Murilo Maeda
Impact in
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications
- Ecology top 2%
- Remote Sensing in Agriculture
Papers in
- Ecology 22
- Remote Sensing in Agriculture 22
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- Remote Sensing and LiDAR Applications 18
- Co-authors
- Jinha Jung (21 shared papers)Anjin Chang (20 shared papers)Juan Landivar (22 shared papers)Akash Ashapure (8 shared papers)Mahendra Bhandari (4 shared papers)Junho Yeom (11 shared papers)Tianxing Chu (4 shared papers)Sungchan Oh (3 shared papers)
- Journals
- Computers and Electronics in Agriculture (5 papers)Remote Sensing (4 papers)ISPRS Journal of Photogrammetry and Remote Sensing (2 papers)The journal of cotton science/Journal of cotton science (2 papers)Water (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Murilo Maeda
28 papers receiving 1.4k citations
Murilo Maeda's Hit Papers
Peers
Comparison fields: 5 of 95
- Environmental Engineering 546
- Ecology 821
- Plant Science 874
- Analytical Chemistry 117
- Ecological Modeling 45
Countries citing papers authored by Murilo Maeda
This map shows the geographic impact of Murilo Maeda'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 Murilo Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murilo Maeda more than expected).
Fields of papers citing papers by Murilo Maeda
This network shows the impact of papers produced by Murilo Maeda. 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 Murilo Maeda. The network helps show where Murilo Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Murilo Maeda, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems Hit paper breakdown → | 2020 | 332 |
| 2 | 2017 | 158 | |
| 3 | 2020 | 104 | |
| 4 | 2017 | 91 | |
| 5 | 2019 | 86 | |
| 6 | 2019 | 71 | |
| 7 | 2020 | 67 | |
| 8 | 2020 | 67 | |
| 9 | 2018 | 65 | |
| 10 | 2018 | 62 | |
| 11 | 2017 | 60 | |
| 12 | 2019 | 49 | |
| 13 | 2018 | 45 | |
| 14 | 2016 | 44 | |
| 15 | 2019 | 39 | |
| 16 | 2023 | 32 | |
| 17 | 2021 | 29 | |
| 18 | 2017 | 14 | |
| 19 | 2020 | 11 | |
| 20 | Studies on the Penicillium- and Fusarium-rots of Chinese Yam and their control. | 1955 | 9 |
About Murilo Maeda
Murilo Maeda is a scholar working on Ecology, Environmental Engineering, Plant Science, Global and Planetary Change and Agronomy and Crop Science, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (22 papers), Remote Sensing and LiDAR Applications (18 papers), Smart Agriculture and AI (9 papers), Research in Cotton Cultivation (4 papers), Land Use and Ecosystem Services (4 papers), Crop Yield and Soil Fertility (2 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Species Distribution and Climate Change (2 papers). The work is most often cited by research in Environmental Engineering (546 citations), Ecology (821 citations), Plant Science (874 citations), Analytical Chemistry (117 citations) and Ecological Modeling (45 citations). Murilo Maeda has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Jinha Jung, Anjin Chang, Juan Landivar, Akash Ashapure, Mahendra Bhandari, Junho Yeom, Tianxing Chu, Sungchan Oh, Michael J. Starek and Michael J. Brewer. Their work appears in journals such as Computers and Electronics in Agriculture, Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, The journal of cotton science/Journal of cotton science and Water.
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.