Reshmita Nath

573 citations
19 papers · 458 · h-index 9

Impact in

    • Climate variability and models
    • Land Use and Ecosystem Services
    • Hydrology and Drought Analysis
    • Plant Water Relations and Carbon Dynamics
    • Conservation, Biodiversity, and Resource Management

Papers in

    • Climate variability and models 11
    • Hydrology and Drought Analysis 3
    • Plant Water Relations and Carbon Dynamics 2
    • COVID-19 impact on air quality 2
    • Meteorological Phenomena and Simulations 6
    • Cryospheric studies and observations 4

Reshmita Nath

19 papers receiving 440 citations

Peers

Reshmita Nath
Comparison fields: 5 of 68
  • Global and Planetary Change 319
  • Soil Science 52
  • Modeling and Simulation 24
  • Atmospheric Science 96
  • Ecological Modeling 19
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Helen Greatrex United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Reshmita Nath

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Reshmita Nath Line = papers co-authored together Reshmita Nath links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201795
2 201876
3 201569
4 201458
5 201329
6 202027
7 201627
8 201820
9 201610
10 20196
11 20216
12 20196
13 20245
14 20245
15 20215
16 20215
17 20194
18 20144
19 20251

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 19 papers that have together received 458 indexed citations. Recurring topics across this work include Climate variability and models (11 papers), Meteorological Phenomena and Simulations (6 papers), Remote Sensing in Agriculture (4 papers), Cryospheric studies and observations (4 papers), Hydrology and Drought Analysis (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), COVID-19 epidemiological studies (2 papers) and COVID-19 impact on air quality (2 papers). The work is most often cited by research in Global and Planetary Change (319 citations), Soil Science (52 citations), Modeling and Simulation (24 citations), Atmospheric Science (96 citations) and Ecological Modeling (19 citations). Reshmita Nath has collaborated with scholars based in China, Saudi Arabia and Ireland. Frequent co-authors include Xuefeng Cui, Wen Chen, Debashis Nath, Chong Jiang, Qian Li, Lev D. Labzovskii, Dewang Wang, Yibo Luan, Yong Luo and Qiang Liu. Their work appears in journals such as International Journal of Climatology, npj Climate and Atmospheric Science, Scientific Reports, Sustainability and Advances in Atmospheric Sciences.

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.

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