| Hodographic-shaping method for low-thrust interplanetary trajectory design DJ Gondelach, R Noomen Journal of Spacecraft and Rockets 52 (3), 728-738, 2015 | 84 | 2015 |
| Real‐time thermospheric density estimation via two‐line element data assimilation DJ Gondelach, R Linares Space Weather 18 (2), e2019SW002356, 2020 | 51 | 2020 |
| Real‐time thermospheric density estimation via radar and GPS tracking data assimilation DJ Gondelach, R Linares Space Weather 19 (4), e2020SW002620, 2021 | 35 | 2021 |
| Multiple revolution perturbed Lambert problem solvers R Armellin, D Gondelach, JF San Juan Journal of Guidance, Control, and Dynamics 41 (9), 2019-2032, 2018 | 34 | 2018 |
| Ballistic coefficient estimation for reentry prediction of rocket bodies in eccentric orbits based on TLE data DJ Gondelach, R Armellin, AA Lidtke Mathematical Problems in Engineering 2017 (1), 7309637, 2017 | 24 | 2017 |
| Atmospheric density uncertainty quantification for satellite conjunction assessment DJ Gondelach, R Linares, PM Siew Journal of Guidance, Control, and Dynamics 45 (9), 1760-1768, 2022 | 21 | 2022 |
| Optimising filtering of two-line element sets to increase re-entry prediction accuracy for GTO objects AA Lidtke, DJ Gondelach, R Armellin Advances in Space Research 63 (3), 1289-1317, 2019 | 17 | 2019 |
| Element sets for high-order Poincaré mapping of perturbed Keplerian motion DJ Gondelach, R Armellin Celestial Mechanics and Dynamical Astronomy 130, 1-35, 2018 | 16 | 2018 |
| Tudat: a modular and robust astrodynamics toolbox K Kumar, PWL van Barneveld, D Dirkx, JCP Melman, E Mooij, R Noomen 5th ICATT conference, 1-8, 2012 | 15 | 2012 |
| Machine learning algorithms for improved thermospheric density modeling H Turner, M Zhang, D Gondelach, R Linares Dynamic Data Driven Applications Systems: Third International Conference …, 2020 | 14 | 2020 |
| On the predictability and robustness of Galileo disposal orbits DJ Gondelach, R Armellin, A Wittig Celestial Mechanics and Dynamical Astronomy 131 (60), 2019 | 13 | 2019 |
| Re-entry prediction of spent rocket bodies in GTO D Gondelach, A Lidtke, R Armellin, C Colombo, H Lewis, Q Funke, ... | 13 | 2016 |
| Processing two line element sets to facilitate re-entry prediction of spent rocket bodies from geostationary transfer orbit AA Lidtke, D Gondelach, R Armellin, C Colombo, HG Lewis, Q Funke, ... | 12 | 2016 |
| Space Situational Awareness Tasking For Narrow Field Of View Sensors: A Deep Reinforcement Learning Approach D Jang, PM Siew, D Gondelach, R Linares 71st International Astronautical Congress. International Astronautical …, 2020 | 8 | 2020 |
| A hodographic-shaping method for low-thrust trajectory design D Gondelach | 7 | 2012 |
| Orbit prediction and analysis for space situational awareness DJ Gondelach University of Surrey, 2019 | 6 | 2019 |
| Multi-revolution perturbed Lambert problem R Armellin, D Gondelach, JF San Juan 2018 Space Flight Mechanics Meeting, 1968, 2018 | 6 | 2018 |
| Semi-analytical propagation with drag computation and flow expansion using differential algebra D Gondelach, R Armellin, H Lewis, JF San-Juan, A Wittig | 6 | 2017 |
| Differential algebra-based orbit determination with the semi-analytical propagator SADA M Losacco, G Principe, R Armellin, L Pirovano, D Gondelach, ... 8th European Conference on Space Debris, 175, 2021 | 4 | 2021 |
| Analytical low-thrust transfer design based on velocity hodograph DJ Gondelach, R Noomen | 4 | 2015 |
Roberto ArmellinThe University of AucklandVerified email at auckland.ac.nz
