Keishi Tada
About
In The Last Decade
Keishi Tada
18 papers receiving 541 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Keishi Tada Japan | 12 | 148 | 130 | 120 | 95 | 89 | 21 | 559 | ||
| Sang Nam Lee South Korea | 15 | 93 0.6× | 213 1.6× | 28 0.2× | 62 0.7× | 20 0.2× | 38 | 751 | ||
| Shota Endo Japan | 16 | 68 0.5× | 226 1.7× | 20 0.2× | 88 0.9× | 115 1.3× | 49 | 919 | ||
| Yoshihiro Miura Japan | 13 | 18 0.1× | 128 1.0× | 12 0.1× | 34 0.4× | 94 1.1× | 32 | 589 | ||
| Sangmoon Lee South Korea | 11 | 169 1.1× | 130 1.0× | 35 0.3× | 61 0.6× | 61 0.7× | 28 | 478 | ||
| Tizong Miao United Kingdom | 13 | 50 0.3× | 175 1.3× | 9 0.1× | 24 0.3× | 147 1.7× | 25 | 612 | ||
| Maryam Kherad Pezhouh United States | 14 | 71 0.5× | 84 0.6× | 47 0.4× | 17 0.2× | 61 0.7× | 31 | 721 | ||
| Ruzhi Zhang China | 12 | 32 0.2× | 103 0.8× | 10 0.1× | 79 0.8× | 15 0.2× | 92 | 591 | ||
| Petra Breiden Germany | 10 | 38 0.3× | 238 1.8× | 25 0.2× | 8 0.1× | 121 1.4× | 11 | 807 | ||
| Xinyi Yang China | 13 | 61 0.4× | 114 0.9× | 10 0.1× | 57 0.6× | 15 0.2× | 43 | 481 | ||
| Anthony Conway United States | 12 | 52 0.4× | 565 4.3× | 27 0.2× | 25 0.3× | 148 1.7× | 17 | 1.1k |
Countries citing papers authored by Keishi Tada
This map shows the geographic impact of Keishi Tada'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 Keishi Tada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keishi Tada more than expected).
Fields of papers citing papers by Keishi Tada
This network shows the impact of papers produced by Keishi Tada. 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 Keishi Tada. The network helps show where Keishi Tada may publish in the future.
Co-authorship network of co-authors of Keishi Tada
This figure shows the co-authorship network connecting the top 25 collaborators of Keishi Tada. A scholar is included among the top collaborators of Keishi Tada 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 Keishi Tada. Keishi Tada 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.