
- Topics
- Social Media and Politics (3 papers)Innovation in Digital Healthcare Systems (3 papers)Mental Health via Writing (3 papers)
- Journals
- PLoS ONEScience AdvancesPoetics
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Minsu Park
14 papers receiving 185 citations
Peers
Comparison fields: 5 of 65
- Social Psychology 123
- Artificial Intelligence 82
- Applied Psychology 64
- Sociology and Political Science 47
- Experimental and Cognitive Psychology 38
Countries citing papers authored by Minsu Park
This map shows the geographic impact of Minsu 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 Minsu Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minsu Park more than expected).
Fields of papers citing papers by Minsu Park
This network shows the impact of papers produced by Minsu 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 Minsu Park. The network helps show where Minsu Park may publish in the future.
Co-authorship network of co-authors of Minsu Park
This figure shows the co-authorship network connecting the top 25 collaborators of Minsu Park. A scholar is included among the top collaborators of Minsu Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Minsu Park. Minsu Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 31 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | Exploring Healthcare Opportunities in Online Social Networks: Depressive Moods of Users Captured in Twitter | 1 |
| 15 | Depressive Moods of Users Portrayed in Twitter | 114 |
| 16 | A Study on development of Road Design Driver Characteristics based on Physio-Physiological Performance | 1 |
| 17 | An Expert Recommendation System using Ontology-based Social Network Analysis | 1 |
About Minsu Park
Minsu Park is a scholar working on Health Information Management, Communication and Information Systems, having authored 17 papers that have together received 204 indexed citations. Recurring topics across this work include Social Media and Politics (3 papers), Innovation in Digital Healthcare Systems (3 papers) and Mental Health via Writing (3 papers). The work is most often cited by research in Applied Psychology (64 citations), Social Psychology (123 citations) and Experimental and Cognitive Psychology (38 citations). Minsu Park has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Meeyoung Cha, Chiyoung Cha, David W. McDonald, Jaram Park, Michael Macy, Young Min Baek, Michael W. Macy, Hyunsung Kim, Sung-Woon Lee and Amaç Herdağdelen. Their work appears in journals such as PLoS ONE, Science Advances and Poetics.
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.