Toru Sakai
- Global and Planetary Change top 10%
- Ecology
- Environmental Engineering top 10%
- Nature and Landscape Conservation top 10%
- Plant Science
- Co-authors
- Tsuyoshi AkiyamaYasushi HashimotoShugang JiaMotoko InatomiWenhong MoHiroshi KoizumiToshiyuki OhtsukaNobuko Saigusa
- Topics
- Remote Sensing and LiDAR Applications (8 papers)Forest ecology and management (7 papers)Remote Sensing in Agriculture (6 papers)
In The Last Decade
Toru Sakai
27 papers receiving 325 citations
Peers
Comparison fields: 5 of 55
- Global and Planetary Change 198
- Ecology 109
- Environmental Engineering 101
- Nature and Landscape Conservation 86
- Plant Science 75
Countries citing papers authored by Toru Sakai
This map shows the geographic impact of Toru Sakai'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 Toru Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Sakai more than expected).
Fields of papers citing papers by Toru Sakai
This network shows the impact of papers produced by Toru Sakai. 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 Toru Sakai. The network helps show where Toru Sakai may publish in the future.
Co-authorship network of co-authors of Toru Sakai
This figure shows the co-authorship network connecting the top 25 collaborators of Toru Sakai. A scholar is included among the top collaborators of Toru Sakai 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 Toru Sakai. Toru Sakai 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 18 | |
| 11 | 2 | |
| 12 | 30 | |
| 13 | 1 | |
| 14 | Estimation of stand volume by fusing low laser-sampling density LiDAR data with QuickBird panchromatic imagery in closed-canopy Japanese cedar (Cryptomeria japonica) plantations | 1 |
| 15 | 1 | |
| 16 | 29 | |
| 17 | 78 | |
| 18 | 11 | |
| 19 | Study on the carbon dynamics of rhizosphere in a cool-temperate climate forest, 1: Relations between topography, vegetation and soil type distribution | 3 |
| 20 | 17 |
About Toru Sakai
Toru Sakai is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Global and Planetary Change, having authored 30 papers that have together received 342 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (8 papers), Forest ecology and management (7 papers) and Remote Sensing in Agriculture (6 papers). The work is most often cited by research in Global and Planetary Change (198 citations), Environmental Engineering (101 citations) and Nature and Landscape Conservation (86 citations). Toru Sakai has collaborated with scholars based in Japan, Ethiopia and Myanmar. Frequent co-authors include Tsuyoshi Akiyama, Yasushi Hashimoto, Shugang Jia, Motoko Inatomi, Wenhong Mo, Hiroshi Koizumi, Toshiyuki Ohtsuka, Nobuko Saigusa, Yasumasa Hirata and Y. Awaya. Their work appears in journals such as International Journal of Remote Sensing, Forest Ecology and Management and Agricultural and Forest Meteorology.
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.