Masao Maeyama
About
In The Last Decade
Masao Maeyama
57 papers receiving 508 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Masao Maeyama Japan | 13 | 164 | 117 | 114 | 112 | 96 | 58 | 539 | ||
| John A. McCoshen Canada | 16 | 191 1.2× | 181 1.5× | 127 1.1× | 150 1.3× | 227 2.4× | 37 | 680 | ||
| M Mikuni Japan | 13 | 196 1.2× | 52 0.4× | 98 0.9× | 158 1.4× | 189 2.0× | 29 | 565 | ||
| P. E. Lebech Denmark | 14 | 170 1.0× | 102 0.9× | 47 0.4× | 39 0.3× | 155 1.6× | 26 | 438 | ||
| Guy E. Ringler United States | 11 | 162 1.0× | 183 1.6× | 170 1.5× | 130 1.2× | 203 2.1× | 19 | 657 | ||
| Jeremy V. Kredentser Canada | 9 | 257 1.6× | 39 0.3× | 139 1.2× | 102 0.9× | 161 1.7× | 13 | 460 | ||
| Lingqing Hu China | 15 | 139 0.8× | 208 1.8× | 99 0.9× | 96 0.9× | 93 1.0× | 24 | 577 | ||
| Letizia Galleri Italy | 12 | 137 0.8× | 180 1.5× | 101 0.9× | 148 1.3× | 45 0.5× | 17 | 582 | ||
| Ana Cerveró Spain | 13 | 337 2.1× | 97 0.8× | 138 1.2× | 282 2.5× | 175 1.8× | 17 | 729 | ||
| H. Welter Germany | 19 | 262 1.6× | 226 1.9× | 46 0.4× | 198 1.8× | 128 1.3× | 48 | 771 | ||
| Greenblatt Rb United States | 13 | 388 2.4× | 100 0.9× | 88 0.8× | 60 0.5× | 243 2.5× | 67 | 684 |
Countries citing papers authored by Masao Maeyama
This map shows the geographic impact of Masao Maeyama'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 Masao Maeyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masao Maeyama more than expected).
Fields of papers citing papers by Masao Maeyama
This network shows the impact of papers produced by Masao Maeyama. 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 Masao Maeyama. The network helps show where Masao Maeyama may publish in the future.
Co-authorship network of co-authors of Masao Maeyama
This figure shows the co-authorship network connecting the top 25 collaborators of Masao Maeyama. A scholar is included among the top collaborators of Masao Maeyama 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 Masao Maeyama. Masao Maeyama 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.