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Pratyush Agrawal

Observed name: Agrawal, Pratyush
ORCID: 0000-0003-4298-7854
Observed ORCID: 0000-0003-4298-7854
OpenAlex ID: A5029004224
Seasonally optimized calibrations improve low-cost sensor performance: long-term field evaluation of PurpleAir sensors in urban and rural India
2023 · Mark Joseph Campmier, Jonathan Gingrich, et al. · Atmospheric measurement techniques · 35
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A Compressed Sensing Approach to Group-testing for COVID-19 Detection
2020 · Sabyasachi Ghosh, Rishi Agarwal, et al. · arXiv (Cornell University) · 28
Multi-season mobile monitoring campaign of on-road air pollution in Bengaluru, India: High-resolution mapping and estimation of quasi-emission factors
2024 · Adithi R. Upadhya, Meenakshi Kushwaha, et al. · The Science of The Total Environment · 21
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Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models
2023 · - Srishti S, Pratyush Agrawal, et al. · Aerosol and Air Quality Research · 19
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Urban Air-Quality Estimation Using Visual Cues and a Deep Convolutional Neural Network in Bengaluru (Bangalore), India
2023 · Alon Feldman, Shai Kendler, et al. · Environmental Science & Technology · 14
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Inter- versus Intracity Variations in the Performance and Calibration of Low-Cost PM2.5 Sensors: A Multicity Assessment in India
2022 · Sreekanth V, Ajay Bhargav R, et al. · ACS Earth and Space Chemistry · 12
Bias in PM2.5 measurements using collocated reference-grade and optical instruments
2022 · Meenakshi Kushwaha, V. Sreekanth, et al. · Environmental Monitoring and Assessment · 10
Development of Land Use Regression (LUR) models and high-resolution spatial mapping of criteria air pollutants: Leveraging Delhi's continuous air monitoring network and remote sensing data
2024 · Pratyush Agrawal, Adithi R. Upadhya, et al. · Journal of Atmospheric and Solar-Terrestrial Physics · 6
pollucheck v1.0: A package to explore open-source air pollution data
2021 · Adithi Upadhya, Pratyush Agrawal, et al. · The Journal of Open Source Software · 4
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Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia
2023 · Bujin Bekbulat, Pratyush Agrawal, et al. · Sensors · 3
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mmaqshiny v1.0: R-Shiny package to explore Air-Quality Mobile-Monitoring data
2020 · Adithi Upadhya, Pratyush Agrawal, et al. · The Journal of Open Source Software · 3
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Machine Learning versus Land Use Regression: Fine-scale spatial predictions of on-road air pollution levels in Bengaluru, India
2023 · Srishti Srishti, Adithi R Upadhya, et al. · ISEE Conference Abstracts
Supplementary material to "Site and Season Specific Calibrations Improve Low-cost Sensor Performance: Long-term Field Evaluation of PurpleAir Sensors in Urban and Rural India"
2023 · Mark Joseph Campmier, Jonathan Gingrich, et al.
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Development of land use regression (LUR) models for criteria air pollutants in Delhi: Use of regulatory monitoring data
2023 · Adithi Upadhya, Padmavati Kulkarni, et al. · EGU General Assembly Conference Abstracts
Correcting PM2.5 data from low-cost sensors using machine learning techniques
2023 · Pratyush Agrawal, Srishti Srishti, et al. · EGU General Assembly Conference Abstracts
Application of an ultra-low-cost passive sampler for light-absorbing carbon in India and Mongolia
2022 · Bujin Bekbulat, Pratyush Agrawal, et al. · ISEE Conference Abstracts
Application of an ultra-low-cost passive sampler for light-absorbing carbon in India and Mongolia
2021 · Bujin Bekbulat, Pratyush Agrawal, et al. · ISEE Conference Abstracts
Works count: 19
Citation count: 157
H-index: 7
I10-index: 7
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