World's Best Scientists 2026 revealed!
Christian Lubich

Christian Lubich

Award Badge
Mathematics
Germany
2026

D-Index & Metrics

Mathematics

D-Index
73
Citations
33252
World Ranking
227
National Ranking
11

Research.com Recognitions

  • 2026 - Research.com Mathematics in Germany Leader Award
  • 2025 - Research.com Mathematics in Germany Leader Award

Overview

Christian Lubich is affiliated with the University of Tübingen in Germany. Their research spans multiple fields with a focus on engineering, physics and astronomy, and mathematics. The main topics of their work include numerical methods for differential equations, matrix theory and algorithms, electromagnetic simulation and numerical methods, tensor decomposition and applications, advanced numerical methods in computational mathematics, magnetic confinement fusion research, and electromagnetic scattering and analysis.

The scientist's research contributions have been published in several notable venues. Frequent publication outlets include arXiv (Cornell University), Numerische Mathematik, BIT Numerical Mathematics, SIAM Journal on Numerical Analysis, and IMA Journal of Numerical Analysis.

Some of the recent papers authored by Christian Lubich include:

  • "Computing quantum dynamics in the semiclassical regime," 2020, Acta Numerica
  • "A rank-adaptive robust integrator for dynamical low-rank approximation," 2022, BIT Numerical Mathematics
  • "A filtered Boris algorithm for charged-particle dynamics in a strong magnetic field," 2020, Numerische Mathematik
  • "Long-term analysis of a variational integrator for charged-particle dynamics in a strong magnetic field," 2020, Numerische Mathematik
  • "Rank-Adaptive Time Integration of Tree Tensor Networks," 2023, SIAM Journal on Numerical Analysis

Their work has frequently involved collaboration with multiple coauthors, including Gianluca Ceruti, Nicola Guglielmi, Balázs Kovács, Jonas Kusch, and Ernst Hairer.

Christian Lubich is also an author of a book published by Springer Nature titled Recent Stability Issues for Linear Dynamical Systems, scheduled for 2024.

The scientist's subfields of study reflect a focus on areas that support their broader fields, including statistical and nonlinear physics, computational mechanics, numerical analysis, electrical and electronic engineering, and computational theory and mathematics.

Best Publications

  • Geometric Numerical Integration: Structure-Preserving Algorithms for Ordinary Differential Equations

    Ernst Hairer;Christian Lubich;Gerhard Wanner

  • Geometric numerical integration

    Erwan Faou;Ernst Hairer;Marlis Hochbruck;Christian Lubich

  • The numerical solution of differential-algebraic systems by Runge-Kutta methods

    Ernst Hairer;Christian Lubich;Michel Roche

  • On Krylov Subspace Approximations to the Matrix Exponential Operator

    Marlis Hochbruck;Christian Lubich

  • Convolution quadrature and discretized operational calculus. II

    C. Lubich

  • Geometric numerical integration illustrated by the Störmer-Verlet method

    Ernst Hairer;Christian Lubich;Gerhard Wanner

  • Unifying time evolution and optimization with matrix product states

    Jutho Haegeman;Christian Lubich;Ivan Oseledets;Ivan Oseledets;Bart Vandereycken

  • Convolution quadrature and discretized operational calculus. I

    Unknown

  • Exponential Integrators for Large Systems of Differential Equations

    Marlis Hochbruck;Christian Lubich;Hubert Selhofer

  • From Quantum to Classical Molecular Dynamics: Reduced Models and Numerical Analysis

    Christian Lubich

  • On splitting methods for Schrödinger-Poisson and cubic nonlinear Schrödinger equations

    Christian Lubich

  • Dynamical Low-Rank Approximation

    Othmar Koch;Christian Lubich

  • Error Bounds for Exponential Operator Splittings

    Tobias Jahnke;Christian Lubich

  • Convolution quadrature time discretization of fractional diffusion-wave equations

    Eduardo Cuesta;Christian Lubich;Cesar Palencia

  • Time Integration of Tensor Trains

    Christian Lubich;Ivan V. Oseledets;Bart Vandereycken

  • Long-Time Energy Conservation of Numerical Methods for Oscillatory Differential Equations

    Ernst Hairer;Christian Lubich

  • A Gautschi-type method for oscillatory second-order differential equations

    Marlis Hochbruck;Christian Lubich

  • Fast Convolution for Nonreflecting Boundary Conditions

    Christian Lubich;Achim Schädle

  • Nonsmooth data error estimates for approximations of an evolution equation with a positive-type memory term

    Ch. Lubich;I. H. Sloan;V. Thomée

  • FAST NUMERICAL SOLUTION OF NONLINEAR VOLTERRA CONVOLUTION EQUATIONS

    Ernst Hairer;Christian Lubich;Manfred Schlichte

  • The life-span of backward error analysis for numerical integrators

    Ernst Hairer;Christian Lubich

  • Acta Numerica 2003: Geometric numerical integration illustrated by the Störmer–Verlet method

    Ernst Hairer;Christian Lubich;Gerhard Wanner

Frequent Co-Authors

Ernst Hairer
Ernst Hairer University of Geneva
Ivan V. Oseledets
Ivan V. Oseledets Skolkovo Institute of Science and Technology
Alexander Ostermann
Alexander Ostermann University of Innsbruck
Helge Holden
Helge Holden Norwegian University of Science and Technology
Frank Verstraete
Frank Verstraete Ghent University
Nils Henrik Risebro
Nils Henrik Risebro University of Oslo
Daniel Kressner
Daniel Kressner École Polytechnique Fédérale de Lausanne
Reinhold Schneider
Reinhold Schneider Technical University of Berlin
Volker Mehrmann
Volker Mehrmann Technical University of Berlin

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Mathematics in the USA opens doors to various related online degrees that enhance career prospects. For instance, many students interested in leadership roles consider pursuing an MBA. Finding the right program can be easier with resources like the transfer credits for online mba programs, allowing flexible progress by transferring previous coursework.

Data analysis is another booming field closely tied to mathematics. A masters in data analytics offers specialized skills in interpreting complex data, which is crucial for industries ranging from finance to healthcare.

For those seeking quick entry into business management, identifying the easiest mba programs can streamline the application process, helping students start their degree with less hassle.

Moreover, flexible learning is key. The easiest online mba program options make it possible to balance studies with work and life commitments, offering practical pathways to advancement.

Best Scientists Citing Christian Lubich

Trending Scientists

Recently Published Articles