Akash Yadav

Indian Institute of Technology Kanpur

Papers

3

Total Citations

38

H-Index

3

About

Akash Yadav is a researcher whose work spans two distinct but increasingly relevant fields: atmospheric science and artificial intelligence applications in industry. His most significant contributions lie in atmospheric modeling, particularly in simulating trace gases and aerosols over the Indian subcontinent. Through the implementation of the WRF-Chem (Weather Research and Forecasting/Chemistry) model, Yadav evaluated aerosol properties and chemical transport across India during the summers of 2008 through 2010, providing valuable insights into regional air quality and atmospheric dynamics. These studies, published in 2013 and 2014, have collectively garnered over 34 citations, reflecting their impact within the atmospheric science and environmental modeling communities. His research helps advance understanding of how pollutants and aerosols behave over South Asia, a region facing significant air quality challenges. More recently, Yadav has expanded his research interests into artificial intelligence, contributing a data analysis review in 2021 examining how AI is reshaping the banking industry. This interdisciplinary reach highlights his adaptability as a researcher, bridging environmental science and emerging technology to address contemporary challenges across multiple domains.

Research Focus

Key Achievements

3
H-Index
3
Papers
38
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Simulation of trace gases and aerosols over the Indian domain: evaluation of the WRF-Chem model
20 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Indian Institute of Technology Kanpur

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago