Maiko Kakimoto
About
In The Last Decade
Maiko Kakimoto
8 papers receiving 910 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maiko Kakimoto Japan | 8 | 357 | 294 | 285 | 183 | 141 | 9 | 935 | ||
| Toshiyo Sonta Japan | 11 | 345 1.0× | 396 1.3× | 263 0.9× | 234 1.3× | 120 0.9× | 13 | 1.2k | ||
| Sih Min Tan Australia | 17 | 547 1.5× | 207 0.7× | 316 1.1× | 183 1.0× | 152 1.1× | 32 | 1.2k | ||
| Hirotaka Tsubouchi Japan | 8 | 232 0.6× | 269 0.9× | 164 0.6× | 208 1.1× | 98 0.7× | 9 | 827 | ||
| Naotaka Sekiguchi Japan | 10 | 250 0.7× | 285 1.0× | 164 0.6× | 139 0.8× | 91 0.6× | 22 | 803 | ||
| Josefa Pete Australia | 7 | 329 0.9× | 118 0.4× | 351 1.2× | 197 1.1× | 111 0.8× | 9 | 891 | ||
| Tomoko Matsuo Japan | 8 | 253 0.7× | 132 0.4× | 159 0.6× | 130 0.7× | 105 0.7× | 8 | 671 | ||
| Gautham Yepuri United States | 11 | 292 0.8× | 297 1.0× | 130 0.5× | 118 0.6× | 177 1.3× | 20 | 974 | ||
| Naoichi Sato Japan | 7 | 203 0.6× | 198 0.7× | 112 0.4× | 114 0.6× | 94 0.7× | 11 | 625 | ||
| Haijiang Wu China | 18 | 612 1.7× | 162 0.6× | 126 0.4× | 95 0.5× | 114 0.8× | 27 | 1.1k | ||
| C Sui China | 3 | 281 0.8× | 247 0.8× | 119 0.4× | 148 0.8× | 135 1.0× | 4 | 711 |
Countries citing papers authored by Maiko Kakimoto
This map shows the geographic impact of Maiko Kakimoto'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 Maiko Kakimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maiko Kakimoto more than expected).
Fields of papers citing papers by Maiko Kakimoto
This network shows the impact of papers produced by Maiko Kakimoto. 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 Maiko Kakimoto. The network helps show where Maiko Kakimoto may publish in the future.
Co-authorship network of co-authors of Maiko Kakimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Maiko Kakimoto. A scholar is included among the top collaborators of Maiko Kakimoto 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 Maiko Kakimoto. Maiko Kakimoto 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.