| Higher-dimensional automorphic Lie algebras V Knibbeler, S Lombardo, JA Sanders Foundations of Computational Mathematics 17 (4), 987-1035, 2017 | 16 | 2017 |
| The laminations of a crystal near an anti-continuum limit V Knibbeler, B Mramor, B Rink Nonlinearity 27 (5), 927, 2014 | 11 | 2014 |
| Automorphic Lie algebras with dihedral symmetry V Knibbeler, S Lombardo, JA Sanders Journal of Physics A: Mathematical and Theoretical 47 (36), 365201, 2014 | 9 | 2014 |
| Automorphic Lie algebras and modular forms V Knibbeler, S Lombardo, AP Veselov International Mathematics Research Notices 2023 (6), 5209-5262, 2023 | 8 | 2023 |
| Invariants of automorphic lie algebras VJA Knibbeler PQDT-UK & Ireland, 2015 | 8 | 2015 |
| Hereditary automorphic Lie algebras V Knibbeler, S Lombardo, JA Sanders Communications in Contemporary Mathematics 22 (08), 1950076, 2020 | 7 | 2020 |
| Automorphic Lie algebras and cohomology of root systems V Knibbeler, S Lombardo, JA Sanders arXiv preprint arXiv:1512.07020, 2015 | 6 | 2015 |
| Wild local structures of automorphic lie algebras DD Duffield, V Knibbeler, S Lombardo Algebras and Representation Theory 27 (1), 305-331, 2024 | 4 | 2024 |
| A classification of automorphic Lie algebras on complex tori V Knibbeler, S Lombardo, C Oelen Proceedings of the Edinburgh Mathematical Society 67 (3), 947-989, 2024 | 3 | 2024 |
| Polyhedral groups in V Knibbeler, S Lombardo, C Oelen Glasgow Mathematical Journal 65 (S1), S123-S128, 2023 | 2 | 2023 |
| Computing equivariant matrices on homogeneous spaces for geometric deep learning and automorphic Lie algebras V Knibbeler Advances in Computational Mathematics 50 (2), 27, 2024 | 1 | 2024 |
| Isotypical Components of Rational Functions V Knibbeler, S Lombardo, JA Sanders arXiv preprint arXiv:1511.06327, 2015 | 1 | 2015 |
| A uniform construction of Chevalley normal forms for automorphic Lie algebras on the Riemann sphere V Knibbeler arXiv preprint arXiv:2503.17801, 2025 | | 2025 |
| An elementary method to compute equivariant convolutional kernels on homogeneous spaces for geometric deep learning. V Knibbeler CoRR, 2023 | | 2023 |
