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researcher

C. Kuehn

172 papers hereh-index 294.8k citations198 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author21
  • first author47
  • middle author39
  • last author63

Across the 170 of 172 papers where every author was matched, so the position is known.

fields
  • math.DS87
  • math.AP24
  • math.PR15
  • nlin.AO13
  • math.NA7
  • math.CA3
same name
  • C. Kuehn — 31 papers, h 15
  • C. Kuehn — 3 papers, h 3
  • C. Kuehn — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20082026
most citedA mathematical framework for critical transitions: bifurcations, fast-slow systems and stochastic dynamics

422 citations · 2.4k across the 156 of their papers we have counts for

collaborators
Showing 2026 · math.APShow all

4 papers · 2 filters

math.AP2026

Renormalized Invariant Manifolds

Christian Kuehn, Jan-Eric Sulzbach

Invariant manifold theory for partial differential equations (PDEs) is technically challenging as we often lack spectral gaps. Motivated by recent progress using renormalization in…

math.AP2026

A dispersive extension result for a class of nonlocal nonlinearities

Bastian Hilder, Christian Kuehn

We prove that a class of nonlocal nonlinearities on periodic Sobolev spaces can be expressed as a trace of the unique mild solution to a local dispersive problem consisting of a sy…

math.AP2026

Compatibility of Higher-Order Slow-Manifold Reduction and Continuum Limits in Adaptive Networks

Christian Kuehn, Fergal Murphy, Jan-Eric Sulzbach

Adaptive networks couple the evolution of node states to the evolution of the interactions between them. In fast-adapting phase oscillator networks, a slow-manifold reduction of a…

math.AP2026

Thin Domains, Reduction, and Slow Manifolds

Christian Kuehn, Jan-Eric Sulzbach

We propose a unified framework for dimension reduction of partial differential equations posed on thin domains. Our approach combines three complementary ingredients: a careful bou…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.