Dae Won Moon
About
In The Last Decade
Dae Won Moon
187 papers receiving 3.4k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Dae Won Moon South Korea | 32 | 1.4k | 1.3k | 747 | 723 | 608 | 190 | 3.5k | ||
| Daniel J. Graham United States | 29 | 1.5k 1.1× | 1.2k 0.9× | 253 0.3× | 868 1.2× | 871 1.4× | 98 | 4.2k | ||
| P. Maddalena Italy | 35 | 1.5k 1.1× | 2.0k 1.5× | 838 1.1× | 158 0.2× | 1.1k 1.9× | 203 | 4.6k | ||
| Tae Geol Lee South Korea | 34 | 833 0.6× | 1.3k 1.0× | 249 0.3× | 483 0.7× | 1.5k 2.5× | 211 | 4.9k | ||
| Michio Niwano Japan | 35 | 2.4k 1.8× | 1.6k 1.2× | 715 1.0× | 259 0.4× | 998 1.6× | 209 | 4.2k | ||
| Akira Yabe Japan | 30 | 616 0.4× | 691 0.5× | 253 0.3× | 843 1.2× | 694 1.1× | 188 | 2.9k | ||
| Hans Riegler Germany | 30 | 834 0.6× | 694 0.5× | 688 0.9× | 433 0.6× | 741 1.2× | 89 | 2.8k | ||
| Lane A. Baker United States | 40 | 2.2k 1.6× | 992 0.8× | 768 1.0× | 407 0.6× | 3.0k 4.9× | 144 | 6.2k | ||
| André Beyer Germany | 32 | 1.3k 0.9× | 1.6k 1.2× | 501 0.7× | 296 0.4× | 1.1k 1.8× | 119 | 3.4k | ||
| Kislon Voı̈tchovsky United Kingdom | 30 | 673 0.5× | 1.0k 0.8× | 927 1.2× | 81 0.1× | 718 1.2× | 79 | 3.6k | ||
| Anke Krueger Germany | 31 | 673 0.5× | 4.2k 3.2× | 1.6k 2.1× | 295 0.4× | 1.3k 2.1× | 80 | 5.3k |
Countries citing papers authored by Dae Won Moon
This map shows the geographic impact of Dae Won 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 Dae Won Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae Won Moon more than expected).
Fields of papers citing papers by Dae Won Moon
This network shows the impact of papers produced by Dae Won 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 Dae Won Moon. The network helps show where Dae Won Moon may publish in the future.
Co-authorship network of co-authors of Dae Won Moon
This figure shows the co-authorship network connecting the top 25 collaborators of Dae Won Moon. A scholar is included among the top collaborators of Dae Won 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 Dae Won Moon. Dae Won Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.