| Digital revolution and Big Data: a new revolution in agriculture. S Himesh, EVSP Rao, KC Gouda, KV Ramesh, V Rakesh, GN Mohapatra, ... CABI Reviews, 1-7, 2018 | 107 | 2018 |
| Indian Ocean‐monsoon coupled interactions and impending monsoon droughts R Krishnan, KV Ramesh, BK Samala, G Meyers, JM Slingo, MJ Fennessy Geophysical research letters 33 (8), 2006 | 104 | 2006 |
| Reduction in temporal and spatial extent of the Indian summer monsoon KV Ramesh, P Goswami Geophysical Research Letters 34 (23), 2007 | 98 | 2007 |
| Assessing reliability of regional climate projections: the case of Indian monsoon KV Ramesh, P Goswami Scientific Reports 4, 2014 | 97 | 2014 |
| The abnormal Indian summer monsoon of 2000 R Krishnan, M Mujumdar, V Vaidya, KV Ramesh, V Satyan Journal of climate 16 (8), 1177-1194, 2003 | 59 | 2003 |
| The shrinking Indian summer monsoon KV Ramesh, P Goswami CSIR report RR CM 709, 2007 | 35 | 2007 |
| Coupling of mixed layer processes and thermocline variations in the Arabian Sea KV Ramesh, R Krishnan Journal of Geophysical Research: Oceans 110 (C5), 2005 | 31 | 2005 |
| Extreme rainfall events: vulnerability analysis for disaster management and observation system design P Goswami, KV Ramesh Current Science, 1037-1044, 2008 | 30 | 2008 |
| Quantification and understanding the observed changes in land cover patterns in Bangalore EC Alex, KV Ramesh, H Sridevi International Journal of Civil Engineering and Technology 8 (4), 597-603, 2017 | 29 | 2017 |
| Urban extreme rainfall events: categorical skill of WRF model simulations for localized and non‐localized events GN Mohapatra, V Rakesh, KV Ramesh Quarterly Journal of the Royal Meteorological Society 143 (707), 2340-2351, 2017 | 22 | 2017 |
| Modelling the impact of agrometeorological variables on regional tea yield variability in South Indian tea-growing regions: 1981-2015 EE Raj, KV Ramesh, R Rajkumar Cogent Food & Agriculture 5 (1), 1581457, 2019 | 20 | 2019 |
| Application of big data analytics and artificial intelligence in agronomic research KV Ramesh, V Rakesh, EVSP Rao Indian Journal of Agronomy 65 (4), 383-395, 2020 | 19 | 2020 |
| Big Data analytics and Artificial Intelligence methods for decision making in agriculture E Rao, V Rakesh, KV Ramesh Indian Journal of Agronomy 66, S279-S287, 2021 | 16 | 2021 |
| The expanding Indian desert: Assessment through weighted epochal trend ensemble P Goswami, KV Ramesh Current Science, 476-480, 2008 | 16 | 2008 |
| Improved learning by using a modified activation function of a Convolutional Neural Network in multi-spectral image classification RK Vasanthakumari, RV Nair, VG Krishnappa Machine Learning with Applications 14, 100502, 2023 | 13 | 2023 |
| Understanding the spatio-temporal structure of recent heat waves over India C Neethu, KV Ramesh, KB Shafeer Natural Hazards 102 (2), 673-688, 2020 | 13 | 2020 |
| Optimizing LSTM and Bi-LSTM models for crop yield prediction and comparison of their performance with traditional machine learning techniques V Kiran Kumar, KV Ramesh, V Rakesh Applied Intelligence 53 (23), 28291-28309, 2023 | 12 | 2023 |
| El Niño–Southern Oscillation (ENSO) impact on tea production and rainfall in South India EE Raj, RR Kumar, KV Ramesh Journal of Applied Meteorology and Climatology 59 (4), 651-664, 2020 | 12 | 2020 |
| A comparison of interpolated NCEP (I‐NCEP) rainfall with high‐resolution satellite observations P Goswami, KV Ramesh Geophysical research letters 33 (19), 2006 | 12 | 2006 |
| High-resolution spatiotemporal variability of heat wave impacts quantified by thermal indices C Neethu, KV Ramesh Theoretical and Applied Climatology 148 (3), 1181-1198, 2022 | 11 | 2022 |
Krishnan RaghavanIndian Institute of Tropical Meteorology, PuneAdresse e-mail validée de tropmet.res.in