| Fiberclay: Sculpting three dimensional trajectories to reveal structural insights C Hurter, NH Riche, SM Drucker, M Cordeil, R Alligier, R Vuillemot IEEE transactions on visualization and computer graphics 25 (1), 704-714, 2018 | 110 | 2018 |
| Machine learning and mass estimation methods for ground-based aircraft climb prediction R Alligier, D Gianazza, N Durand IEEE Transactions on Intelligent Transportation Systems 16 (6), 3138-3149, 2015 | 94 | 2015 |
| Learning the aircraft mass and thrust to improve the ground-based trajectory prediction of climbing flights R Alligier, D Gianazza, N Durand Transportation Research Part C: Emerging Technologies 36, 45-60, 2013 | 88 | 2013 |
| Learning aircraft operational factors to improve aircraft climb prediction: A large scale multi-airport study R Alligier, D Gianazza Transportation research part C: emerging technologies 96, 72-95, 2018 | 60 | 2018 |
| Deep trajectory clustering with autoencoders X Olive, L Basora, B Viry, R Alligier ICRAT 2020, 9th International Conference for Research in Air Transportation, 2020 | 46 | 2020 |
| Wind parameters extraction from aircraft trajectories C Hurter, R Alligier, D Gianazza, S Puechmorel, G Andrienko, ... Computers, Environment and Urban Systems 47, 28-43, 2014 | 41 | 2014 |
| Ground-based estimation of aircraft mass, adaptive vs. least squares method R Alligier, D Gianazza, N Durand ATM Seminar, 2013 | 35 | 2013 |
| Machine learning applied to airspeed prediction during climb R Alligier, D Ginazza, N Durand USA/Europe ATM Seminar, 2015 | 32 | 2015 |
| Energy rate prediction using an equivalent thrust setting profile R Alligier, D Gianazza, N Durand ICRAT 2012, 5th International Conference on Research in Air Transportation …, 2012 | 32 | 2012 |
| Comparison of two ground-based mass estimation methods on real data R Alligier, D Gianazza, MG Hamed, N Durand ICRAT 2014, 6th International Conference on Research in Air Transportation …, 2014 | 29 | 2014 |
| Predictive distribution of mass and speed profile to improve aircraft climb prediction R Alligier Journal of Air Transportation 28 (3), 114-123, 2020 | 18 | 2020 |
| Cooperation of combinatorial solvers for en-route conflict resolution R Wang, R Alligier, C Allignol, N Barnier, N Durand, A Gondran Transportation Research Part C: Emerging Technologies 114, 36-58, 2020 | 16 | 2020 |
| Predicting aircraft descent length with machine learning R Alligier, D Gianazza, N Durand ICRAT 2016, 7th International Conference on Research in Air Transportation, 2016 | 15 | 2016 |
| Prediction of the propagation of trajectory uncertainty for climbing aircraft T Zeh, J Rosenow, R Alligier, H Fricke 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), 1-9, 2020 | 13* | 2020 |
| Efficient conflict detection for conflict resolution R Alligier, N Durand, G Alligier ICRAT 2018, 8th International Conference on Research in Air Transportation, 2018 | 11 | 2018 |
| High confidence intervals applied to aircraft altitude prediction MG Hamed, R Alligier, D Gianazza IEEE Transactions on Intelligent Transportation Systems 17 (9), 2515-2527, 2016 | 8 | 2016 |
| Ground-based prediction of aircraft climb: point-mass model vs regression methods R Alligier, MG Hamed, D Gianazza, M Serrurier Complex World 2011, 1st Annual Complex World Conference, pp xxxx, 2011 | 4 | 2011 |
| Detect and avoid algorithm for uas with 3d-maneuvers R Alligier, C Allignol, N Barnier, N Durand, R Wang ICRAT 2018, 8th International Conference on Research in Air Transportation, 2018 | 3 | 2018 |
| Machine Learning Applied to Aircraft Trajectory Prediction R Alligier HAL 2014, 2014 | 2* | 2014 |
| A Catalogue of Deconfliction Actions Extracted from Historical ADS-B Data K Gaume, X Olive, D Gianazza, R Alligier, N Durand Journal of Open Aviation Science 1 (2), 2023 | | 2023 |
