Rajasri Ray
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Forestry top 10%
- African Botany and Ecology Studies
Papers in
-
- Ethnobotanical and Medicinal Plants Studies 4
- GABA and Rice Research 2
- Rice Cultivation and Yield Improvement 2
- Genetics 5
- Genetic Mapping and Diversity in Plants and Animals 2
- Co-authors
- Avik Ray (6 shared papers)T. V. Ramachandra (4 shared papers)M. D. Subash Chandran (3 shared papers)KV Gururaja (1 shared paper)Debal Deb (1 shared paper)Kritika M. Garg (2 shared papers)Frank E. Rheindt (2 shared papers)Balaji Chattopadhyay (2 shared papers)
In The Last Decade
Rajasri Ray
12 papers receiving 236 citations
Peers
Comparison fields: 5 of 59
- Ecological Modeling 40
- Forestry 22
- Nature and Landscape Conservation 42
- Plant Science 117
- Ecology, Evolution, Behavior and Systematics 49
Countries citing papers authored by Rajasri Ray
This map shows the geographic impact of Rajasri Ray'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 Rajasri Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajasri Ray more than expected).
Fields of papers citing papers by Rajasri Ray
This network shows the impact of papers produced by Rajasri Ray. 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 Rajasri Ray. The network helps show where Rajasri Ray may publish in the future.
Co-authors
The 10 scholars most cited alongside Rajasri Ray, 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 | 2020 | 63 | |
| 2 | Predictive distribution modeling for rare Himalayan medicinal plant Berberis aristata DC. | 2011 | 44 |
| 3 | 2013 | 35 | |
| 4 | 2014 | 26 | |
| 5 | Small sacred groves in local landscape: are they really worthy for conservation? | 2010 | 20 |
| 6 | 2019 | 19 | |
| 7 | 2020 | 15 | |
| 8 | 2014 | 13 | |
| 9 | Hydrological importance of sacred forest fragments in Central Western Ghats of India | 2015 | 10 |
| 10 | 2022 | 5 | |
| 11 | 2020 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2023 | 0 | |
| 14 | 2021 | 0 |
About Rajasri Ray
Rajasri Ray is a scholar working on Plant Science, Genetics, Global and Planetary Change, Molecular Biology and Nature and Landscape Conservation, having authored 14 papers that have together received 254 indexed citations. Recurring topics across this work include Ethnobotanical and Medicinal Plants Studies (4 papers), GABA and Rice Research (2 papers), Rice Cultivation and Yield Improvement (2 papers), Rangeland Management and Livestock Ecology (2 papers), Species Distribution and Climate Change (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Genomics and Phylogenetic Studies (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Ecological Modeling (40 citations), Forestry (22 citations), Nature and Landscape Conservation (42 citations), Plant Science (117 citations) and Ecology, Evolution, Behavior and Systematics (49 citations). Rajasri Ray has collaborated with scholars based in India, Singapore and Canada. Frequent co-authors include Avik Ray, T. V. Ramachandra, M. D. Subash Chandran, KV Gururaja, Debal Deb, Kritika M. Garg, Frank E. Rheindt, Balaji Chattopadhyay, Ian H. Mendenhall and G. Ravikanth. Their work appears in journals such as Biodiversity and Conservation, AoB Plants, Frontiers in Sustainable Food Systems, Genome Biology and Evolution and Journal of Forestry Research.
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.