| Firedrake: automating the finite element method by composing abstractions F Rathgeber, DA Ham, L Mitchell, M Lange, F Luporini, ATT McRae, ... ACM Transactions on Mathematical Software (TOMS) 43 (3), 1-27, 2016 | 706 | 2016 |
| Lagrangian ocean analysis: Fundamentals and practices E Van Sebille, SM Griffies, R Abernathey, TP Adams, P Berloff, A Biastoch, ... Ocean modelling 121, 49-75, 2018 | 496 | 2018 |
| Quantum computer systems for scientific discovery Y Alexeev, D Bacon, KR Brown, R Calderbank, LD Carr, FT Chong, ... PRX quantum 2 (1), 017001, 2021 | 314 | 2021 |
| Devito (v3. 1.0): an embedded domain-specific language for finite differences and geophysical exploration M Louboutin, M Lange, F Luporini, N Kukreja, PA Witte, FJ Herrmann, ... Geoscientific Model Development 12 (3), 1165-1187, 2019 | 211 | 2019 |
| Parcels v0. 9: prototyping a Lagrangian ocean analysis framework for the petascale age M Lange, E van Sebille Geoscientific Model Development 10 (11), 4175-4186, 2017 | 178 | 2017 |
| Architecture and performance of Devito, a system for automated stencil computation F Luporini, M Louboutin, M Lange, N Kukreja, P Witte, J Hückelheim, ... ACM Transactions on Mathematical Software (TOMS) 46 (1), 1-28, 2020 | 160 | 2020 |
| Efficient mesh management in Firedrake using PETSc DMPlex M Lange, L Mitchell, MG Knepley, GJ Gorman SIAM Journal on Scientific Computing 38 (5), S143-S155, 2016 | 63 | 2016 |
| A large-scale framework for symbolic implementations of seismic inversion algorithms in Julia PA Witte, M Louboutin, N Kukreja, F Luporini, M Lange, GJ Gorman, ... Geophysics 84 (3), F57-F71, 2019 | 62 | 2019 |
| Devito: Towards a generic finite difference dsl using symbolic python M Lange, N Kukreja, M Louboutin, F Luporini, F Vieira, V Pandolfo, ... 2016 6th workshop on python for high-performance and scientific computing …, 2016 | 56 | 2016 |
| Firedrake user manual DA Ham, PHJ Kelly, L Mitchell, CJ Cotter, RC Kirby, K Sagiyama, ... Imperial College London and University of Oxford and Baylor University and …, 2023 | 51 | 2023 |
| Developing a scalable hybrid MPI/OpenMP unstructured finite element model X Guo, M Lange, G Gorman, L Mitchell, M Weiland Computers & Fluids 110, 227-234, 2015 | 50 | 2015 |
| Phytoplankton thermal responses adapt in the absence of hard thermodynamic constraints DG Kontopoulos, E van Sebille, M Lange, G Yvon-Durocher, ... Evolution 74 (4), 775-790, 2020 | 42 | 2020 |
| An individual-based model of skipjack tuna (Katsuwonus pelamis) movement in the tropical Pacific ocean JS Phillips, AS Gupta, I Senina, E van Sebille, M Lange, P Lehodey, ... Progress in Oceanography 164, 63-74, 2018 | 42 | 2018 |
| The ECMWF scalability programme: Progress and plans P Bauer, T Quintino, N Wedi, A Bonanni, M Chrust, W Deconinck, ... European Centre for Medium Range Weather Forecasts, 2020 | 40 | 2020 |
| Full-waveform inversion, Part 1: Forward modeling M Louboutin, P Witte, M Lange, N Kukreja, F Luporini, G Gorman, ... The Leading Edge 36 (12), 1033-1036, 2017 | 38 | 2017 |
| Parcels v0. 9: prototyping a Lagrangian ocean analysis framework for the petascale age, Geosci. Model Dev., 10, 4175–4186 M Lange, E Van Sebille | 38 | 2017 |
| Parcels v0. 9: prototyping a lagrangian ocean analysis framework for the petascale age. Geosci. Model Dev. 10, 4175–4186. doi: 10.5194 M Lange, E Van Sebille gmd-10-4175-2017, 2017 | 34 | 2017 |
| Devito: Automated fast finite difference computation N Kukreja, M Louboutin, F Vieira, F Luporini, M Lange, G Gorman 2016 Sixth International Workshop on Domain-Specific Languages and High …, 2016 | 33 | 2016 |
| The ESCAPE project: energy-efficient scalable algorithms for weather prediction at exascale A Müller, W Deconinck, C Kühnlein, G Mengaldo, M Lange, N Wedi, ... Geoscientific Model Development 12 (10), 4425-4441, 2019 | 28 | 2019 |
| Flexible, scalable mesh and data management using PETSc DMPlex M Lange, MG Knepley, GJ Gorman arXiv preprint arXiv:1505.04633, 2015 | 27 | 2015 |
