Masaji Seki
About
In The Last Decade
Masaji Seki
12 papers receiving 48 citations
Author Peers
Peers are selected by citation overlap in the author's most active subfields. citations · hero ref
| Author | Last Decade | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|
| Masaji Seki | 10 | 7 | 6 | 5 | 5 | 13 | 52 | |
| Takayuki Ogura | 5 0.5× | 5 0.7× | 3 0.5× | 3 0.6× | 3 0.6× | 12 | 36 | |
| Sarojini Pandey | 7 0.7× | 8 1.1× | 2 0.3× | 14 2.8× | 5 1.0× | 8 | 79 | |
| Vincent Strehlow | 10 1.0× | 3 0.4× | 5 0.8× | 3 0.6× | 4 0.8× | 12 | 68 | |
| Midori Kubota | 10 1.0× | 3 0.4× | 8 1.3× | 6 1.2× | 1 0.2× | 9 | 74 | |
| Luis Alvarez | 12 1.2× | 9 1.3× | 2 0.3× | 11 2.2× | 8 | 54 | ||
| Paweł Olszewski | 6 0.6× | 2 0.3× | 5 0.8× | 12 2.4× | 13 2.6× | 17 | 232 | |
| Shaghayegh Zokaei | 3 0.3× | 16 2.3× | 4 0.7× | 4 0.8× | 8 1.6× | 12 | 81 | |
| Bingyu Zhang | 3 0.3× | 2 0.3× | 2 0.3× | 5 1.0× | 3 0.6× | 15 | 64 | |
| Lixue Yin | 9 0.9× | 6 1.0× | 9 1.8× | 3 0.6× | 19 | 79 | ||
| Benjamin Cogné | 7 0.7× | 22 3.1× | 6 1.0× | 5 1.0× | 6 1.2× | 18 | 217 |
Countries citing papers authored by Masaji Seki
This map shows the geographic impact of Masaji Seki'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 Masaji Seki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaji Seki more than expected).
Fields of papers citing papers by Masaji Seki
This network shows the impact of papers produced by Masaji Seki. 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 Masaji Seki. The network helps show where Masaji Seki may publish in the future.
All Works
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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.