Inian Moorthy
- Ecological Modeling top 2%
- Species Distribution and Climate Change 14
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 7
- Ecology top 5%
- Remote Sensing in Agriculture 16
- Global and Planetary Change top 5%
- Land Use and Ecosystem Services 8
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- Geographic Information Systems Studies 11
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- Data-Driven Disease Surveillance 4
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- Forest ecology and management 3
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- Remote-Sensing Image Classification 3
In The Last Decade
Inian Moorthy
37 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Ecological Modeling 236
- Environmental Engineering 354
- Ecology 537
- Global and Planetary Change 420
- Geography, Planning and Development 91
Countries citing papers authored by Inian Moorthy
This map shows the geographic impact of Inian Moorthy'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 Inian Moorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inian Moorthy more than expected).
Fields of papers citing papers by Inian Moorthy
This network shows the impact of papers produced by Inian Moorthy. 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 Inian Moorthy. The network helps show where Inian Moorthy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Inian Moorthy, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2022 | 46 | |
| 4 | 2020 | 20 | |
| 5 | 2019 | 15 | |
| 6 | Tracking poverty using satellite imagery and big data | 2019 | 1 |
| 7 | FotoQuest Go: A Citizen Science Approach to the Collection of In-Situ Land Cover and Land Use Data for Calibration and Validation | 2019 | 4 |
| 8 | Improving Cloud Detection in Satellite Imagery using a Citizen Science Approach | 2019 | 3 |
| 9 | 2018 | 20 | |
| 10 | 2018 | 2 | |
| 11 | Global Field Sizes Dataset for Ecosystems Modeling | 2018 | 1 |
| 12 | FotoQuest Go: A citizen science tool for in-situ land use and land cover monitoring | 2018 | 1 |
| 13 | WeObserve: An Ecosystem of Citizen Observatories for Environmental Monitoring | 2018 | 3 |
| 14 | 2018 | 20 | |
| 15 | 2018 | 60 | |
| 16 | 2017 | 130 | |
| 17 | Assessing the quality of crowdsourced in-situ land-use and land cover data from FotoQuest Austria application | 2016 | 1 |
| 18 | 2016 | 4 | |
| 19 | 2008 | 98 | |
| 20 | 2002 | 66 |
About Inian Moorthy
Inian Moorthy is a scholar working on Ecological Modeling, Geography, Planning and Development and Ecology, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (16 papers), Species Distribution and Climate Change (14 papers), Geographic Information Systems Studies (11 papers), Land Use and Ecosystem Services (8 papers), Remote Sensing and LiDAR Applications (7 papers), Data-Driven Disease Surveillance (4 papers), Forest ecology and management (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Ecological Modeling (236 citations), Environmental Engineering (354 citations) and Ecology (537 citations). Inian Moorthy has collaborated with scholars based in Austria, Canada and Spain. Frequent co-authors include John R. Miller, Linda See, Steffen Fritz, Baoxin Hu, Thomas L. Noland, Ian McCallum, Tobias Sturn, Juan Carlos Laso Bayas, Pablo J. Zarco‐Tejada and Dilek Fraisl. Their work appears in journals such as Remote Sensing, iScience, Nature Communications, Remote Sensing of Environment and Sustainability Science.
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.