Inian Moorthy
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
- Ecology top 2%
- Remote Sensing in Agriculture
Papers in
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- Species Distribution and Climate Change 13
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- Geographic Information Systems Studies 11
- Co-authors
- John R. Miller (7 shared papers)Linda See (27 shared papers)Steffen Fritz (19 shared papers)Thomas L. Noland (4 shared papers)Baoxin Hu (3 shared papers)Pablo J. Zarco‐Tejada (5 shared papers)Dilek Fraisl (13 shared papers)Juan Carlos Laso Bayas (12 shared papers)
In The Last Decade
Inian Moorthy
37 papers receiving 2.0k citations
Inian Moorthy's Hit Papers
Peers
Comparison fields: 5 of 141
- Ecological Modeling 440
- Ecology 757
- Environmental Engineering 424
- Global and Planetary Change 614
- Geography, Planning and Development 103
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-authors
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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Citizen science and the United Nations Sustainable Development Goals Hit paper breakdown → | 2019 | 475 |
| 2 | Mapping citizen science contributions to the UN sustainable development goals Hit paper breakdown → | 2020 | 296 |
| 3 | 2018 | 245 | |
| 4 | 2018 | 148 | |
| 5 | 2010 | 140 | |
| 6 | 2008 | 115 | |
| 7 | 2008 | 93 | |
| 8 | 2016 | 84 | |
| 9 | 2002 | 70 | |
| 10 | 2018 | 66 | |
| 11 | 2022 | 57 | |
| 12 | 2016 | 53 | |
| 13 | 2017 | 31 | |
| 14 | 2021 | 29 | |
| 15 | 2018 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2019 | 19 | |
| 18 | 2004 | 19 | |
| 19 | 2004 | 16 | |
| 20 | 2018 | 15 |
About Inian Moorthy
Inian Moorthy is a scholar working on Ecological Modeling, Geography, Planning and Development, Ecology, Global and Planetary Change and Environmental Engineering, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (16 papers), Species Distribution and Climate Change (13 papers), Geographic Information Systems Studies (11 papers), Land Use and Ecosystem Services (9 papers), Remote Sensing and LiDAR Applications (7 papers), Data-Driven Disease Surveillance (4 papers), Forest ecology and management (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Ecological Modeling (440 citations), Ecology (757 citations), Environmental Engineering (424 citations), Global and Planetary Change (614 citations) and Geography, Planning and Development (103 citations). Inian Moorthy has collaborated with scholars based in Austria, Canada and Spain. Frequent co-authors include John R. Miller, Linda See, Steffen Fritz, Thomas L. Noland, Baoxin Hu, Pablo J. Zarco‐Tejada, Dilek Fraisl, Juan Carlos Laso Bayas, Ian McCallum and Jillian Campbell. Their work appears in journals such as Remote Sensing, Canadian Journal of Remote Sensing, iScience, Agricultural Systems and Remote Sensing of Environment.
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.