Ethan Shavers
Impact in
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
- Ecology top 5%
- Remote Sensing in Agriculture
- Hydrology and Sediment Transport Processes
Papers in
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- Hydrology and Watershed Management Studies 11
-
- Flood Risk Assessment and Management 8
- Co-authors
- Abduwasit Ghulam (4 shared papers)Jack Fishman (1 shared paper)Jim Peterson (1 shared paper)Maitiniyazi Maimaitijiang (1 shared paper)Paheding Sidike (1 shared paper)Kyle T. Peterson (1 shared paper)Felix Fritschi (1 shared paper)Suhas Kadam (1 shared paper)
- Journals
- Environmental Modelling & Software (3 papers)Remote Sensing (1 paper)SoftwareX (1 paper)Transactions in GIS (1 paper)Geomorphology (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Ethan Shavers
19 papers receiving 482 citations
Ethan Shavers's Hit Papers
Peers
Comparison fields: 5 of 65
- Environmental Engineering 193
- Ecology 286
- Global and Planetary Change 117
- Plant Science 194
- Water Science and Technology 61
Countries citing papers authored by Ethan Shavers
This map shows the geographic impact of Ethan Shavers'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 Ethan Shavers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan Shavers more than expected).
Fields of papers citing papers by Ethan Shavers
This network shows the impact of papers produced by Ethan Shavers. 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 Ethan Shavers. The network helps show where Ethan Shavers may publish in the future.
Co-authors
The 25 scholars most cited alongside Ethan Shavers, 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 | Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine Hit paper breakdown → | 2017 | 324 |
| 2 | 2021 | 47 | |
| 3 | 2021 | 26 | |
| 4 | 2022 | 14 | |
| 5 | 2024 | 14 | |
| 6 | 2021 | 12 | |
| 7 | 2018 | 10 | |
| 8 | 2024 | 8 | |
| 9 | 2020 | 8 | |
| 10 | 2023 | 4 | |
| 11 | 2017 | 4 | |
| 12 | 2016 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2017 | 1 | |
| 20 | Scale-specific metrics for adaptive generalization and geomorphic classification of stream features | 2020 | 0 |
About Ethan Shavers
Ethan Shavers is a scholar working on Water Science and Technology, Global and Planetary Change, Ecology, Environmental Engineering and Artificial Intelligence, having authored 20 papers that have together received 488 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (11 papers), Flood Risk Assessment and Management (8 papers), Hydrology and Sediment Transport Processes (5 papers), Remote Sensing and LiDAR Applications (3 papers), Cryospheric studies and observations (3 papers), Geochemistry and Geologic Mapping (3 papers), Geological and Geochemical Analysis (2 papers) and earthquake and tectonic studies (2 papers). The work is most often cited by research in Environmental Engineering (193 citations), Ecology (286 citations), Global and Planetary Change (117 citations), Plant Science (194 citations) and Water Science and Technology (61 citations). Ethan Shavers has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Abduwasit Ghulam, Jack Fishman, Jim Peterson, Maitiniyazi Maimaitijiang, Paheding Sidike, Kyle T. Peterson, Felix Fritschi, Suhas Kadam, Sean Hartling and Joel G. Burken. Their work appears in journals such as Environmental Modelling & Software, Remote Sensing, SoftwareX, Transactions in GIS and Geomorphology.
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.