Hideaki Kawai
- Global and Planetary Change top 2%
- Atmospheric Science top 2%
- Oceanography top 5%
- Biomedical Engineering
- Water Science and Technology top 10%
- Co-authors
- Tsuyoshi KoshiroSeiji YukimotoHiromasa YoshimuraNaga OshimaMasahiro HosakaRyo MizutaTaichu Y. TanakaKohei Yoshida
- Topics
- Climate variability and models (20 papers)Atmospheric aerosols and clouds (16 papers)Meteorological Phenomena and Simulations (15 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hideaki Kawai
35 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Global and Planetary Change 1.2k
- Atmospheric Science 1.0k
- Oceanography 178
- Biomedical Engineering 154
- Water Science and Technology 120
Countries citing papers authored by Hideaki Kawai
This map shows the geographic impact of Hideaki Kawai'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 Hideaki Kawai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Kawai more than expected).
Fields of papers citing papers by Hideaki Kawai
This network shows the impact of papers produced by Hideaki Kawai. 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 Hideaki Kawai. The network helps show where Hideaki Kawai may publish in the future.
Co-authorship network of co-authors of Hideaki Kawai
This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Kawai. A scholar is included among the top collaborators of Hideaki Kawai 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 Hideaki Kawai. Hideaki Kawai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 48 | |
| 6 | 11 | |
| 7 | The Meteorological Research Institute Earth System Model Version 2.0, MRI-ESM2.0: Description and Basic Evaluation of the Physical Componentbreakdown → | 647 |
| 8 | 73 | |
| 9 | 8 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 24 | |
| 13 | 15 | |
| 14 | 195 | |
| 15 | 29 | |
| 16 | 1 | |
| 17 | [Evaluation of endocrine disruptors in environmental water using yeast two-hybrid system]. | 1 |
| 18 | [A case of arrhythmogenic right ventricular dysplasia with special reference to endomyocardial biopsy study]. | 0 |
| 19 | 135 | |
| 20 | 9 |
About Hideaki Kawai
Hideaki Kawai is a scholar working on Atmospheric Science, Global and Planetary Change and Ocean Engineering, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Climate variability and models (20 papers), Atmospheric aerosols and clouds (16 papers) and Meteorological Phenomena and Simulations (15 papers). The work is most often cited by research in Atmospheric Science (1.0k citations), Global and Planetary Change (1.2k citations) and Oceanography (178 citations). Hideaki Kawai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tsuyoshi Koshiro, Seiji Yukimoto, Hiromasa Yoshimura, Naga Oshima, Masahiro Hosaka, Ryo Mizuta, Taichu Y. Tanaka, Kohei Yoshida, Makoto Deushi and Hiroyuki Tsujino. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Astrophysical Journal and Cancer Research.
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.