Keiko Sakata
About
In The Last Decade
Keiko Sakata
25 papers receiving 690 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Keiko Sakata Japan | 14 | 357 | 131 | 109 | 93 | 81 | 25 | 723 | ||
| June‐Ki Kim South Korea | 14 | 296 0.8× | 126 1.0× | 87 0.8× | 95 1.0× | 65 0.8× | 20 | 661 | ||
| Hsiu‐Maan Kuo Taiwan | 11 | 368 1.0× | 100 0.8× | 65 0.6× | 135 1.5× | 67 0.8× | 12 | 681 | ||
| Andrew Hitron United States | 7 | 385 1.1× | 94 0.7× | 140 1.3× | 129 1.4× | 124 1.5× | 8 | 751 | ||
| Kanokkarn Phromnoi Thailand | 13 | 329 0.9× | 148 1.1× | 123 1.1× | 98 1.1× | 57 0.7× | 18 | 767 | ||
| Ting‐Tsz Ou Taiwan | 18 | 442 1.2× | 117 0.9× | 172 1.6× | 84 0.9× | 58 0.7× | 24 | 915 | ||
| Mei-Due Yang Taiwan | 17 | 344 1.0× | 163 1.2× | 70 0.6× | 74 0.8× | 89 1.1× | 26 | 792 | ||
| Kwang-Hee Son South Korea | 15 | 485 1.4× | 134 1.0× | 140 1.3× | 95 1.0× | 71 0.9× | 20 | 978 | ||
| Tamilselvam Rajavel India | 10 | 421 1.2× | 122 0.9× | 106 1.0× | 93 1.0× | 82 1.0× | 11 | 793 | ||
| Jeong‐Mi Kim South Korea | 15 | 309 0.9× | 86 0.7× | 78 0.7× | 88 0.9× | 94 1.2× | 45 | 668 | ||
| Preethi Vetrivel South Korea | 17 | 422 1.2× | 135 1.0× | 110 1.0× | 113 1.2× | 65 0.8× | 33 | 791 |
Countries citing papers authored by Keiko Sakata
This map shows the geographic impact of Keiko Sakata'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 Keiko Sakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Sakata more than expected).
Fields of papers citing papers by Keiko Sakata
This network shows the impact of papers produced by Keiko Sakata. 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 Keiko Sakata. The network helps show where Keiko Sakata may publish in the future.
Co-authorship network of co-authors of Keiko Sakata
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Sakata. A scholar is included among the top collaborators of Keiko Sakata 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 Keiko Sakata. Keiko Sakata 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.