Keiko Ioki
Impact in
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
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- Forest ecology and management
Papers in
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- Remote Sensing and LiDAR Applications 18
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- Forest ecology and management 13
- Co-authors
- Takeshi Sasaki (8 shared papers)Junichi Imanishi (8 shared papers)Yukihiro MORIMOTO (8 shared papers)Mui‐How Phua (12 shared papers)Satoshi Tsuyuki (8 shared papers)Gen Takao (5 shared papers)Yasumasa Hirata (4 shared papers)Hideki Saito (4 shared papers)
- Journals
- Forest Ecology and Management (2 papers)Ecological Engineering (1 paper)Remote Sensing Applications Society and Environment (1 paper)Biological Conservation (1 paper)Urban forestry & urban greening (1 paper)
- Partner nations
- JapanMalaysiaUnited Kingdom
In The Last Decade
Keiko Ioki
21 papers receiving 341 citations
Peers
Comparison fields: 5 of 41
- Environmental Engineering 289
- Nature and Landscape Conservation 165
- Ecology 202
- Insect Science 75
- Ecological Modeling 18
Countries citing papers authored by Keiko Ioki
This map shows the geographic impact of Keiko Ioki'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 Keiko Ioki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Ioki more than expected).
Fields of papers citing papers by Keiko Ioki
This network shows the impact of papers produced by Keiko Ioki. 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 Keiko Ioki. The network helps show where Keiko Ioki may publish in the future.
Co-authors
The 25 scholars most cited alongside Keiko Ioki, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 61 | |
| 2 | 2014 | 60 | |
| 3 | 2009 | 46 | |
| 4 | 2017 | 29 | |
| 5 | 2008 | 28 | |
| 6 | 2016 | 25 | |
| 7 | 2019 | 22 | |
| 8 | 2013 | 17 | |
| 9 | 2016 | 12 | |
| 10 | 2014 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2022 | 6 | |
| 13 | 2017 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2012 | 1 |
About Keiko Ioki
Keiko Ioki is a scholar working on Environmental Engineering, Nature and Landscape Conservation, Ecology, Insect Science and Global and Planetary Change, having authored 22 papers that have together received 351 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (18 papers), Remote Sensing in Agriculture (13 papers), Forest ecology and management (13 papers), Forest Ecology and Biodiversity Studies (5 papers), 3D Surveying and Cultural Heritage (2 papers), Species Distribution and Climate Change (2 papers), Soil and Land Suitability Analysis (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Environmental Engineering (289 citations), Nature and Landscape Conservation (165 citations), Ecology (202 citations), Insect Science (75 citations) and Ecological Modeling (18 citations). Keiko Ioki has collaborated with scholars based in Japan, Malaysia and United Kingdom. Frequent co-authors include Takeshi Sasaki, Junichi Imanishi, Yukihiro MORIMOTO, Mui‐How Phua, Satoshi Tsuyuki, Gen Takao, Yasumasa Hirata, Hideki Saito, Youngkeun Song and Colin R. Maycock. Their work appears in journals such as Forest Ecology and Management, Ecological Engineering, Remote Sensing Applications Society and Environment, Biological Conservation and Urban forestry & urban greening.
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.