Daeho Kwon
About
In The Last Decade
Daeho Kwon
44 papers receiving 672 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Daeho Kwon South Korea | 15 | 315 | 171 | 99 | 88 | 65 | 47 | 682 | ||
| Sunil K. Sukumaran Singapore | 11 | 339 1.1× | 77 0.5× | 62 0.6× | 71 0.8× | 52 0.8× | 15 | 573 | ||
| Lirong Wang China | 16 | 508 1.6× | 130 0.8× | 124 1.3× | 83 0.9× | 78 1.2× | 31 | 963 | ||
| Soh Yamamoto Japan | 16 | 472 1.5× | 130 0.8× | 36 0.4× | 242 2.8× | 41 0.6× | 43 | 969 | ||
| Valentina Gelfanova United States | 17 | 653 2.1× | 209 1.2× | 24 0.2× | 63 0.7× | 35 0.5× | 28 | 1.3k | ||
| Heather S. Smallwood United States | 18 | 493 1.6× | 316 1.8× | 59 0.6× | 182 2.1× | 48 0.7× | 29 | 1.0k | ||
| Antony Cougnoux United States | 18 | 826 2.6× | 117 0.7× | 146 1.5× | 199 2.3× | 74 1.1× | 40 | 1.4k | ||
| Roger Randall United Kingdom | 17 | 503 1.6× | 278 1.6× | 135 1.4× | 35 0.4× | 24 0.4× | 25 | 1.1k | ||
| Pablo Alarcón Chile | 19 | 270 0.9× | 384 2.2× | 24 0.2× | 105 1.2× | 83 1.3× | 48 | 973 | ||
| Gregg R. Strohmeier United States | 11 | 298 0.9× | 191 1.1× | 33 0.3× | 117 1.3× | 16 0.2× | 11 | 739 | ||
| Zee-Won Lee South Korea | 15 | 495 1.6× | 280 1.6× | 112 1.1× | 380 4.3× | 56 0.9× | 20 | 1.1k |
Countries citing papers authored by Daeho Kwon
This map shows the geographic impact of Daeho Kwon'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 Daeho Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daeho Kwon more than expected).
Fields of papers citing papers by Daeho Kwon
This network shows the impact of papers produced by Daeho Kwon. 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 Daeho Kwon. The network helps show where Daeho Kwon may publish in the future.
Co-authorship network of co-authors of Daeho Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Daeho Kwon. A scholar is included among the top collaborators of Daeho Kwon 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 Daeho Kwon. Daeho Kwon 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.