Edelmann, D., Kovács, B., &; Lubich, C. (2024). Numerical analysis of an evolving bulk--surface model of tumour growth. ArXiv.https://doi.org/10.48550/ARXIV.2401.09372 

Kovács, B. (2024). Numerical surgery for mean curvature flow of surfaces. SIAM Journal on Scientific Computing, 46(2).https://doi.org/10.1137/22M1531919 

Bartels, S., Kovács, B., &; Wang, Z. (2023). Error analysis for the numerical approximation of the harmonic map heat flow with nodal constraints. IMA Journal of Numerical Analysis.https://doi.org/10.1093/imanum/drad037 

Contri, A., Kovács, B., &; Massing, A. (2023). Error analysis of BDF 1-6 time-stepping methods for the transient Stokes problem: velocity and pressure estimates. ArXiv.https://doi.org/10.48550/ARXIV.2312.05511 

Garcke, H., Kovács, B., &; Trautwein, D. (2022). Viscoelastic Cahn–Hilliard models for tumor growth. Mathematical Models and Methods in Applied Sciences, 32(13), 2673–2758.https://doi.org/10.1142/s0218202522500634 

Elliott, C. M., Garcke, H., &; Kovács, B. (2022). Numerical analysis for the interaction of mean curvature flow and diffusion on closed surfaces. Numerische Mathematik, 151(4), 873–925.https://doi.org/10.1007/s00211-022-01301-3 

Nick, J., Kovács, B., &; Lubich, C. (2022). Time-dependent electromagnetic scattering from thin layers. Numerische Mathematik, 150(4), 1123–1164.https://doi.org/10.1007/s00211-022-01277-0 

Kovács, B., &; Li, B. (2022). Maximal regularity of backward difference time discretization for evolving surface PDEs and its application to nonlinear problems. IMA Journal of Numerical Analysis.https://doi.org/10.1093/imanum/drac033 

Altmann, R., Kovács, B., &; Zimmer, C. (2022). Bulk–surface Lie splitting for parabolic problems with dynamic boundary conditions. IMA Journal of Numerical Analysis, 43(2), 950–975.https://doi.org/10.1093/imanum/drac002 

Csomós, P., Farkas, B., &; Kovács, B. (2022). Error estimates for a splitting integrator for abstract semilinear boundary coupled systems. IMA Journal of Numerical Analysis.https://doi.org/10.1093/imanum/drac079 

Beschle, C. A., &; Kovács, B. (2022). Stability and error estimates for non-linear Cahn–Hilliard-type equations on evolving surfaces. Numerische Mathematik, 151(1), 1–48.https://doi.org/10.1007/s00211-022-01280-5 

Bohn, J., Feischl, M., &; Kovács, B. (2022). FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Equations via Convolution Quadrature: Weak Form and Numerical Approximation. Computational Methods in Applied Mathematics, 23(1), 19–48.https://doi.org/10.1515/cmam-2022-0145 

Binz, T., &; Kovács, B. (2021). A convergent finite element algorithm for mean curvature flow in higher codimension. ArXiv.

Binz, T., &; Kovács, B. (2021). A convergent finite element algorithm for generalized mean curvature flows of closed surfaces. IMA Journal of Numerical Analysis, 42(3), 2545–2588.https://doi.org/10.1093/imanum/drab043 

Harder, P., &; Kovács, B. (2021). Error estimates for the Cahn–Hilliard equation with dynamic boundary conditions. IMA Journal of Numerical Analysis, 42(3), 2589–2620.https://doi.org/10.1093/imanum/drab045 

Nick, J., Kovács, B., &; Lubich, C. (2021). Correction to: Stable and convergent fully discrete interior–exterior coupling of Maxwell’s equations. Numerische Mathematik, 147(4), 997–1000.https://doi.org/10.1007/s00211-021-01196-6 

Kovács, B., Li, B., &; Lubich, C. (2021). A convergent evolving finite element algorithm for Willmore flow of closed surfaces. Numerische Mathematik, 149(3), 595–643.https://doi.org/10.1007/s00211-021-01238-z 

Hipp, D., &; Kovács, B. (2020). Finite element error analysis of wave equations with dynamic boundary conditions: L2 estimates. IMA Journal of Numerical Analysis, 41(1), 638–728.https://doi.org/10.1093/imanum/drz073 

Hipp, D., &; Kovács, B. (2020). Finite element error analysis of wave equations with dynamic boundary conditions: L2 estimates. IMA Journal of Numerical Analysis, 41(1), 638–728.https://doi.org/10.1093/imanum/drz073 

Akrivis, G., Feischl, M., Kovács, B., &; Lubich, C. (2020). Higher-order linearly implicit full discretization of the Landau–Lifshitz–Gilbert equation. Mathematics of Computation, 90(329), 995–1038.https://doi.org/10.1090/mcom/3597