| The SET HASDM density database WK Tobiska, BR Bowman, SD Bouwer, A Cruz, K Wahl, MD Pilinski, ... Space Weather 19 (4), e2020SW002682, 2021 | 52 | 2021 |
| Machine‐learned HASDM thermospheric mass density model with uncertainty quantification RJ Licata, PM Mehta, WK Tobiska, S Huzurbazar Space Weather 20 (4), e2021SW002915, 2022 | 31 | 2022 |
| Benchmarking forecasting models for space weather drivers RJ Licata, WK Tobiska, PM Mehta Space Weather 18 (10), e2020SW002496, 2020 | 28 | 2020 |
| Qualitative and quantitative assessment of the SET HASDM database RJ Licata, PM Mehta, WK Tobiska, BR Bowman, MD Pilinski Space Weather 19 (8), e2021SW002798, 2021 | 22 | 2021 |
| Uncertainty quantification techniques for data-driven space weather modeling: thermospheric density application RJ Licata, PM Mehta Scientific Reports 12 (1), 7256, 2022 | 16 | 2022 |
| The current state and future directions of modeling thermosphere density enhancements during extreme magnetic storms DM Oliveira, E Zesta, PM Mehta, RJ Licata, MD Pilinski, WK Tobiska, ... Frontiers in Astronomy and Space Sciences 8, 764144, 2021 | 15 | 2021 |
| Improved neutral density predictions through machine learning enabled exospheric temperature model RJ Licata, PM Mehta, DR Weimer, WK Tobiska Space Weather 19 (12), e2021SW002918, 2021 | 10 | 2021 |
| MSIS‐UQ: Calibrated and enhanced NRLMSIS 2.0 model with uncertainty quantification RJ Licata, PM Mehta, DR Weimer, WK Tobiska, J Yoshii Space Weather 20 (11), e2022SW003267, 2022 | 9 | 2022 |
| Impact of space weather driver forecast uncertainty on drag and orbit prediction RJ Licata, PM Mehta, WK Tobiska Proceedings of the 2020 AAS/AIAA Astrodynamics Specialist Conference, South …, 2020 | 9 | 2020 |
| Science through machine learning: Quantification of post‐storm thermospheric cooling RJ Licata, PM Mehta, DR Weimer, DP Drob, WK Tobiska, J Yoshii Space Weather 20 (9), e2022SW003189, 2022 | 8 | 2022 |
| Reduced order probabilistic emulation for physics‐based thermosphere models RJ Licata, PM Mehta Space Weather 21 (5), e2022SW003345, 2023 | 7 | 2023 |
| Comparison of a neutral density model with the SET HASDM density database DR Weimer, WK Tobiska, PM Mehta, RJ Licata, DP Drob, J Yoshii Space Weather 19 (12), e2021SW002888, 2021 | 7 | 2021 |
| Impact of driver and model uncertainty on drag and orbit prediction R Licata, P Mehta, WK Tobiska Proceedings of the 31st AAS/AIAA space flight mechanics meeting, 2021 | 7 | 2021 |
| Physics-informed machine learning with autoencoders and LSTM for probabilistic space weather modeling and forecasting RJ Licata, PM Mehta 100th American Meteorological Society Annual Meeting, 2020 | 6 | 2020 |
| Advanced ensemble modeling method for space object state prediction accounting for uncertainty in atmospheric density SN Paul, RJ Licata, PM Mehta Advances in Space Research 71 (6), 2535-2549, 2023 | 5 | 2023 |
| Uncertainty quantification techniques for space weather modeling: Thermospheric density application RJ Licata, PM Mehta arXiv preprint arXiv:2201.02067, 2022 | 4 | 2022 |
| Machine-learned HASDM model with uncertainty quantification RJ Licata, PM Mehta, WK Tobiska, S Huzurbazar arXiv preprint arXiv:2109.07651, 2021 | 4 | 2021 |
| Stochastic modeling of physical drag coefficient–Its impact on orbit prediction and space traffic management SN Paul, PL Sheridan, RJ Licata, PM Mehta Advances in Space Research 72 (4), 922-939, 2023 | 3 | 2023 |
| Global variations in the time delays between polar ionospheric heating and the neutral density response DR Weimer, PM Mehta, RJ Licata, WK Tobiska Space Weather 21 (4), e2022SW003410, 2023 | 3 | 2023 |
| Data-driven HASDM density model using machine learning R Licata, P Mehta, WK Tobiska Authorea Preprints, 2022 | 2 | 2022 |
