Masashi Okada
- Plant Science top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Global and Planetary Change top 10%
- Water Science and Technology top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Toshichika IizumiTadahiro TaniguchiMotoki NishimoriShinichiro FujimoriJun FuruyaTomoko HasegawaMasayuki YokozawaWonsik Kim
- Topics
- Climate change impacts on agriculture (8 papers)Climate variability and models (5 papers)Water-Energy-Food Nexus Studies (4 papers)
- Cited by
- Ecology, Evolution, Behavior and SystematicsGlobal and Planetary ChangeWater Science and Technology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Masashi Okada
28 papers receiving 514 citations
Peers
Comparison fields: 5 of 78
- Plant Science 179
- Ecology, Evolution, Behavior and Systematics 162
- Global and Planetary Change 158
- Water Science and Technology 87
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Masashi Okada
This map shows the geographic impact of Masashi Okada'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 Masashi Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Okada more than expected).
Fields of papers citing papers by Masashi Okada
This network shows the impact of papers produced by Masashi Okada. 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 Masashi Okada. The network helps show where Masashi Okada may publish in the future.
Co-authorship network of co-authors of Masashi Okada
This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Okada. A scholar is included among the top collaborators of Masashi Okada 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 Masashi Okada. Masashi Okada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 13 | |
| 4 | 28 | |
| 5 | 1 | |
| 6 | 27 | |
| 7 | Variational Inference MPC for Bayesian Model-based Reinforcement Learning | 4 |
| 8 | 6 | |
| 9 | Potential benefits of changing the planting date to account for seasonal climate forecasts | 2 |
| 10 | 22 | |
| 11 | 137 | |
| 12 | Future possible crop yield scenarios under multiple SSP and RCP scenarios. | 1 |
| 13 | 18 | |
| 14 | 35 | |
| 15 | 9 | |
| 16 | 19 | |
| 17 | 15 | |
| 18 | 19 | |
| 19 | 12 | |
| 20 | 35 |
About Masashi Okada
Masashi Okada is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Water Science and Technology, having authored 28 papers that have together received 528 indexed citations. Recurring topics across this work include Climate change impacts on agriculture (8 papers), Climate variability and models (5 papers) and Water-Energy-Food Nexus Studies (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (162 citations), Global and Planetary Change (158 citations) and Water Science and Technology (87 citations). Masashi Okada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toshichika Iizumi, Tadahiro Taniguchi, Motoki Nishimori, Shinichiro Fujimori, Jun Furuya, Tomoko Hasegawa, Masayuki Yokozawa, Wonsik Kim, Yousay Hayashi and Naota Hanasaki. Their work appears in journals such as PLoS ONE, Scientific Reports and Water Resources 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.