Kenji Nagata
- Structural Biology top 10%
- Plant Science top 5%
- Rice Cultivation and Yield Improvement 10
- GABA and Rice Research 7
- Surfaces, Coatings and Films top 10%
- Electron and X-Ray Spectroscopy Techniques 17
- Geophysics top 10%
- earthquake and tectonic studies 7
- Genetics top 10%
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- Machine Learning in Materials Science 23
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- Neural Networks and Applications 12
- Geochemistry and Geologic Mapping 7
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- Spectroscopy and Chemometric Analyses 6
- Co-authors
- Masato OkadaTomio TeraoTatsuro HiroseTatsu KuwataniSumio WatanabeKazuko MorinoSatoshi YoshinagaSeiji Sugita
- Journals
- Journal of the Physical Society of Japan (15 papers)Journal of Electron Spectroscopy and Related Phenomena (4 papers)Plant Production Science (4 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kenji Nagata
103 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Structural Biology 23
- Plant Science 491
- Surfaces, Coatings and Films 75
- Geophysics 121
- Genetics 232
Countries citing papers authored by Kenji Nagata
This map shows the geographic impact of Kenji Nagata'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 Kenji Nagata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Nagata more than expected).
Fields of papers citing papers by Kenji Nagata
This network shows the impact of papers produced by Kenji Nagata. 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 Kenji Nagata. The network helps show where Kenji Nagata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenji Nagata, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 0 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 19 | |
| 18 | 2014 | 18 | |
| 19 | Application of Bayesian Estimation for XPS Data Analysis | 2011 | 1 |
| 20 | A New Modified Gaussian Model (MGM) Using the Cross-Validation Method | 2010 | 3 |
About Kenji Nagata
Kenji Nagata is a scholar working on Surfaces, Coatings and Films, Radiation and Geophysics, having authored 113 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (23 papers), Electron and X-Ray Spectroscopy Techniques (17 papers), Neural Networks and Applications (12 papers), Rice Cultivation and Yield Improvement (10 papers), Geochemistry and Geologic Mapping (7 papers), earthquake and tectonic studies (7 papers), GABA and Rice Research (7 papers) and Spectroscopy and Chemometric Analyses (6 papers). The work is most often cited by research in Structural Biology (23 citations), Plant Science (491 citations) and Surfaces, Coatings and Films (75 citations). Kenji Nagata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masato Okada, Tomio Terao, Tatsuro Hirose, Tatsu Kuwatani, Sumio Watanabe, Kazuko Morino, Satoshi Yoshinaga, Seiji Sugita, Hiroyuki Shimizu and Jun‐ichi Takanashi. Their work appears in journals such as Journal of the Physical Society of Japan, Journal of Electron Spectroscopy and Related Phenomena, Plant Production Science, Journal of Geophysical Research Solid Earth and Scientific Reports.
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.