Mai Akakabe
About
In The Last Decade
Mai Akakabe
25 papers receiving 424 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mai Akakabe Japan | 13 | 141 | 131 | 95 | 76 | 72 | 26 | 431 | ||
| Mark Dörr Germany | 13 | 530 3.8× | 89 0.7× | 31 0.3× | 55 0.7× | 32 0.4× | 41 | 703 | ||
| MP Hartshorn New Zealand | 11 | 119 0.8× | 336 2.6× | 64 0.7× | 16 0.2× | 62 0.9× | 103 | 524 | ||
| Jovan Livada United States | 7 | 163 1.2× | 53 0.4× | 30 0.3× | 88 1.2× | 5 0.1× | 11 | 469 | ||
| Claude Delseth United States | 11 | 95 0.7× | 159 1.2× | 147 1.5× | 7 0.1× | 130 1.8× | 14 | 446 | ||
| A.L. Metzger United States | 7 | 294 2.1× | 55 0.4× | 36 0.4× | 82 1.1× | 10 0.1× | 7 | 530 | ||
| Ram Prasad Bora United States | 13 | 352 2.5× | 56 0.4× | 46 0.5× | 18 0.2× | 16 0.2× | 15 | 484 | ||
| V.G. Vasiliev Russia | 13 | 113 0.8× | 143 1.1× | 61 0.6× | 10 0.1× | 21 0.3× | 23 | 486 | ||
| Minh Tan Phan Viet Canada | 11 | 102 0.7× | 133 1.0× | 51 0.5× | 25 0.3× | 31 0.4× | 16 | 371 | ||
| Mitch Nambu United States | 11 | 148 1.0× | 542 4.1× | 34 0.4× | 22 0.3× | 87 1.2× | 13 | 671 | ||
| Patrick J. Almhjell United States | 9 | 321 2.3× | 112 0.9× | 14 0.1× | 10 0.1× | 21 0.3× | 9 | 392 |
Countries citing papers authored by Mai Akakabe
This map shows the geographic impact of Mai Akakabe'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 Mai Akakabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai Akakabe more than expected).
Fields of papers citing papers by Mai Akakabe
This network shows the impact of papers produced by Mai Akakabe. 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 Mai Akakabe. The network helps show where Mai Akakabe may publish in the future.
Co-authorship network of co-authors of Mai Akakabe
This figure shows the co-authorship network connecting the top 25 collaborators of Mai Akakabe. A scholar is included among the top collaborators of Mai Akakabe 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 Mai Akakabe. Mai Akakabe 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.