Masaru Kunii
- Atmospheric Science top 2%
- Global and Planetary Change top 2%
- Oceanography top 5%
- Environmental Engineering top 10%
- Aerospace Engineering
- Co-authors
- Takemasa MiyoshiHiromu SekoKazuo SaitoKozo OkamotoYohei SawadaYoshinori ShojiTsuyoshi Thomas SekiyamaMizuo Kajino
- Topics
- Meteorological Phenomena and Simulations (42 papers)Climate variability and models (36 papers)Tropical and Extratropical Cyclones Research (24 papers)
- Journals
- Proceedings of the IEEEMonthly Weather ReviewBulletin of the American Meteorological Society
- Partner nations
- JapanUnited StatesArgentina
In The Last Decade
Masaru Kunii
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 52
- Atmospheric Science 905
- Global and Planetary Change 826
- Oceanography 178
- Environmental Engineering 120
- Aerospace Engineering 65
Countries citing papers authored by Masaru Kunii
This map shows the geographic impact of Masaru Kunii'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 Masaru Kunii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaru Kunii more than expected).
Fields of papers citing papers by Masaru Kunii
This network shows the impact of papers produced by Masaru Kunii. 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 Masaru Kunii. The network helps show where Masaru Kunii may publish in the future.
Co-authorship network of co-authors of Masaru Kunii
This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Kunii. A scholar is included among the top collaborators of Masaru Kunii 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 Masaru Kunii. Masaru Kunii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 14 | |
| 3 | 10 | |
| 4 | 18 | |
| 5 | 17 | |
| 6 | 3 | |
| 7 | 37 | |
| 8 | 21 | |
| 9 | Data assimilation experiments of tropical cyclones with the NHM-LETKF | 0 |
| 10 | 21 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 31 | |
| 14 | 12 | |
| 15 | 22 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 33 |
About Masaru Kunii
Masaru Kunii is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (42 papers), Climate variability and models (36 papers) and Tropical and Extratropical Cyclones Research (24 papers). The work is most often cited by research in Atmospheric Science (905 citations), Global and Planetary Change (826 citations) and Oceanography (178 citations). Masaru Kunii has collaborated with scholars based in Japan, United States and Argentina. Frequent co-authors include Takemasa Miyoshi, Hiromu Seko, Kazuo Saito, Kozo Okamoto, Yohei Sawada, Yoshinori Shoji, Tsuyoshi Thomas Sekiyama, Mizuo Kajino, Hiroshi Yamauchi and Akiyoshi Wada. Their work appears in journals such as Proceedings of the IEEE, Monthly Weather Review and Bulletin of the American Meteorological Society.
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.