Tomoko Akitsu
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Global and Planetary Change top 10%
- Plant Water Relations and Carbon Dynamics
Papers in
- Ecology 12
- Remote Sensing in Agriculture 12
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- Plant Water Relations and Carbon Dynamics 4
- Atmospheric and Environmental Gas Dynamics 3
- Co-authors
- Kenlo Nishida Nasahara (17 shared papers)Atsushi Kume (7 shared papers)Osamu Ijima (3 shared papers)Yasuo Hirose (3 shared papers)Reiko Ide (4 shared papers)Xiaoyang Zhang (1 shared paper)Shin Nagai (1 shared paper)Yunyue Yu (1 shared paper)
- Journals
- International Journal of Applied Earth Observation and Geoinformation (3 papers)Agricultural and Forest Meteorology (3 papers)Journal of Plant Research (3 papers)Annals of Botany (1 paper)Remote Sensing (1 paper)
- Partner nations
- JapanMongoliaUnited States
In The Last Decade
Tomoko Akitsu
18 papers receiving 363 citations
Peers
Comparison fields: 5 of 64
- Ecological Modeling 32
- Global and Planetary Change 127
- Ecology 135
- Environmental Engineering 73
- Plant Science 131
Countries citing papers authored by Tomoko Akitsu
This map shows the geographic impact of Tomoko Akitsu'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 Tomoko Akitsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Akitsu more than expected).
Fields of papers citing papers by Tomoko Akitsu
This network shows the impact of papers produced by Tomoko Akitsu. 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 Tomoko Akitsu. The network helps show where Tomoko Akitsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoko Akitsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 131 | |
| 2 | 2015 | 51 | |
| 3 | 2019 | 44 | |
| 4 | 2017 | 26 | |
| 5 | 2022 | 24 | |
| 6 | 2022 | 21 | |
| 7 | 2016 | 15 | |
| 8 | 2021 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2015 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2014 | 1 | |
| 19 | 2021 | 1 |
About Tomoko Akitsu
Tomoko Akitsu is a scholar working on Ecology, Global and Planetary Change, Plant Science, Environmental Engineering and Artificial Intelligence, having authored 19 papers that have together received 372 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (12 papers), Plant Water Relations and Carbon Dynamics (4 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Solar Radiation and Photovoltaics (3 papers), Urban Heat Island Mitigation (3 papers), Remote Sensing and LiDAR Applications (2 papers), Plant responses to elevated CO2 (2 papers) and Light effects on plants (2 papers). The work is most often cited by research in Ecological Modeling (32 citations), Global and Planetary Change (127 citations), Ecology (135 citations), Environmental Engineering (73 citations) and Plant Science (131 citations). Tomoko Akitsu has collaborated with scholars based in Japan, Mongolia and United States. Frequent co-authors include Kenlo Nishida Nasahara, Atsushi Kume, Osamu Ijima, Yasuo Hirose, Reiko Ide, Xiaoyang Zhang, Shin Nagai, Yunyue Yu, Dong Yan and Takahisa Maeda. Their work appears in journals such as International Journal of Applied Earth Observation and Geoinformation, Agricultural and Forest Meteorology, Journal of Plant Research, Annals of Botany and Remote Sensing.
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.