Anu Swatantran
- Environmental Engineering top 1%
- Remote Sensing and LiDAR Applications 21
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- Forest ecology and management 12
- Ecological Modeling top 5%
- Species Distribution and Climate Change 3
- Ecology top 5%
- Remote Sensing in Agriculture 11
- Instrumentation top 10%
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- Forest Management and Policy 8
- Fire effects on ecosystems 7
- Atmospheric and Environmental Gas Dynamics 3
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- Crop Yield and Soil Fertility 2
Anu Swatantran
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Environmental Engineering 710
- Nature and Landscape Conservation 389
- Ecological Modeling 109
- Ecology 570
- Instrumentation 63
Countries citing papers authored by Anu Swatantran
This map shows the geographic impact of Anu Swatantran'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 Anu Swatantran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anu Swatantran more than expected).
Fields of papers citing papers by Anu Swatantran
This network shows the impact of papers produced by Anu Swatantran. 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 Anu Swatantran. The network helps show where Anu Swatantran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anu Swatantran, 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 | 14 | |
| 2 | 2021 | 38 | |
| 3 | 2020 | 15 | |
| 4 | 2019 | 41 | |
| 5 | 2019 | 36 | |
| 6 | 2017 | 34 | |
| 7 | 2016 | 121 | |
| 8 | 2016 | 43 | |
| 9 | High-Resolution Modeling Disturbance-Induced Forest Carbon Dynamics with Lidar and Landsat Observations | 2015 | 1 |
| 10 | 2015 | 35 | |
| 11 | 2015 | 128 | |
| 12 | 2015 | 1 | |
| 13 | The Global Ecosystem Dynamics Investigation | 2014 | 29 |
| 14 | 2014 | 39 | |
| 15 | High Resolution Carbon Estimation Using Remote Sensing and Ecosystem Modeling In NASA's Carbon Modeling System | 2014 | 2 |
| 16 | 2014 | 3 | |
| 17 | 2012 | 56 | |
| 18 | How important is individual tree information for biomass modeling and mapping | 2012 | 3 |
| 19 | 2012 | 158 | |
| 20 | Mapping Potential Ivory Billed Woodpecker Habitat using Lidar and Hyperspectral Data Fusion | 2008 | 2 |
About Anu Swatantran
Anu Swatantran is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Global and Planetary Change, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (21 papers), Forest ecology and management (12 papers), Remote Sensing in Agriculture (11 papers), Forest Management and Policy (8 papers), Fire effects on ecosystems (7 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Species Distribution and Climate Change (3 papers) and Crop Yield and Soil Fertility (2 papers). The work is most often cited by research in Environmental Engineering (710 citations), Nature and Landscape Conservation (389 citations) and Ecological Modeling (109 citations). Anu Swatantran has collaborated with scholars based in United States and China. Frequent co-authors include Ralph Dubayah, M. A. Hofton, Hao Tang, J. B. Blair, Kristofer Johnson, Dar A. Roberts, Phil DeCola, Jarlath O’Neil‐Dunne, David B. Clark and Sage Sheldon. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing, Carbon Balance and Management, Environmental Research Letters and PLoS ONE.
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.