Mayank Suman

406 citations
14 papers · 296 · h-index 10

Impact in

    • Climate variability and models
    • Hydrology and Drought Analysis
    • Atmospheric aerosols and clouds
    • Atmospheric chemistry and aerosols
    • Meteorological Phenomena and Simulations
    • Atmospheric Ozone and Climate

Papers in

Mayank Suman

14 papers receiving 294 citations

Peers

Mayank Suman
Comparison fields: 5 of 37
  • Global and Planetary Change 252
  • Atmospheric Science 161
  • Water Science and Technology 66
  • Environmental Engineering 57
  • Health, Toxicology and Mutagenesis 36
Replace Zhen Liao with:
Zhen Liao China
Fengxue Qiao China
Chandra Rupa Rajulapati Canada
Wenqing Lin China
Anjana Devanand India
Chakrit Chotamonsak Thailand
Nidhi Nishant Australia
Yamin Qing Hong Kong
Sheau Tieh Ngai Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Mayank Suman

Since Specialization
Citations

This map shows the geographic impact of Mayank Suman'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 Mayank Suman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Suman more than expected).

Fields of papers citing papers by Mayank Suman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayank Suman. 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 Mayank Suman. The network helps show where Mayank Suman may publish in the future.

Co-authors

The 23 scholars most cited alongside Mayank Suman, 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 Mayank Suman Line = papers co-authored together Mayank Suman links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201660
2 202050
3 201938
4 201432
5 201427
6 201317
7 202116
8 201615
9 202011
10 202111
11 20218
12 20196
13 20194
14 20211

About Mayank Suman

Mayank Suman is a scholar working on Global and Planetary Change, Atmospheric Science, Water Science and Technology, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 14 papers that have together received 296 indexed citations. Recurring topics across this work include Climate variability and models (8 papers), Meteorological Phenomena and Simulations (5 papers), Atmospheric aerosols and clouds (4 papers), Hydrology and Watershed Management Studies (4 papers), Hydrology and Drought Analysis (4 papers), Atmospheric chemistry and aerosols (4 papers), Hydrological Forecasting Using AI (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Global and Planetary Change (252 citations), Atmospheric Science (161 citations), Water Science and Technology (66 citations), Environmental Engineering (57 citations) and Health, Toxicology and Mutagenesis (36 citations). Mayank Suman has collaborated with scholars based in India, Germany and China. Frequent co-authors include Rajib Maity, Harish Gadhavi, Harald Kunstmann, A. Jayaraman, Patrick Laux, S. Vijaya Bhaskara Rao, V. Ravi Kiran, R. Ravikrishna, Sachin S. Gunthe and Hema Srivastava. Their work appears in journals such as Journal of Hydrology, Atmospheric Environment, Scientific Reports, Atmospheric measurement techniques and Journal of Hydrometeorology.

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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