Reshmita Nath
Impact in
- Global and Planetary Change top 10%
- Climate variability and models
- Hydrology and Drought Analysis
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Modeling and Simulation top 10%
Papers in
-
- Climate variability and models 11
- Hydrology and Drought Analysis 3
- COVID-19 impact on air quality 2
-
- Meteorological Phenomena and Simulations 6
- Cryospheric studies and observations 4
- Co-authors
- Xuefeng Cui (7 shared papers)Wen Chen (8 shared papers)Debashis Nath (7 shared papers)Qian Li (2 shared papers)Yong Luo (5 shared papers)Yibo Luan (3 shared papers)Bin He (2 shared papers)Lijuan Miao (2 shared papers)
- Journals
- International Journal of Climatology (3 papers)Scientific Reports (2 papers)npj Climate and Atmospheric Science (2 papers)Sustainability (2 papers)South African Journal of Science (1 paper)
- Partner nations
- ChinaSaudi ArabiaIreland
In The Last Decade
Reshmita Nath
17 papers receiving 338 citations
Peers
Comparison fields: 5 of 69
- Global and Planetary Change 243
- Modeling and Simulation 23
- Atmospheric Science 83
- Ecological Modeling 18
- Ecology 84
Countries citing papers authored by Reshmita Nath
This map shows the geographic impact of Reshmita Nath'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 Reshmita Nath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reshmita Nath more than expected).
Fields of papers citing papers by Reshmita Nath
This network shows the impact of papers produced by Reshmita Nath. 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 Reshmita Nath. The network helps show where Reshmita Nath may publish in the future.
Co-authors
The 25 scholars most cited alongside Reshmita Nath, 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 | 2017 | 89 | |
| 2 | 2015 | 61 | |
| 3 | 2014 | 57 | |
| 4 | 2013 | 28 | |
| 5 | 2020 | 26 | |
| 6 | 2016 | 25 | |
| 7 | 2018 | 18 | |
| 8 | 2016 | 10 | |
| 9 | 2019 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2019 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2014 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 0 |
About Reshmita Nath
Reshmita Nath is a scholar working on Global and Planetary Change, Atmospheric Science, Ecology, Water Science and Technology and Modeling and Simulation, having authored 18 papers that have together received 356 indexed citations. Recurring topics across this work include Climate variability and models (11 papers), Meteorological Phenomena and Simulations (6 papers), Cryospheric studies and observations (4 papers), Hydrology and Drought Analysis (3 papers), Remote Sensing in Agriculture (3 papers), Hydrology and Watershed Management Studies (2 papers), COVID-19 impact on air quality (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Global and Planetary Change (243 citations), Modeling and Simulation (23 citations), Atmospheric Science (83 citations), Ecological Modeling (18 citations) and Ecology (84 citations). Reshmita Nath has collaborated with scholars based in China, Saudi Arabia and Ireland. Frequent co-authors include Xuefeng Cui, Wen Chen, Debashis Nath, Qian Li, Yong Luo, Yibo Luan, Bin He, Lijuan Miao, Qiang Liu and Qian Li. Their work appears in journals such as International Journal of Climatology, Scientific Reports, npj Climate and Atmospheric Science, Sustainability and South African Journal of 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.