Azusa Takai
About
In The Last Decade
Azusa Takai
20 papers receiving 1.0k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Azusa Takai Japan | 14 | 760 | 606 | 227 | 194 | 174 | 20 | 1.0k | ||
| Bu‐Seo Choi South Korea | 6 | 443 0.6× | 470 0.8× | 283 1.2× | 139 0.7× | 188 1.1× | 6 | 753 | ||
| Sean Maksimuk United States | 6 | 480 0.6× | 430 0.7× | 235 1.0× | 204 1.1× | 184 1.1× | 6 | 759 | ||
| Lanqi He China | 14 | 592 0.8× | 781 1.3× | 396 1.7× | 213 1.1× | 83 0.5× | 24 | 1.1k | ||
| Yan Sang China | 15 | 422 0.6× | 617 1.0× | 435 1.9× | 100 0.5× | 88 0.5× | 20 | 819 | ||
| Cassandra K. Ostrom Canada | 8 | 538 0.7× | 612 1.0× | 485 2.1× | 112 0.6× | 184 1.1× | 8 | 1.0k | ||
| Mingbo Ruan China | 17 | 555 0.7× | 773 1.3× | 599 2.6× | 126 0.6× | 132 0.8× | 32 | 1.2k | ||
| Johannes Knossalla Germany | 11 | 587 0.8× | 560 0.9× | 385 1.7× | 138 0.7× | 192 1.1× | 14 | 1.0k | ||
| R. Nandini Devi India | 22 | 664 0.9× | 444 0.7× | 325 1.4× | 196 1.0× | 136 0.8× | 64 | 1.0k | ||
| Rathindranath Biswas India | 21 | 433 0.6× | 748 1.2× | 600 2.6× | 181 0.9× | 108 0.6× | 65 | 1.1k | ||
| Tai Cao China | 15 | 516 0.7× | 630 1.0× | 565 2.5× | 250 1.3× | 188 1.1× | 20 | 1.1k |
Countries citing papers authored by Azusa Takai
This map shows the geographic impact of Azusa Takai'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 Azusa Takai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azusa Takai more than expected).
Fields of papers citing papers by Azusa Takai
This network shows the impact of papers produced by Azusa Takai. 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 Azusa Takai. The network helps show where Azusa Takai may publish in the future.
Co-authorship network of co-authors of Azusa Takai
This figure shows the co-authorship network connecting the top 25 collaborators of Azusa Takai. A scholar is included among the top collaborators of Azusa Takai 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 Azusa Takai. Azusa Takai 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.