Ai Yoto
About
In The Last Decade
Ai Yoto
13 papers receiving 403 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ai Yoto Japan | 9 | 108 | 99 | 74 | 66 | 63 | 14 | 420 | ||
| Emma Fluck United Kingdom | 13 | 121 1.1× | 100 1.0× | 22 0.3× | 19 0.3× | 87 1.4× | 20 | 524 | ||
| Blandina Bernal‐Morales Mexico | 13 | 19 0.2× | 87 0.9× | 40 0.5× | 50 0.8× | 58 0.9× | 33 | 545 | ||
| Susan M. Brasser United States | 17 | 100 0.9× | 113 1.1× | 160 2.2× | 7 0.1× | 140 2.2× | 26 | 778 | ||
| Seong Kyu Han South Korea | 13 | 29 0.3× | 118 1.2× | 33 0.4× | 24 0.4× | 111 1.8× | 56 | 577 | ||
| Katsumi Umeno Japan | 15 | 25 0.2× | 66 0.7× | 61 0.8× | 12 0.2× | 52 0.8× | 21 | 725 | ||
| Teruhisa Komori Japan | 13 | 9 0.1× | 64 0.6× | 147 2.0× | 39 0.6× | 64 1.0× | 33 | 603 | ||
| A. Privat France | 12 | 64 0.6× | 164 1.7× | 19 0.3× | 33 0.5× | 117 1.9× | 26 | 596 | ||
| Mohammad Reza Afarinesh Iran | 13 | 18 0.2× | 49 0.5× | 26 0.4× | 26 0.4× | 90 1.4× | 67 | 506 | ||
| Giuditta Gambino Italy | 13 | 17 0.2× | 74 0.7× | 27 0.4× | 19 0.3× | 105 1.7× | 30 | 510 | ||
| Suzanne J.L. Einöther Netherlands | 7 | 88 0.8× | 28 0.3× | 59 0.8× | 7 0.1× | 19 0.3× | 8 | 320 |
Countries citing papers authored by Ai Yoto
This map shows the geographic impact of Ai Yoto'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 Ai Yoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Yoto more than expected).
Fields of papers citing papers by Ai Yoto
This network shows the impact of papers produced by Ai Yoto. 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 Ai Yoto. The network helps show where Ai Yoto may publish in the future.
Co-authorship network of co-authors of Ai Yoto
This figure shows the co-authorship network connecting the top 25 collaborators of Ai Yoto. A scholar is included among the top collaborators of Ai Yoto 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 Ai Yoto. Ai Yoto 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.