Yoko Motoda
About
In The Last Decade
Yoko Motoda
19 papers receiving 396 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Yoko Motoda Japan | 13 | 309 | 88 | 77 | 52 | 40 | 20 | 404 | ||
| Diluka Peiris United Kingdom | 11 | 229 0.7× | 111 1.3× | 74 1.0× | 25 0.5× | 52 1.3× | 16 | 447 | ||
| Cees M. J. Sagt Netherlands | 10 | 226 0.7× | 23 0.3× | 26 0.3× | 77 1.5× | 21 0.5× | 13 | 279 | ||
| Lauralynn Kourtz Canada | 8 | 298 1.0× | 34 0.4× | 56 0.7× | 13 0.3× | 10 0.3× | 9 | 367 | ||
| K K Gabbert United States | 11 | 323 1.0× | 66 0.8× | 61 0.8× | 8 0.2× | 64 1.6× | 11 | 463 | ||
| Gavin C. Barnard United States | 13 | 420 1.4× | 72 0.8× | 15 0.2× | 81 1.6× | 23 0.6× | 25 | 488 | ||
| Wilfrid Dieryck France | 14 | 282 0.9× | 40 0.5× | 56 0.7× | 33 0.6× | 4 0.1× | 24 | 464 | ||
| Waltraud Kaar Austria | 10 | 414 1.3× | 29 0.3× | 28 0.4× | 70 1.3× | 7 0.2× | 11 | 557 | ||
| Karen M. Kleman-Leyer United States | 9 | 247 0.8× | 64 0.7× | 72 0.9× | 41 0.8× | 4 0.1× | 10 | 396 | ||
| Heinrich Fischer Germany | 9 | 236 0.8× | 58 0.7× | 43 0.6× | 17 0.3× | 13 0.3× | 14 | 340 | ||
| Fabian B. H. Rehm Australia | 16 | 603 2.0× | 28 0.3× | 77 1.0× | 107 2.1× | 8 0.2× | 28 | 693 |
Countries citing papers authored by Yoko Motoda
This map shows the geographic impact of Yoko Motoda'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 Yoko Motoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoko Motoda more than expected).
Fields of papers citing papers by Yoko Motoda
This network shows the impact of papers produced by Yoko Motoda. 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 Yoko Motoda. The network helps show where Yoko Motoda may publish in the future.
Co-authorship network of co-authors of Yoko Motoda
This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Motoda. A scholar is included among the top collaborators of Yoko Motoda 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 Yoko Motoda. Yoko Motoda 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.