Mayumi Maekawa
About
In The Last Decade
Mayumi Maekawa
10 papers receiving 499 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mayumi Maekawa Japan | 6 | 361 | 176 | 160 | 115 | 96 | 10 | 545 | ||
| M. Hossein Yazdi Iran | 15 | 321 0.9× | 520 3.0× | 353 2.2× | 66 0.6× | 54 0.6× | 46 | 855 | ||
| Fábio Luiz Buranelo Toral Brazil | 14 | 157 0.4× | 341 1.9× | 202 1.3× | 46 0.4× | 10 0.1× | 71 | 527 | ||
| Ricardo Frederico Euclydes Brazil | 14 | 392 1.1× | 550 3.1× | 339 2.1× | 49 0.4× | 9 0.1× | 104 | 809 | ||
| M.J.M. Rutten Netherlands | 11 | 172 0.5× | 452 2.6× | 235 1.5× | 340 3.0× | 30 0.3× | 13 | 807 | ||
| T. Szwaczkowski Poland | 16 | 167 0.5× | 548 3.1× | 456 2.9× | 27 0.2× | 13 0.1× | 108 | 833 | ||
| Martinho de Almeida e Silva Brazil | 15 | 111 0.3× | 253 1.4× | 412 2.6× | 204 1.8× | 63 0.7× | 66 | 699 | ||
| J. O. L. King United Kingdom | 11 | 170 0.5× | 137 0.8× | 134 0.8× | 139 1.2× | 44 0.5× | 57 | 451 | ||
| Irineu Umberto Packer Brazil | 18 | 449 1.2× | 646 3.7× | 365 2.3× | 16 0.1× | 9 0.1× | 71 | 942 | ||
| D. G. Ely United States | 17 | 486 1.3× | 260 1.5× | 500 3.1× | 34 0.3× | 8 0.1× | 59 | 891 | ||
| Marlos Oliveira Porto Brazil | 12 | 225 0.6× | 91 0.5× | 100 0.6× | 61 0.5× | 18 0.2× | 49 | 345 |
Countries citing papers authored by Mayumi Maekawa
This map shows the geographic impact of Mayumi Maekawa'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 Mayumi Maekawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayumi Maekawa more than expected).
Fields of papers citing papers by Mayumi Maekawa
This network shows the impact of papers produced by Mayumi Maekawa. 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 Mayumi Maekawa. The network helps show where Mayumi Maekawa may publish in the future.
Co-authorship network of co-authors of Mayumi Maekawa
This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Maekawa. A scholar is included among the top collaborators of Mayumi Maekawa 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 Mayumi Maekawa. Mayumi Maekawa 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.