| Prediction of the COVID-19 pandemic for the top 15 affected countries: Advanced autoregressive integrated moving average (ARIMA) model RK Singh, M Rani, AS Bhagavathula, R Sah, AJ Rodriguez-Morales, ... JMIR public health and surveillance 6 (2), e19115, 2020 | 253 | 2020 |
| Forecasting the dynamics of COVID-19 pandemic in top 15 countries in April 2020: ARIMA model with machine learning approach P Kumar, H Kalita, S Patairiya, YD Sharma, C Nanda, M Rani, J Rahmani, ... MedRxiv, 2020.03. 30.20046227, 2020 | 107 | 2020 |
| Sensors and systems for air quality assessment monitoring and management: A review D Singh, M Dahiya, R Kumar, C Nanda Journal of environmental management 289, 112510, 2021 | 67 | 2021 |
| Forecasting COVID-19 impact in India using pandemic waves Nonlinear Growth Models P Kumar, RK Singh, C Nanda, H Kalita, S Patairiya, YD Sharma, M Rani, ... MedRxiv, 2020.03. 30.20047803, 2020 | 35 | 2020 |
| Spatio-temporal distribution of pollutant trace gases during Diwali over India C Nanda, Y Kant, A Gupta, D Mitra ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018 | 15 | 2018 |
| State of air pollutants and related health risk over Haryana India as viewed from satellite platform in COVID-19 lockdown scenario D Singh, C Nanda, M Dahiya Spatial Information Research 30 (1), 47-62, 2022 | 10 | 2022 |
| Aerosol optical depth (AOD) variation over haryana due to lockdown amid Covid-19 as an indicator of air quality D Singh, C Nanda 2020 IEEE India geoscience and remote sensing symposium (InGARSS), 170-172, 2020 | 9 | 2020 |
| Prediction of the COVID-19 pandemic for the top 15 affected countries: advanced autoregressive integrated moving average (ARIMA) model. JMIR Public Health Surveill. 2020; 6: e19115 RK Singh, M Rani, AS Bhagavathula, R Sah, AJ Rodriguez-Morales, ... Comput Methods Biomech Biomed Engin, 1-8, 2020 | 6 | 2020 |
| Prediction of the COVID-19 pandemic for the top 15 affected countries: advanced autoregressive integrated moving average (ARIMA) model. JMIR Public Health Surveill. 2020 May 13 … RK Singh, M Rani, AS Bhagavathula, R Sah, AJ Rodriguez-Morales, ... | 6 | |
| Geospatial view of air pollution and health risk over North Indian region in COVID-19 scenario D Singh, M Dahiya, C Nanda Journal of the Indian Society of Remote Sensing 50 (6), 1145-1162, 2022 | 4 | 2022 |
| Forecasting the dynamics of COVID-19 pandemic in top 15 countries in April 2020: ARIMA model with machine learning approach. medRxiv preprint P Kumar, H Kalita, S Patairiya, YD Sharma, C Nanda, M Rani, J Rahmani, ... | 4 | 2020 |
| Short term nowcasting and forecasting for COVID-19 potential spread in SAARC country: a modeling study using machine learning approach C Nanda, IA Lone, R Singh, A Rai Int J Res Appl Sci Eng Technol 8 (4), 246-256, 2020 | 3 | 2020 |
| Understanding the Concept of Biomimetics for Geoinformatics Technology and its utilization for Nature-based Solutions P Patil, N Hegde, C Nanda, UK Sahoo International Journal of Ecology and Environmental Sciences 48 (5), 533-540, 2022 | | 2022 |
| Forecasting COVID-19 impact in India using pandemic waves Nonlinear Growth Models (preprint) P Kumar, RK Singh, C Nanda, H Kalita, S Patairiya, YD Sharma, M Rani, ... | | 2020 |
| Geospatial View of Air Pollution and Health Risk over North Indian Region in COVID-19 Scenario (preprint) D Singh, M Dahiya, C Nanda | | 2020 |
Himangshu KalitaPhD Student, Mechanical Engineering, The University of Arizona在 email.arizona.edu 的电子邮件经过验证
