Won Kyung Moon
About
In The Last Decade
Won Kyung Moon
5 papers receiving 364 citations
Peers
Comparison fields: 5 of 39
- Inorganic Chemistry 252
- Materials Chemistry 200
- Mechanical Engineering 171
- Industrial and Manufacturing Engineering 116
- Biomedical Engineering 39
Countries citing papers authored by Won Kyung Moon
This map shows the geographic impact of Won Kyung 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 Won Kyung Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Kyung Moon more than expected).
Fields of papers citing papers by Won Kyung Moon
This network shows the impact of papers produced by Won Kyung 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 Won Kyung Moon. The network helps show where Won Kyung Moon may publish in the future.
Co-authorship network of co-authors of Won Kyung Moon
This figure shows the co-authorship network connecting the top 25 collaborators of Won Kyung Moon. A scholar is included among the top collaborators of Won Kyung 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 Won Kyung Moon. Won Kyung 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 | 7 | |
| 2 | 38 | |
| 3 | 228 | |
| 4 | 81 | |
| 5 | 18 |
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.