Sae Am Song
About
In The Last Decade
Sae Am Song
28 papers receiving 227 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Sae Am Song South Korea | 9 | 115 | 60 | 55 | 44 | 41 | 32 | 230 | ||
| Dimitra Stafylaki Greece | 9 | 111 1.0× | 48 0.8× | 97 1.8× | 79 1.8× | 18 0.4× | 31 | 271 | ||
| Joana Alves Portugal | 8 | 72 0.6× | 32 0.5× | 83 1.5× | 74 1.7× | 32 0.8× | 34 | 278 | ||
| Hiroki Namikawa Japan | 12 | 103 0.9× | 60 1.0× | 124 2.3× | 95 2.2× | 49 1.2× | 38 | 315 | ||
| Ramya Iyadurai India | 11 | 51 0.4× | 25 0.4× | 56 1.0× | 75 1.7× | 31 0.8× | 47 | 282 | ||
| Chae Hoon Lee South Korea | 9 | 104 0.9× | 42 0.7× | 144 2.6× | 79 1.8× | 52 1.3× | 26 | 291 | ||
| Viktoria Eirini Mavromanolaki Greece | 9 | 169 1.5× | 44 0.7× | 129 2.3× | 77 1.8× | 26 0.6× | 28 | 341 | ||
| Morihiro Iwata Japan | 11 | 122 1.1× | 56 0.9× | 70 1.3× | 100 2.3× | 54 1.3× | 17 | 317 | ||
| T N Jang Taiwan | 7 | 80 0.7× | 16 0.3× | 138 2.5× | 50 1.1× | 140 3.4× | 12 | 324 | ||
| Yoko Takayama Japan | 9 | 100 0.9× | 49 0.8× | 128 2.3× | 107 2.4× | 80 2.0× | 42 | 348 | ||
| Antonia M.O. Machado Brazil | 11 | 86 0.7× | 79 1.3× | 83 1.5× | 45 1.0× | 38 0.9× | 18 | 250 |
Countries citing papers authored by Sae Am Song
This map shows the geographic impact of Sae Am 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 Sae Am Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sae Am Song more than expected).
Fields of papers citing papers by Sae Am Song
This network shows the impact of papers produced by Sae Am 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 Sae Am Song. The network helps show where Sae Am Song may publish in the future.
Co-authorship network of co-authors of Sae Am Song
This figure shows the co-authorship network connecting the top 25 collaborators of Sae Am Song. A scholar is included among the top collaborators of Sae Am 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 Sae Am Song. Sae Am 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.