Akira Uedono
About
In The Last Decade
Akira Uedono
417 papers receiving 7.1k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Akira Uedono Japan | 39 | 3.8k | 3.2k | 2.9k | 2.5k | 2.4k | 436 | 7.2k | ||
| K. Saarinen Finland | 39 | 3.3k 0.9× | 3.0k 0.9× | 2.0k 0.7× | 2.6k 1.0× | 1.7k 0.7× | 178 | 5.8k | ||
| Filip Tuomisto Finland | 37 | 2.4k 0.6× | 3.6k 1.1× | 1.3k 0.4× | 1.1k 0.4× | 1.8k 0.8× | 233 | 5.1k | ||
| Angus Rockett United States | 45 | 5.6k 1.5× | 4.9k 1.5× | 1.2k 0.4× | 814 0.3× | 872 0.4× | 279 | 7.8k | ||
| V. Cimalla Germany | 39 | 3.3k 0.9× | 2.8k 0.9× | 1.9k 0.7× | 702 0.3× | 1.3k 0.6× | 263 | 5.5k | ||
| M. Umeno Japan | 37 | 2.6k 0.7× | 2.5k 0.8× | 1.2k 0.4× | 992 0.4× | 695 0.3× | 307 | 5.0k | ||
| Michał Boćkowski Poland | 41 | 2.8k 0.7× | 3.5k 1.1× | 5.1k 1.7× | 1.2k 0.5× | 2.5k 1.1× | 383 | 7.2k | ||
| Ivan G. Ivanov Sweden | 38 | 3.2k 0.8× | 3.0k 0.9× | 703 0.2× | 912 0.4× | 1.1k 0.4× | 259 | 5.2k | ||
| B Clemens United States | 41 | 2.9k 0.8× | 3.6k 1.1× | 700 0.2× | 1.2k 0.5× | 1.9k 0.8× | 195 | 7.2k | ||
| V. Yu. Davydov Russia | 32 | 1.7k 0.4× | 3.2k 1.0× | 4.0k 1.4× | 769 0.3× | 2.3k 1.0× | 263 | 5.8k | ||
| L. Salamanca‐Riba United States | 40 | 2.4k 0.6× | 5.8k 1.8× | 1.6k 0.5× | 558 0.2× | 4.2k 1.8× | 204 | 7.8k |
Countries citing papers authored by Akira Uedono
This map shows the geographic impact of Akira Uedono'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 Akira Uedono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Uedono more than expected).
Fields of papers citing papers by Akira Uedono
This network shows the impact of papers produced by Akira Uedono. 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 Akira Uedono. The network helps show where Akira Uedono may publish in the future.
Co-authorship network of co-authors of Akira Uedono
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Uedono. A scholar is included among the top collaborators of Akira Uedono 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 Akira Uedono. Akira Uedono 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.