Masato Maeda
About
In The Last Decade
Masato Maeda
119 papers receiving 4.5k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Masato Maeda Japan | 30 | 2.2k | 1.0k | 888 | 714 | 644 | 134 | 4.6k | ||
| Reinier O. Schlingemann Netherlands | 60 | 4.3k 2.0× | 928 0.9× | 646 0.7× | 596 0.8× | 516 0.8× | 187 | 12.9k | ||
| Kirk M. Druey United States | 37 | 2.8k 1.3× | 603 0.6× | 442 0.5× | 836 1.2× | 553 0.9× | 98 | 5.2k | ||
| Jaap D. van Buul Netherlands | 40 | 2.5k 1.2× | 589 0.6× | 1.0k 1.2× | 625 0.9× | 635 1.0× | 131 | 5.8k | ||
| Alison C. MacKinnon United Kingdom | 36 | 2.6k 1.2× | 1.3k 1.3× | 385 0.4× | 731 1.0× | 254 0.4× | 98 | 5.8k | ||
| H. Peter Rodemann Germany | 41 | 2.7k 1.2× | 1.5k 1.5× | 673 0.8× | 537 0.8× | 691 1.1× | 114 | 5.9k | ||
| Ali Hafezi‐Moghadam United States | 39 | 2.6k 1.2× | 858 0.8× | 330 0.4× | 405 0.6× | 623 1.0× | 95 | 6.6k | ||
| Geerten P. van Nieuw Amerongen Netherlands | 39 | 2.3k 1.0× | 335 0.3× | 897 1.0× | 530 0.7× | 715 1.1× | 75 | 4.9k | ||
| Sarah Y. Yuan United States | 44 | 2.0k 0.9× | 427 0.4× | 521 0.6× | 306 0.4× | 650 1.0× | 101 | 4.4k | ||
| J. Geoffrey Pickering Canada | 45 | 2.3k 1.1× | 538 0.5× | 407 0.5× | 1.4k 1.9× | 650 1.0× | 127 | 5.7k | ||
| Inés Martín-Padura Italy | 34 | 3.1k 1.4× | 906 0.9× | 1000 1.1× | 372 0.5× | 627 1.0× | 50 | 5.9k |
Countries citing papers authored by Masato Maeda
This map shows the geographic impact of Masato Maeda'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 Masato Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Maeda more than expected).
Fields of papers citing papers by Masato Maeda
This network shows the impact of papers produced by Masato Maeda. 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 Masato Maeda. The network helps show where Masato Maeda may publish in the future.
Co-authorship network of co-authors of Masato Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Masato Maeda. A scholar is included among the top collaborators of Masato Maeda 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 Masato Maeda. Masato Maeda 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.