Eiki Shindo
- Global and Planetary Change top 1%
- Atmospheric Science top 1%
- Oceanography top 2%
- Water Science and Technology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Ryo MizutaHiromasa YoshimuraSeiji YukimotoMasahiro HosakaYukimasa AdachiHiroyuki TsujinoAtsushi ObataMakoto Deushi
- Topics
- Climate variability and models (10 papers)Tropical and Extratropical Cyclones Research (5 papers)Meteorological Phenomena and Simulations (5 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Eiki Shindo
11 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Global and Planetary Change 1.7k
- Atmospheric Science 1.5k
- Oceanography 492
- Water Science and Technology 136
- Ecology, Evolution, Behavior and Systematics 131
Countries citing papers authored by Eiki Shindo
This map shows the geographic impact of Eiki Shindo'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 Eiki Shindo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiki Shindo more than expected).
Fields of papers citing papers by Eiki Shindo
This network shows the impact of papers produced by Eiki Shindo. 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 Eiki Shindo. The network helps show where Eiki Shindo may publish in the future.
Co-authorship network of co-authors of Eiki Shindo
This figure shows the co-authorship network connecting the top 25 collaborators of Eiki Shindo. A scholar is included among the top collaborators of Eiki Shindo 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 Eiki Shindo. Eiki Shindo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | The Meteorological Research Institute Earth System Model Version 2.0, MRI-ESM2.0: Description and Basic Evaluation of the Physical Componentbreakdown → | 647 |
| 5 | 33 | |
| 6 | 35 | |
| 7 | 71 | |
| 8 | A New Global Climate Model of the Meteorological Research Institute: MRI-CGCM3 —Model Description and Basic Performance—breakdown → | 653 |
| 9 | 332 | |
| 10 | Meteorological Research Institute-Earth System Model Version 1 (MRI-ESM1)-Model Description- | 106 |
| 11 | 170 |
About Eiki Shindo
Eiki Shindo is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 11 papers that have together received 2.1k indexed citations. Recurring topics across this work include Climate variability and models (10 papers), Tropical and Extratropical Cyclones Research (5 papers) and Meteorological Phenomena and Simulations (5 papers). The work is most often cited by research in Atmospheric Science (1.5k citations), Global and Planetary Change (1.7k citations) and Oceanography (492 citations). Eiki Shindo has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Ryo Mizuta, Hiromasa Yoshimura, Seiji Yukimoto, Masahiro Hosaka, Yukimasa Adachi, Hiroyuki Tsujino, Atsushi Obata, Makoto Deushi, Hiroyuki Murakami and Tsuyoshi Koshiro. Their work appears in journals such as Scientific Reports, Journal of Climate and Climate Dynamics.
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.