Maiko Naito
About
In The Last Decade
Maiko Naito
26 papers receiving 397 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maiko Naito Japan | 12 | 172 | 93 | 85 | 62 | 51 | 28 | 413 | ||
| Richard M. Haber Canada | 15 | 207 1.2× | 59 0.6× | 191 2.2× | 25 0.4× | 59 1.2× | 63 | 806 | ||
| Ichiro Masaki Japan | 8 | 70 0.4× | 62 0.7× | 344 4.0× | 57 0.9× | 40 0.8× | 10 | 623 | ||
| Vincenzo Panasiti Italy | 14 | 197 1.1× | 119 1.3× | 77 0.9× | 28 0.5× | 70 1.4× | 51 | 537 | ||
| W. A. Sheremata United States | 7 | 54 0.3× | 36 0.4× | 186 2.2× | 20 0.3× | 125 2.5× | 8 | 592 | ||
| Bruno Diaz Paredes Brazil | 12 | 101 0.6× | 30 0.3× | 168 2.0× | 31 0.5× | 74 1.5× | 23 | 521 | ||
| Laura Beth Payne United States | 13 | 159 0.9× | 42 0.5× | 245 2.9× | 48 0.8× | 73 1.4× | 20 | 586 | ||
| Yuan Lü China | 11 | 158 0.9× | 22 0.2× | 119 1.4× | 55 0.9× | 42 0.8× | 40 | 579 | ||
| Adi Reches Israel | 20 | 80 0.5× | 107 1.2× | 256 3.0× | 44 0.7× | 203 4.0× | 48 | 854 | ||
| Sérgio A. P. Novis Brazil | 12 | 77 0.4× | 22 0.2× | 35 0.4× | 21 0.3× | 69 1.4× | 42 | 388 |
Countries citing papers authored by Maiko Naito
This map shows the geographic impact of Maiko Naito'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 Maiko Naito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maiko Naito more than expected).
Fields of papers citing papers by Maiko Naito
This network shows the impact of papers produced by Maiko Naito. 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 Maiko Naito. The network helps show where Maiko Naito may publish in the future.
Co-authorship network of co-authors of Maiko Naito
This figure shows the co-authorship network connecting the top 25 collaborators of Maiko Naito. A scholar is included among the top collaborators of Maiko Naito 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 Maiko Naito. Maiko Naito 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.