John A. Gamon
- Ecological Modeling top 0.1%
- Species Distribution and Climate Change 28
- Ecology top 0.02%
- Remote Sensing in Agriculture 94
- Global and Planetary Change top 0.05%
- Plant Water Relations and Carbon Dynamics 46
- Atmospheric and Environmental Gas Dynamics 20
- Land Use and Ecosystem Services 18
- Environmental Engineering top 0.05%
- Remote Sensing and LiDAR Applications 15
- Plant Science top 0.05%
- Plant responses to elevated CO2 23
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- Ecology and Vegetation Dynamics Studies 18
John A. Gamon
138 papers receiving 18.8k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Ecological Modeling 2.8k
- Ecology 14.1k
- Global and Planetary Change 8.7k
- Environmental Engineering 4.2k
- Plant Science 7.8k
Countries citing papers authored by John A. Gamon
This map shows the geographic impact of John A. Gamon'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 John A. Gamon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Gamon more than expected).
Fields of papers citing papers by John A. Gamon
This network shows the impact of papers produced by John A. Gamon. 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 John A. Gamon. The network helps show where John A. Gamon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John A. Gamon, 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 | 2024 | 1 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 27 | |
| 9 | A unified vegetation index for quantifying the terrestrial biospherebreakdown → | 2021 | 450 |
| 10 | 2021 | 2 | |
| 11 | 2020 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2018 | 213 | |
| 14 | Evaluating productivity-biodiversity relationship and spectral diversity in prairie grasslands under different fire management treatments using in-situ and remote sensing hyperspectral data | 2017 | 2 |
| 15 | 2017 | 91 | |
| 16 | 2016 | 271 | |
| 17 | Design and Development of a Spectral Library for Different Vegetation and Landcover Types for Arctic, Antarctic and Chihuahua Desert Ecosystem | 2008 | 2 |
| 18 | Potential of MODIS Ocean Bands for Estimating CO2 Flux from Terrestrial Vegetation: A Novel Approach | 2004 | 1 |
| 19 | 2001 | 137 | |
| 20 | 1990 | 282 |
About John A. Gamon
John A. Gamon is a scholar working on Ecological Modeling, Ecology and Global and Planetary Change, having authored 141 papers that have together received 19.7k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (94 papers), Plant Water Relations and Carbon Dynamics (46 papers), Species Distribution and Climate Change (28 papers), Plant responses to elevated CO2 (23 papers), Atmospheric and Environmental Gas Dynamics (20 papers), Ecology and Vegetation Dynamics Studies (18 papers), Land Use and Ecosystem Services (18 papers) and Remote Sensing and LiDAR Applications (15 papers). The work is most often cited by research in Ecological Modeling (2.8k citations), Ecology (14.1k citations) and Global and Planetary Change (8.7k citations). John A. Gamon has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include D. A. Sims, Josep Peñuelas, Christopher B. Field, Susan L. Ustin, Lydia Serrano, Iolanda Filella, Ran Wang, Art Fredeen, Christopher Y. S. Wong and Jeannine Cavender‐Bares. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing, New Phytologist, Oecologia and Global Change Biology.
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.