Jae Yun Moon
- Sociology and Political Science top 5%
- Communication top 1%
- Computer Science Applications top 0.5%
- Information Systems and Management top 1%
- Information Systems top 5%
- Topics
- Knowledge Management and Sharing (8 papers)Open Source Software Innovations (6 papers)Technology Adoption and User Behaviour (6 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Jae Yun Moon
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Sociology and Political Science 476
- Communication 398
- Computer Science Applications 380
- Information Systems and Management 326
- Information Systems 233
Countries citing papers authored by Jae Yun Moon
This map shows the geographic impact of Jae Yun Moon'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 Jae Yun Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae Yun Moon more than expected).
Fields of papers citing papers by Jae Yun Moon
This network shows the impact of papers produced by Jae Yun Moon. 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 Jae Yun Moon. The network helps show where Jae Yun Moon may publish in the future.
Co-authorship network of co-authors of Jae Yun Moon
This figure shows the co-authorship network connecting the top 25 collaborators of Jae Yun Moon. A scholar is included among the top collaborators of Jae Yun Moon 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 Jae Yun Moon. Jae Yun Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | Reading Minds from Reading Patterns: A Field Experiment on the Effectiveness of Consumption-based Targeting in E-BookMarkets | 1 |
| 4 | 23 | |
| 5 | 25 | |
| 6 | Understanding the Internet of Things (IoT) through Analysis of News and Online Media | 1 |
| 7 | 4 | |
| 8 | 9 | |
| 9 | UNDERSTANDING CITIZEN PARTICIPATION IN GOVERNMENTAL SOCIAL MEDIA: A CASE STUDY OF THE INDONESIAN REGIONAL POLICE | 3 |
| 10 | Does Age Matter in Mobile User Experience? Impact of Age on Relative Importance of Antecedents of Mobile User Experience | 1 |
| 11 | 73 | |
| 12 | 5 | |
| 13 | 211 | |
| 14 | 5 | |
| 15 | Diffusion of Open Access: Why are some disciplines more successful than others? | 1 |
| 16 | 2 | |
| 17 | Identification processes in distributed electronic groups: a study of voluntary technical support groups on the net | 1 |
| 18 | The Internet as an Agent of Political Change: The Case of "Rohsamo" in the South Korean Presidential Campaign of 2002 | 6 |
| 19 | 15 | |
| 20 | 202 |
About Jae Yun Moon
Jae Yun Moon is a scholar working on Communication, Information Systems and Management and Computer Science Applications, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Knowledge Management and Sharing (8 papers), Open Source Software Innovations (6 papers) and Technology Adoption and User Behaviour (6 papers). The work is most often cited by research in Computer Science Applications (380 citations), Communication (398 citations) and Information Systems and Management (326 citations). Jae Yun Moon has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Lee Sproull, Jinwoo Kim, Jungpil Hahn, Chen Zhang, Jinwoo Kim, Jung-Won Lee, Se‐Joon Hong, Jinwoo Kim, Wonseok Oh and Tai Gyu Kim. Their work appears in journals such as Information & Management, Information Systems Research and Decision Support Systems.
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.