Seongkyu Song
About
In The Last Decade
Seongkyu Song
27 papers receiving 1.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Seongkyu Song South Korea | 12 | 805 | 710 | 411 | 214 | 178 | 31 | 1.2k | ||
| Ji Sik Kim South Korea | 20 | 521 0.6× | 711 1.0× | 345 0.8× | 104 0.5× | 56 0.3× | 45 | 1.1k | ||
| Sangah Gam United States | 13 | 438 0.5× | 345 0.5× | 309 0.8× | 118 0.6× | 539 3.0× | 16 | 983 | ||
| Hoon-Sik Kim United States | 12 | 1.0k 1.3× | 700 1.0× | 778 1.9× | 59 0.3× | 208 1.2× | 15 | 1.6k | ||
| Jaewook Jeong South Korea | 20 | 591 0.7× | 834 1.2× | 1.2k 2.8× | 64 0.3× | 314 1.8× | 78 | 1.7k | ||
| Wenqiang Wu China | 21 | 570 0.7× | 625 0.9× | 1.2k 2.8× | 86 0.4× | 459 2.6× | 47 | 1.7k | ||
| Gerhard Domann Germany | 10 | 732 0.9× | 265 0.4× | 349 0.8× | 63 0.3× | 144 0.8× | 24 | 1.0k | ||
| Miaoling Que China | 14 | 949 1.2× | 545 0.8× | 600 1.5× | 62 0.3× | 383 2.2× | 23 | 1.5k | ||
| Ji-Young Oh South Korea | 20 | 553 0.7× | 309 0.4× | 889 2.2× | 49 0.2× | 369 2.1× | 57 | 1.3k | ||
| Suk Man Cho South Korea | 21 | 1.1k 1.3× | 807 1.1× | 1.1k 2.6× | 68 0.3× | 659 3.7× | 32 | 2.1k | ||
| Kyohei Hisano Japan | 13 | 342 0.4× | 254 0.4× | 223 0.5× | 164 0.8× | 137 0.8× | 58 | 787 |
Countries citing papers authored by Seongkyu Song
This map shows the geographic impact of Seongkyu Song'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 Seongkyu Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seongkyu Song more than expected).
Fields of papers citing papers by Seongkyu Song
This network shows the impact of papers produced by Seongkyu Song. 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 Seongkyu Song. The network helps show where Seongkyu Song may publish in the future.
Co-authorship network of co-authors of Seongkyu Song
This figure shows the co-authorship network connecting the top 25 collaborators of Seongkyu Song. A scholar is included among the top collaborators of Seongkyu Song 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 Seongkyu Song. Seongkyu Song 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.