Inian Moorthy
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
Papers in
- Ecology 17
- Remote Sensing in Agriculture 16
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- Species Distribution and Climate Change 14
- Co-authors
- John R. Miller (7 shared papers)Linda See (28 shared papers)Steffen Fritz (22 shared papers)Baoxin Hu (3 shared papers)Thomas L. Noland (4 shared papers)Ian McCallum (17 shared papers)Tobias Sturn (16 shared papers)Juan Carlos Laso Bayas (13 shared papers)
In The Last Decade
Inian Moorthy
37 papers receiving 1.2k citations
Inian Moorthy's Hit Papers
Peers
Comparison fields: 5 of 112
- Ecological Modeling 237
- Environmental Engineering 356
- Ecology 539
- Global and Planetary Change 429
- 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-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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mapping citizen science contributions to the UN sustainable development goals Hit paper breakdown → | 2020 | 255 |
| 2 | 2010 | 137 | |
| 3 | 2017 | 134 | |
| 4 | 2008 | 100 | |
| 5 | 2008 | 94 | |
| 6 | 2016 | 77 | |
| 7 | 2002 | 66 | |
| 8 | 2018 | 61 | |
| 9 | 2016 | 51 | |
| 10 | 2022 | 50 | |
| 11 | 2017 | 30 | |
| 12 | 2021 | 26 | |
| 13 | 2018 | 21 | |
| 14 | 2020 | 20 | |
| 15 | 2018 | 20 | |
| 16 | 2019 | 15 | |
| 17 | 2018 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2018 | 11 | |
| 20 | 2021 | 10 |
About Inian Moorthy
Inian Moorthy is a scholar working on Ecology, Ecological Modeling, Global and Planetary Change, Geography, Planning and Development and Environmental Engineering, having authored 39 papers that have together received 1.3k 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), Human Mobility and Location-Based Analysis (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Ecological Modeling (237 citations), Environmental Engineering (356 citations), Ecology (539 citations), Global and Planetary Change (429 citations) and Geography, Planning and Development (91 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, Nature Communications, iScience, Mountain Research and Development and International Journal of Disaster Risk 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.