Ajit Govind
Impact in
- Environmental Engineering top 2%
- Soil Moisture and Remote Sensing
- Remote Sensing and LiDAR Applications
- Global and Planetary Change top 5%
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
Papers in
-
- Plant Water Relations and Carbon Dynamics 16
- Climate variability and models 9
- Hydrology and Drought Analysis 6
- Ecology 20
- Remote Sensing in Agriculture 13
- Peatlands and Wetlands Ecology 7
- Co-authors
- Oliver Sonnentag (5 shared papers)Alan Barr (1 shared paper)B. D. Amiro (1 shared paper)Jing M. Chen (1 shared paper)Yongqin Zhang (1 shared paper)Jing Ming Chen (4 shared papers)Satiprasad Sahoo (16 shared papers)Chiranjit Singha (14 shared papers)
In The Last Decade
Ajit Govind
63 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 75
- Environmental Engineering 479
- Global and Planetary Change 633
- Ecology 505
- Atmospheric Science 329
- Water Science and Technology 160
Countries citing papers authored by Ajit Govind
This map shows the geographic impact of Ajit Govind'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 Ajit Govind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Govind more than expected).
Fields of papers citing papers by Ajit Govind
This network shows the impact of papers produced by Ajit Govind. 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 Ajit Govind. The network helps show where Ajit Govind may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajit Govind, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 268 | |
| 2 | 2014 | 207 | |
| 3 | 2007 | 103 | |
| 4 | 2009 | 74 | |
| 5 | 2008 | 57 | |
| 6 | 2014 | 35 | |
| 7 | 2022 | 34 | |
| 8 | 2023 | 27 | |
| 9 | 2013 | 26 | |
| 10 | 2024 | 26 | |
| 11 | 2010 | 26 | |
| 12 | 2009 | 24 | |
| 13 | 2023 | 22 | |
| 14 | 2023 | 21 | |
| 15 | 2024 | 19 | |
| 16 | 2014 | 19 | |
| 17 | 2011 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2023 | 18 | |
| 20 | 2023 | 16 |
About Ajit Govind
Ajit Govind is a scholar working on Global and Planetary Change, Ecology, Environmental Engineering, Ecology, Evolution, Behavior and Systematics and Plant Science, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (16 papers), Remote Sensing in Agriculture (13 papers), Climate change impacts on agriculture (13 papers), Climate variability and models (9 papers), Hydrology and Watershed Management Studies (8 papers), Peatlands and Wetlands Ecology (7 papers), Hydrology and Drought Analysis (6 papers) and Soil Geostatistics and Mapping (5 papers). The work is most often cited by research in Environmental Engineering (479 citations), Global and Planetary Change (633 citations), Ecology (505 citations), Atmospheric Science (329 citations) and Water Science and Technology (160 citations). Ajit Govind has collaborated with scholars based in Syria, India and Canada. Frequent co-authors include Oliver Sonnentag, Alan Barr, B. D. Amiro, Jing M. Chen, Yongqin Zhang, Jing Ming Chen, Satiprasad Sahoo, Chiranjit Singha, Ahmed M. S. Kheir and Jean‐Pierre Wigneron. Their work appears in journals such as Agronomy, Ecological Modelling, Journal of Environmental Management, Scientific Reports and Remote Sensing Applications Society and 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.