| Tropical cyclone intensity estimation using a deep convolutional neural network R Pradhan, RS Aygun, M Maskey, R Ramachandran, DJ Cecil IEEE transactions on image processing 27 (2), 692-702, 2017 | 249 | 2017 |
| Service-oriented environments for dynamically interacting with mesoscale weather KK Droegemeier, D Gannon, D Reed, B Plale, J Alameda, T Baltzer, ... Computing in Science & Engineering 7 (06), 12-29, 2005 | 172 | 2005 |
| From open data to open science R Ramachandran, K Bugbee, K Murphy Earth and Space Science 8 (5), e2020EA001562, 2021 | 120 | 2021 |
| ADaM: a data mining toolkit for scientists and engineers J Rushing, R Ramachandran, U Nair, S Graves, R Welch, H Lin Computers & geosciences 31 (5), 607-618, 2005 | 114 | 2005 |
| Foundation models for generalist geospatial artificial intelligence J Jakubik, S Roy, CE Phillips, P Fraccaro, D Godwin, B Zadrozny, ... arXiv preprint arXiv:2310.18660, 2023 | 93 | 2023 |
| Linked environments for atmospheric discovery (LEAD): A cyberinfrastructure for mesoscale meteorology research and education KK Droegemeier, V Chandrasekar, R Clark, D Gannon, S Graves, ... 20th Conf. on Interactive Information Processing Systems for Meteorology …, 2004 | 89 | 2004 |
| Deepti: Deep-learning-based tropical cyclone intensity estimation system M Maskey, R Ramachandran, M Ramasubramanian, I Gurung, B Freitag, ... IEEE journal of selected topics in applied Earth observations and remote …, 2020 | 71 | 2020 |
| Real-time storm detection and weather forecast activation through data mining and events processing X Li, B Plale, N Vijayakumar, R Ramachandran, S Graves, H Conover Earth Science Informatics 1, 49-57, 2008 | 66 | 2008 |
| Earth Science Markup Language (ESML):: a solution for scientific data-application interoperability problem R Ramachandran, S Graves, H Conover, K Moe Computers & Geosciences 30 (1), 117-124, 2004 | 56 | 2004 |
| A joint ESA-NASA multi-mission algorithm and analysis platform (MAAP) for biomass, NISAR, and GEDI C Albinet, AS Whitehurst, LA Jewell, K Bugbee, H Laur, KJ Murphy, ... Surveys in Geophysics 40, 1017-1027, 2019 | 42 | 2019 |
| Recent activities in Earth data science [technical committees] P Yue, R Ramachandran, P Baumann, SJS Khalsa, M Deng, L Jiang IEEE Geoscience and Remote Sensing Magazine 4 (4), 84-89, 2016 | 37 | 2016 |
| Advancing AI for Earth science: A data systems perspective M Maskey ESA EO Phiweek, 2020 | 34 | 2020 |
| Linked environments for atmospheric discovery (lead): Architecture, technology roadmap and deployment strategy KK Droegemeier, V Chandrasekar, R Clark, D Gannon, S Graves, ... 21st Conference on Interactive Information Processing Systems for …, 2005 | 33 | 2005 |
| Detection of cumulus cloud fields in satellite imagery US Nair, JA Rushing, R Ramachandran, KS Kuo, RM Welch, SJ Graves Earth Observing Systems IV 3750, 345-355, 1999 | 28 | 1999 |
| Ontology-based semantic search tool for atmospheric science R Ramachandran, S Movva, S Graves, S Tanner 22nd Intl. conf. on interactive information processing systems (IIPS), 86th …, 2006 | 27 | 2006 |
| Method and apparatus analyzing and monitoring the performance and operation of machines and processes driven by electrical motors L Higgins, R Murphy, R Ramachandran US Patent 3,839,628, 1974 | 26 | 1974 |
| Detection of transverse cirrus bands in satellite imagery using deep learning J Miller, U Nair, R Ramachandran, M Maskey Computers & Geosciences 118, 79-85, 2018 | 24 | 2018 |
| Comparing different thresholding algorithms for segmenting auroras X Li, R Ramachandran, M He, S Movva, J Rushing, S Graves, W Lyatsky, ... International Conference on Information Technology: Coding and Computing …, 2004 | 24 | 2004 |
| Ai foundation models for weather and climate: Applications, design, and implementation SK Mukkavilli, DS Civitarese, J Schmude, J Jakubik, A Jones, N Nguyen, ... arXiv preprint arXiv:2309.10808, 2023 | 23 | 2023 |
| Applying deep learning to hail detection: A case study M Pullman, I Gurung, M Maskey, R Ramachandran, SA Christopher IEEE Transactions on Geoscience and Remote Sensing 57 (12), 10218-10225, 2019 | 18 | 2019 |