| The global methane budget: 2000–2012 M Saunois, P Bousquet, B Poulter, A Peregon, P Ciais, JG Canadell, ... Earth System Science Data Discussions 2016, 1-79, 2016 | 1067 | 2016 |
| The global methane budget 2000–2012, Earth Syst. Sci. Data, 8, 697–751 M Saunois, P Bousquet, B Poulter, A Peregon, P Ciais, JG Canadell, ... | 214 | 2016 |
| Inverse modelling of CH4 emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY M Alexe, P Bergamaschi, A Segers, R Detmers, A Butz, O Hasekamp, ... Atmospheric Chemistry and Physics 15 (1), 113-133, 2015 | 142 | 2015 |
| Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M Saunois, P Bousquet, B Poulter, A Peregon, P Ciais, JG Canadell, ... Atmospheric Chemistry and Physics 17 (18), 11135-11161, 2017 | 113 | 2017 |
| A hybrid approach to estimating error covariances in variational data assimilation H Cheng, M Jardak, M Alexe, A Sandu Tellus A: Dynamic Meteorology and Oceanography 62 (3), 288-297, 2010 | 58 | 2010 |
| Forward and adjoint sensitivity analysis with continuous explicit Runge–Kutta schemes M Alexe, A Sandu Applied Mathematics and Computation 208 (2), 328-346, 2009 | 43 | 2009 |
| Second-order adjoints for solving PDE-constrained optimization problems A Cioaca, M Alexe, A Sandu Optimization methods and software 27 (4-5), 625-653, 2012 | 41 | 2012 |
| Global climate RJH Dunn, JB Miller, KM Willett, N Gobron, M Ades, R Adler, M Alexe, ... Bulletin of the American Meteorological Society 104 (9), S11-S145, 2023 | 40 | 2023 |
| On the discrete adjoints of adaptive time stepping algorithms M Alexe, A Sandu Journal of computational and applied mathematics 233 (4), 1005-1020, 2009 | 31* | 2009 |
| The global methane budget 2000–2012, Earth System Science Data, 8, 697–751 M Saunois, P Bousquet, B Poulter, A Peregon, P Ciais, JG Canadell, ... | 23 | 2016 |
| Space–time adaptive solution of inverse problems with the discrete adjoint method M Alexe, A Sandu Journal of Computational Physics 270, 21-39, 2014 | 23 | 2014 |
| Using automatic differentiation in sensitivity analysis of nuclear simulation models M Alexe, O Roderick, M Anitescu, J Utke, T Fanning, P Hovland Transactions of the American Nuclear Society 102, 235, 2010 | 9 | 2010 |
| Automatic differentiation of codes in nuclear engineering applications. M Alexe, O Roderick, J Utke, M Anitescu, P Hovland, T Fanning Argonne National Lab.(ANL), Argonne, IL (United States), 2009 | 9 | 2009 |
| The global methane budget: 2000–2012. Earth Syst Sci Data Discuss M Saunois, P Bousquet, B Poulter, A Peregon, P Ciais, JG Canadell, ... | 7 | 2016 |
| On the adaptive solution of space–time inverse problems with the adjoint method M Alexe, A Sandu Procedia Computer Science 4, 1771-1781, 2011 | 6 | 2011 |
| The greenhouse gas project of ESA’s climate change initiative (GHG-CCI): overview, achievements and future plans M Buchwitz, M Reuter, O Schneising, H Boesch, I Aben, M Alexe, ... ISPRS International Archives of the Photogrammetry, Remote Sensing and …, 2015 | 5 | 2015 |
| Obtaining and using second order derivative information in the solution of large scale inverse problems M Alexe, A Cioaca, A Sandu Proceedings of the 2010 Spring Simulation Multiconference, 1-8, 2010 | 5 | 2010 |
| An investigation of discrete adjoints for flux-limited numerical schemes M Alexe, A Sandu Proceedings of the 45th annual southeast regional conference, 373-378, 2007 | 3 | 2007 |
| The GHG-CCI project of ESA's climate change initiative: Data products and application M Buchwitz, M Reuter, O Schneising, H Boesch, I Aben, M Alexe, ... University of Leicester, 2016 | 1 | 2016 |
| Towards a machine learning model for data assimilation and forecasting directly trained from observations C Lessig, P Lean, T McNally, M Alexe, S Lang, M Chantry, P Dueben EGU24, 2024 | | 2024 |
