Dae‐Wi Yoon
About
In The Last Decade
Dae‐Wi Yoon
19 papers receiving 683 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‐Wi Yoon South Korea | 12 | 490 | 435 | 352 | 112 | 81 | 19 | 686 | ||
| Michael D. Lankshear United Kingdom | 10 | 526 1.1× | 332 0.8× | 470 1.3× | 136 1.2× | 108 1.3× | 10 | 687 | ||
| Grazia Cafeo Italy | 18 | 536 1.1× | 486 1.1× | 508 1.4× | 121 1.1× | 78 1.0× | 27 | 805 | ||
| Matthew S. Vickers United Kingdom | 6 | 276 0.6× | 284 0.7× | 366 1.0× | 101 0.9× | 77 1.0× | 6 | 601 | ||
| Willem Verboom Netherlands | 11 | 300 0.6× | 195 0.4× | 264 0.8× | 83 0.7× | 72 0.9× | 17 | 558 | ||
| J.‐D. VAN LOON Netherlands | 7 | 436 0.9× | 314 0.7× | 594 1.7× | 136 1.2× | 114 1.4× | 8 | 745 | ||
| Andrew R. Graydon United Kingdom | 10 | 404 0.8× | 248 0.6× | 264 0.8× | 104 0.9× | 41 0.5× | 12 | 603 | ||
| Fanfan Du China | 11 | 422 0.9× | 422 1.0× | 180 0.5× | 167 1.5× | 96 1.2× | 12 | 709 | ||
| Qian‐Shou Zong China | 15 | 393 0.8× | 386 0.9× | 592 1.7× | 91 0.8× | 54 0.7× | 34 | 841 | ||
| Fabio Giuseppe Gulino Italy | 12 | 421 0.9× | 251 0.6× | 461 1.3× | 95 0.8× | 163 2.0× | 16 | 633 | ||
| Purnandhu Bose India | 12 | 328 0.7× | 381 0.9× | 165 0.5× | 54 0.5× | 60 0.7× | 20 | 547 |
Countries citing papers authored by Dae‐Wi Yoon
This map shows the geographic impact of Dae‐Wi Yoon'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‐Wi Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae‐Wi Yoon more than expected).
Fields of papers citing papers by Dae‐Wi Yoon
This network shows the impact of papers produced by Dae‐Wi Yoon. 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‐Wi Yoon. The network helps show where Dae‐Wi Yoon may publish in the future.
Co-authorship network of co-authors of Dae‐Wi Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Wi Yoon. A scholar is included among the top collaborators of Dae‐Wi Yoon 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‐Wi Yoon. Dae‐Wi Yoon 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.