Kenta Itakura
Impact in
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
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- Remote Sensing and LiDAR Applications 14
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- Smart Agriculture and AI 6
- Leaf Properties and Growth Measurement 5
- Horticultural and Viticultural Research 2
- Co-authors
- Fumiki Hosoi (17 shared papers)Yoshito Saito (6 shared papers)W. Ootani (1 shared paper)Naoshi Kondo (5 shared papers)S. Moriyama (1 shared paper)M. Minowa (1 shared paper)Tetsuhito Suzuki (4 shared papers)Makoto Kuramoto (2 shared papers)
In The Last Decade
Kenta Itakura
22 papers receiving 483 citations
Peers
Comparison fields: 5 of 93
- Environmental Engineering 151
- Analytical Chemistry 91
- Plant Science 220
- Geology 32
- Ecology 143
Countries citing papers authored by Kenta Itakura
This map shows the geographic impact of Kenta Itakura'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 Kenta Itakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenta Itakura more than expected).
Fields of papers citing papers by Kenta Itakura
This network shows the impact of papers produced by Kenta Itakura. 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 Kenta Itakura. The network helps show where Kenta Itakura may publish in the future.
Co-authors
The 16 scholars most cited alongside Kenta Itakura, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 79 | |
| 2 | 2018 | 62 | |
| 3 | 2018 | 60 | |
| 4 | 2019 | 42 | |
| 5 | 2020 | 41 | |
| 6 | 2021 | 28 | |
| 7 | 2017 | 26 | |
| 8 | 2018 | 24 | |
| 9 | 2019 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2019 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2018 | 10 | |
| 14 | 2001 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2019 | 5 |
About Kenta Itakura
Kenta Itakura is a scholar working on Environmental Engineering, Plant Science, Ecology, Analytical Chemistry and Nature and Landscape Conservation, having authored 26 papers that have together received 493 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (14 papers), Remote Sensing in Agriculture (12 papers), Spectroscopy and Chemometric Analyses (6 papers), Smart Agriculture and AI (6 papers), Leaf Properties and Growth Measurement (5 papers), Forest ecology and management (3 papers), Horticultural and Viticultural Research (2 papers) and Infrastructure Maintenance and Monitoring (2 papers). The work is most often cited by research in Environmental Engineering (151 citations), Analytical Chemistry (91 citations), Plant Science (220 citations), Geology (32 citations) and Ecology (143 citations). Kenta Itakura has collaborated with scholars based in Japan, Indonesia and Italy. Frequent co-authors include Fumiki Hosoi, Yoshito Saito, W. Ootani, Naoshi Kondo, S. Moriyama, M. Minowa, Tetsuhito Suzuki, Makoto Kuramoto, Hideo Hasegawa and Norikuni Ohtake. Their work appears in journals such as Applied Optics, Remote Sensing, Horticulturae, Sensors and Food Chemistry.
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.