Mi‐Sook Won
About
In The Last Decade
Mi‐Sook Won
118 papers receiving 2.8k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mi‐Sook Won South Korea | 32 | 1.8k | 1.1k | 918 | 853 | 589 | 120 | 2.9k | ||
| C. Sekar India | 34 | 2.3k 1.3× | 1.1k 1.0× | 705 0.8× | 935 1.1× | 432 0.7× | 134 | 3.6k | ||
| Paweł Krysiński Poland | 28 | 1.2k 0.6× | 626 0.6× | 305 0.3× | 544 0.6× | 622 1.1× | 110 | 2.5k | ||
| Fabio Terzi Italy | 29 | 1.2k 0.6× | 653 0.6× | 435 0.5× | 598 0.7× | 277 0.5× | 78 | 2.0k | ||
| Marcin Opałło Poland | 34 | 2.7k 1.5× | 2.5k 2.4× | 984 1.1× | 903 1.1× | 419 0.7× | 189 | 4.3k | ||
| Emmanuel Maisonhaute France | 31 | 1.2k 0.7× | 1.1k 1.1× | 406 0.4× | 481 0.6× | 226 0.4× | 90 | 2.7k | ||
| Mounir Ben Ali Tunisia | 28 | 1.1k 0.6× | 551 0.5× | 568 0.6× | 258 0.3× | 603 1.0× | 87 | 2.2k | ||
| James Q. Chambers United States | 31 | 1.2k 0.6× | 1.4k 1.4× | 913 1.0× | 661 0.8× | 349 0.6× | 109 | 3.0k | ||
| Catherine Combellas France | 33 | 1.8k 1.0× | 1.5k 1.4× | 527 0.6× | 868 1.0× | 313 0.5× | 163 | 4.0k | ||
| Andrew J. Wain United Kingdom | 30 | 1.2k 0.7× | 1.1k 1.0× | 406 0.4× | 328 0.4× | 313 0.5× | 73 | 3.0k | ||
| Álvaro Colina Spain | 26 | 975 0.5× | 1.1k 1.1× | 410 0.4× | 614 0.7× | 206 0.3× | 115 | 2.0k |
Countries citing papers authored by Mi‐Sook Won
This map shows the geographic impact of Mi‐Sook Won'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 Mi‐Sook Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi‐Sook Won more than expected).
Fields of papers citing papers by Mi‐Sook Won
This network shows the impact of papers produced by Mi‐Sook Won. 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 Mi‐Sook Won. The network helps show where Mi‐Sook Won may publish in the future.
Co-authorship network of co-authors of Mi‐Sook Won
This figure shows the co-authorship network connecting the top 25 collaborators of Mi‐Sook Won. A scholar is included among the top collaborators of Mi‐Sook Won 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 Mi‐Sook Won. Mi‐Sook Won 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.