Eakhwan Song
About
In The Last Decade
Eakhwan Song
53 papers receiving 1.3k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Eakhwan Song South Korea | 16 | 1.2k | 170 | 129 | 83 | 76 | 59 | 1.3k | ||
| Johannes A. Russer Germany | 18 | 1.0k 0.9× | 295 1.7× | 52 0.4× | 122 1.5× | 25 0.3× | 168 | 1.2k | ||
| Ren Ren China | 20 | 910 0.8× | 94 0.6× | 22 0.2× | 65 0.8× | 28 0.4× | 94 | 1.2k | ||
| Toru Takahashi Japan | 15 | 447 0.4× | 318 1.9× | 130 1.0× | 49 0.6× | 35 0.5× | 79 | 694 | ||
| Yuan Yao China | 21 | 1.5k 1.3× | 1.2k 7.0× | 84 0.7× | 210 2.5× | 22 0.3× | 251 | 1.8k | ||
| Yiqiang Yu Canada | 16 | 915 0.8× | 316 1.9× | 61 0.5× | 91 1.1× | 122 1.6× | 64 | 1.1k | ||
| Riccardo Torchio Italy | 15 | 427 0.4× | 98 0.6× | 51 0.4× | 33 0.4× | 45 0.6× | 65 | 571 | ||
| Siegfried Janson United States | 16 | 374 0.3× | 436 2.6× | 77 0.6× | 94 1.1× | 8 0.1× | 59 | 819 | ||
| A.C. Marvin United Kingdom | 20 | 1.6k 1.4× | 608 3.6× | 73 0.6× | 214 2.6× | 29 0.4× | 129 | 1.8k | ||
| Noh‐Hoon Myung South Korea | 18 | 583 0.5× | 538 3.2× | 31 0.2× | 125 1.5× | 32 0.4× | 98 | 890 | ||
| Huapeng Zhao China | 16 | 558 0.5× | 308 1.8× | 23 0.2× | 102 1.2× | 20 0.3× | 110 | 698 |
Countries citing papers authored by Eakhwan Song
This map shows the geographic impact of Eakhwan 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 Eakhwan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eakhwan Song more than expected).
Fields of papers citing papers by Eakhwan Song
This network shows the impact of papers produced by Eakhwan 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 Eakhwan Song. The network helps show where Eakhwan Song may publish in the future.
Co-authorship network of co-authors of Eakhwan Song
This figure shows the co-authorship network connecting the top 25 collaborators of Eakhwan Song. A scholar is included among the top collaborators of Eakhwan 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 Eakhwan Song. Eakhwan 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.