Masato Hayashi
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 32
- Soil Moisture and Remote Sensing 6
- Artificial Intelligence top 2%
- Quantum Computing Algorithms and Architecture 19
- Hardware and Architecture top 10%
- Ecology top 5%
- Remote Sensing in Agriculture 21
-
- Synthetic Aperture Radar (SAR) Applications and Techniques 15
-
- Forest ecology and management 11
-
- Advanced Memory and Neural Computing 9
-
- Remote-Sensing Image Classification 7
- Co-authors
- Masanao YamaokaChihiro YoshimuraTakuya OkuyamaHidetaka AokiHiroyuki MizunoTakashi TakemotoChristian N. KoyamaMasanobu Shimada
- Journals
- SHILAP Revista de lepidopterología (2 papers)Remote Sensing of Environment (4 papers)Scientific Reports (3 papers)
- Partner nations
- JapanUnited StatesVietnam
In The Last Decade
Masato Hayashi
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 75
- Environmental Engineering 318
- Artificial Intelligence 657
- Hardware and Architecture 79
- Ecology 282
- Computational Theory and Mathematics 162
Countries citing papers authored by Masato Hayashi
This map shows the geographic impact of Masato Hayashi'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 Masato Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Hayashi more than expected).
Fields of papers citing papers by Masato Hayashi
This network shows the impact of papers produced by Masato Hayashi. 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 Masato Hayashi. The network helps show where Masato Hayashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masato Hayashi, 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 | 2024 | 18 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 63 | |
| 6 | 2019 | 38 | |
| 7 | 2019 | 49 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 1 | |
| 11 | Current Status of Research and Development on Active Debris Removal at JAXA | 2017 | 10 |
| 12 | 25m-resolution Global Mosaic and Forest/Non-Forest map using PALSAR-2 data set | 2017 | 2 |
| 13 | 2015 | 84 | |
| 14 | 2015 | 25 | |
| 15 | 2007 | 2 | |
| 16 | 2005 | 1 | |
| 17 | 2004 | 2 | |
| 18 | 1999 | 1 | |
| 19 | 1998 | 1 | |
| 20 | 1995 | 3 |
About Masato Hayashi
Masato Hayashi is a scholar working on Environmental Engineering, Hardware and Architecture and Nature and Landscape Conservation, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (32 papers), Remote Sensing in Agriculture (21 papers), Quantum Computing Algorithms and Architecture (19 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (15 papers), Forest ecology and management (11 papers), Advanced Memory and Neural Computing (9 papers), Remote-Sensing Image Classification (7 papers) and Soil Moisture and Remote Sensing (6 papers). The work is most often cited by research in Environmental Engineering (318 citations), Artificial Intelligence (657 citations) and Hardware and Architecture (79 citations). Masato Hayashi has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Masanao Yamaoka, Chihiro Yoshimura, Takuya Okuyama, Hidetaka Aoki, Hiroyuki Mizuno, Takashi Takemoto, Christian N. Koyama, Masanobu Shimada, Manabu Watanabe and Takeo Tadono. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment 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.