Dai Koide
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
-
- Ecology and Vegetation Dynamics Studies
Papers in
-
- Ecology and Vegetation Dynamics Studies 13
- Forest ecology and management 3
-
- Species Distribution and Climate Change 13
- Co-authors
- Akira Mori (6 shared papers)Ryo Kitagawa (3 shared papers)Saori Fujii (2 shared papers)Taku Kadoya (6 shared papers)Fumiko Ishihama (2 shared papers)Eri Mizumachi (1 shared paper)Takayuki Shiono (1 shared paper)Ji Yoon Kim (2 shared papers)
- Journals
- Scientific Reports (2 papers)Ecological Indicators (2 papers)Global Ecology and Biogeography (2 papers)Biodiversity and Conservation (1 paper)Oecologia (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Dai Koide
21 papers receiving 388 citations
Peers
Comparison fields: 5 of 54
- Ecological Modeling 98
- Nature and Landscape Conservation 211
- Ecology, Evolution, Behavior and Systematics 126
- Ecology 137
- Global and Planetary Change 80
Countries citing papers authored by Dai Koide
This map shows the geographic impact of Dai Koide'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 Dai Koide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Koide more than expected).
Fields of papers citing papers by Dai Koide
This network shows the impact of papers produced by Dai Koide. 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 Dai Koide. The network helps show where Dai Koide may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai Koide, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 79 | |
| 2 | 2016 | 68 | |
| 3 | 2021 | 53 | |
| 4 | 2014 | 49 | |
| 5 | 2017 | 33 | |
| 6 | 2016 | 18 | |
| 7 | 2018 | 16 | |
| 8 | 2021 | 11 | |
| 9 | 2016 | 11 | |
| 10 | 2018 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 6 | |
| 14 | 2015 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2024 | 1 | |
| 20 | 2018 | 1 |
About Dai Koide
Dai Koide is a scholar working on Nature and Landscape Conservation, Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Ecology and Global and Planetary Change, having authored 21 papers that have together received 396 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (13 papers), Ecology and Vegetation Dynamics Studies (13 papers), Plant and animal studies (7 papers), Land Use and Ecosystem Services (3 papers), Forest ecology and management (3 papers), Wildlife Ecology and Conservation (3 papers), Tree-ring climate responses (2 papers) and Forest Ecology and Biodiversity Studies (2 papers). The work is most often cited by research in Ecological Modeling (98 citations), Nature and Landscape Conservation (211 citations), Ecology, Evolution, Behavior and Systematics (126 citations), Ecology (137 citations) and Global and Planetary Change (80 citations). Dai Koide has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Akira Mori, Ryo Kitagawa, Saori Fujii, Taku Kadoya, Fumiko Ishihama, Eri Mizumachi, Takayuki Shiono, Ji Yoon Kim, Jun Nishihiro and Forest Isbell. Their work appears in journals such as Scientific Reports, Ecological Indicators, Global Ecology and Biogeography, Biodiversity and Conservation and Oecologia.
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.