Rachel Gaulton
- Environmental Engineering top 0.5%
- Remote Sensing and LiDAR Applications 32
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- Forest ecology and management 18
- Ecology and Vegetation Dynamics Studies 4
- Ecology top 2%
- Remote Sensing in Agriculture 29
- Wildlife Ecology and Conservation 3
- Ecological Modeling top 5%
- Species Distribution and Climate Change 8
- Geology top 2%
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- Plant Water Relations and Carbon Dynamics 10
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- Forest Ecology and Biodiversity Studies 4
- Co-authors
- Elias Fernando BerraStuart BarrF. Mark DansonMagdalena ŚmigajJuan Carlos Pinilla SuárezOliver GunawanMathias DisneyFernando Ramírez
- Journals
- Remote Sensing of Environment (5 papers)Forest Ecology and Management (5 papers)Remote Sensing (5 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Rachel Gaulton
46 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Environmental Engineering 1.2k
- Nature and Landscape Conservation 573
- Ecology 1.1k
- Ecological Modeling 172
- Geology 189
Countries citing papers authored by Rachel Gaulton
This map shows the geographic impact of Rachel Gaulton'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 Rachel Gaulton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Gaulton more than expected).
Fields of papers citing papers by Rachel Gaulton
This network shows the impact of papers produced by Rachel Gaulton. 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 Rachel Gaulton. The network helps show where Rachel Gaulton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rachel Gaulton, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 35 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 85 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 4 | |
| 11 | Terrestrial laser scanning in forest ecology: Expanding the horizonbreakdown → | 2020 | 344 |
| 12 | 2019 | 116 | |
| 13 | 2019 | 2 | |
| 14 | 2019 | 11 | |
| 15 | 2018 | 48 | |
| 16 | 2018 | 95 | |
| 17 | 2016 | 6 | |
| 18 | 2015 | 63 | |
| 19 | 2014 | 101 | |
| 20 | 2013 | 138 |
About Rachel Gaulton
Rachel Gaulton is a scholar working on Environmental Engineering, Ecological Modeling and Nature and Landscape Conservation, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (32 papers), Remote Sensing in Agriculture (29 papers), Forest ecology and management (18 papers), Plant Water Relations and Carbon Dynamics (10 papers), Species Distribution and Climate Change (8 papers), Forest Ecology and Biodiversity Studies (4 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Wildlife Ecology and Conservation (3 papers). The work is most often cited by research in Environmental Engineering (1.2k citations), Nature and Landscape Conservation (573 citations) and Ecology (1.1k citations). Rachel Gaulton has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Elias Fernando Berra, Stuart Barr, F. Mark Danson, Magdalena Śmigaj, Juan Carlos Pinilla Suárez, Oliver Gunawan, Mathias Disney, Fernando Ramírez, Tim Malthus and Crystal Schaaf. Their work appears in journals such as Remote Sensing of Environment, Forest Ecology and Management, Remote Sensing, Interface Focus and Agricultural and Forest Meteorology.
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.