Matsuo Uemura
About
In The Last Decade
Matsuo Uemura
133 papers receiving 5.8k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Matsuo Uemura Japan | 41 | 4.7k | 3.2k | 509 | 248 | 237 | 138 | 6.1k | ||
| Lorenzo Lamattina Argentina | 60 | 9.5k 2.0× | 5.0k 1.6× | 524 1.0× | 247 1.0× | 325 1.4× | 137 | 12.0k | ||
| Hardy Rolletschek Germany | 42 | 3.8k 0.8× | 1.9k 0.6× | 658 1.3× | 164 0.7× | 116 0.5× | 108 | 4.9k | ||
| Céline Masclaux‐Daubresse France | 52 | 7.9k 1.7× | 2.8k 0.9× | 304 0.6× | 409 1.6× | 169 0.7× | 101 | 9.0k | ||
| Regina Feil Germany | 52 | 6.8k 1.4× | 3.6k 1.1× | 262 0.5× | 392 1.6× | 112 0.5× | 107 | 8.1k | ||
| Christa Testerink Netherlands | 43 | 6.9k 1.5× | 3.7k 1.2× | 901 1.8× | 139 0.6× | 518 2.2× | 84 | 8.4k | ||
| László Szabados Hungary | 38 | 7.8k 1.7× | 4.2k 1.3× | 168 0.3× | 256 1.0× | 201 0.8× | 91 | 9.3k | ||
| Maki Kawai‐Yamada Japan | 42 | 4.0k 0.9× | 3.0k 1.0× | 221 0.4× | 117 0.5× | 328 1.4× | 148 | 5.5k | ||
| Masayoshi Maeshima Japan | 60 | 7.8k 1.6× | 5.8k 1.8× | 412 0.8× | 180 0.7× | 603 2.5× | 194 | 10.7k | ||
| Toshihiro Obata Germany | 41 | 3.7k 0.8× | 3.3k 1.0× | 347 0.7× | 161 0.6× | 87 0.4× | 111 | 5.8k | ||
| Liming Xiong United States | 46 | 10.8k 2.3× | 6.7k 2.1× | 231 0.5× | 173 0.7× | 203 0.9× | 84 | 12.6k |
Countries citing papers authored by Matsuo Uemura
This map shows the geographic impact of Matsuo Uemura'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 Matsuo Uemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matsuo Uemura more than expected).
Fields of papers citing papers by Matsuo Uemura
This network shows the impact of papers produced by Matsuo Uemura. 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 Matsuo Uemura. The network helps show where Matsuo Uemura may publish in the future.
Co-authorship network of co-authors of Matsuo Uemura
This figure shows the co-authorship network connecting the top 25 collaborators of Matsuo Uemura. A scholar is included among the top collaborators of Matsuo Uemura 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 Matsuo Uemura. Matsuo Uemura 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.