Miyeon Song
- Public Administration top 2%
- Sociology and Political Science top 10%
- Political Science and International Relations top 5%
- Organizational Behavior and Human Resource Management top 10%
- Economics and Econometrics
- Co-authors
- Kenneth J. MeierAnna A. AmirkhanyanSeung‐Ho AnKelsey ShoubKatelyn E. StaufferYoung Han ChunJohn Polga–HecimovichSusan M. Miller
- Topics
- Public Policy and Administration Research (14 papers)Nonprofit Sector and Volunteering (5 papers)Electoral Systems and Political Participation (4 papers)
- Journals
- American Journal of Political SciencePublic Administration ReviewJournal of Public Administration Research and Theory
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Miyeon Song
26 papers receiving 408 citations
Peers
Comparison fields: 5 of 63
- Public Administration 183
- Sociology and Political Science 157
- Political Science and International Relations 133
- Organizational Behavior and Human Resource Management 79
- Economics and Econometrics 60
Countries citing papers authored by Miyeon Song
This map shows the geographic impact of Miyeon Song'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 Miyeon Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miyeon Song more than expected).
Fields of papers citing papers by Miyeon Song
This network shows the impact of papers produced by Miyeon Song. 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 Miyeon Song. The network helps show where Miyeon Song may publish in the future.
Co-authorship network of co-authors of Miyeon Song
This figure shows the co-authorship network connecting the top 25 collaborators of Miyeon Song. A scholar is included among the top collaborators of Miyeon Song 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 Miyeon Song. Miyeon Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 16 | |
| 8 | 5 | |
| 9 | 37 | |
| 10 | 27 | |
| 11 | 21 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 10 | |
| 16 | 42 | |
| 17 | 68 | |
| 18 | 0 | |
| 19 | 17 | |
| 20 | 11 |
About Miyeon Song
Miyeon Song is a scholar working on Public Administration, Leadership and Management and Gender Studies, having authored 29 papers that have together received 432 indexed citations. Recurring topics across this work include Public Policy and Administration Research (14 papers), Nonprofit Sector and Volunteering (5 papers) and Electoral Systems and Political Participation (4 papers). The work is most often cited by research in Public Administration (183 citations), Organizational Behavior and Human Resource Management (79 citations) and Gender Studies (60 citations). Miyeon Song has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Kenneth J. Meier, Anna A. Amirkhanyan, Seung‐Ho An, Kelsey Shoub, Katelyn E. Stauffer, Young Han Chun, John Polga–Hecimovich, Susan M. Miller, Lael R. Keiser and Nathan Favero. Their work appears in journals such as American Journal of Political Science, Public Administration Review and Journal of Public Administration Research and Theory.
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.