World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
35
Citations
5926
World Ranking
2752
National Ranking
167

Engineering and Technology

D-Index
37
Citations
6500
World Ranking
8314
National Ranking
189

Overview

Kai Schneider is affiliated with Aix-Marseille University in France, contributing primarily to the field of Engineering. Their research spans a variety of specialized subfields including Computational Mechanics, Ocean Engineering, Nuclear and High Energy Physics, Aerospace Engineering, and Statistical and Nonlinear Physics.

The scientist's work addresses multiple topics within engineering and fluid dynamics. Notable areas of research include:

  • Fluid Dynamics and Turbulent Flows
  • Particle Dynamics in Fluid Flows
  • Magnetic Confinement Fusion Research
  • Computational Fluid Dynamics and Aerodynamics
  • Advanced Numerical Methods in Computational Mathematics
  • Biomimetic Flight and Propulsion Mechanisms
  • Aeolian Processes and Effects

Frequent coauthors collaborating with Kai Schneider are:

  • Thomas Engels
  • Thibault Maurel-Oujia
  • Benjamin Kadoch
  • Philipp Krah
  • Marie Farge

The scientist has published in a range of academic venues, with frequent contributions appearing in:

  • arXiv (Cornell University)
  • Journal of Computational Physics
  • Computers & Fluids
  • Physics of Plasmas
  • Physical Review Fluids

Recent papers authored or coauthored by Kai Schneider include:

  • "Plasma-generated silicon oxide coatings of carbon fibres for improved bonding to mineral-based impregnation materials and concrete matrices," 2020, Cement and Concrete Composites
  • "Effect of surface profiling on the mechanical properties and bond behaviour of mineral-impregnated, carbon-fibre (MCF) reinforcement based on geopolymer," 2023, Construction and Building Materials
  • "Scale-dependent statistics of inertial particle distribution in high Reynolds number turbulence," 2021, Physical Review Fluids
  • "Divergence and convergence of inertial particles in high-Reynolds-number turbulence," 2020, Journal of Fluid Mechanics
  • "Multiresolution analysis as a criterion for effective dynamic mesh adaptation - A case study for Euler equations in the SAMR framework AMROC," 2020, Computers & Fluids

Best Publications

  • Non-Gaussianity and coherent vortex simulation for two-dimensional turbulence using an adaptive orthogonal wavelet basis

    Marie Farge;Kai Schneider;Nicholas Kevlahan

  • Wavelet Methods in Computational Fluid Dynamics

    Kai Schneider;Oleg V. Vasilyev

  • Coherent vortex extraction in 3D turbulent flows using orthogonal wavelets.

    Marie Farge;Giulio Pellegrino;Kai Schneider

  • Coherent Vortex Simulation (CVS), A Semi- Deterministic Turbulence Model Using Wavelets

    Marie Farge;Kai Schneider

  • A conservative fully adaptive multiresolution algorithm for parabolic PDEs

    Olivier Roussel;Kai Schneider;Alexei Tsigulin;Henning Bockhorn

  • Nonlinear wavelet thresholding: A recursive method to determine the optimal denoising threshold

    Alexandre Azzalini;Marie Farge;Kai Schneider

  • A Fourier spectral method for the Navier-Stokes equations with volume penalization for moving solid obstacles

    Dmitry Kolomenskiy;Kai Schneider

  • Coherent vortex extraction in three-dimensional homogeneous turbulence: Comparison between CVS-wavelet and POD-Fourier decompositions

    Marie Farge;Kai Schneider;Giulio Pellegrino;Alan A. Wray

  • An Adaptive Wavelet-Vaguelette Algorithm for the Solution of PDEs

    Jochen Fröhlich;Kai Schneider

  • An adaptive multiresolution scheme with local time stepping for evolutionary PDEs

    Margarete O. Domingues;Sônia M. Gomes;Olivier Roussel;Kai Schneider

  • A volume penalization method for incompressible flows and scalar advection-diffusion with moving obstacles

    Benjamin Kadoch;Dmitry Kolomenskiy;Philippe Angot;Kai Schneider

  • Numerical simulation of the transient flow behaviour in chemical reactors using a penalisation method

    Kai Schneider

  • Comparison of an Adaptive Wavelet Method and Nonlinearly Filtered Pseudospectral Methods for Two-Dimensional Turbulence

    K. Schneider;N.K.-R. Kevlahan;M. Farge

  • Wavelet Smoothing of Evolutionary Spectra by Non-Linear Thresholding

    Rainer von Sachs;Kai Schneider

  • Fourier spectral and wavelet solvers for the incompressible Navier-Stokes equations with volume-penalization: Convergence of a dipole-wall collision

    G. H. Keetels;U. D'Ortona;W. Kramer;H. J. H. Clercx

  • Kinetic Turbulence in Astrophysical Plasmas: Waves and/or Structures?

    Daniel Grošelj;Christopher H. K. Chen;Alfred Mallet;Alfred Mallet;Ravi Samtaney

  • Coherent vortices in high resolution direct numerical simulation of homogeneous isotropic turbulence: A wavelet viewpoint

    Naoya Okamoto;Katsunori Yoshimatsu;Kai Schneider;Marie Farge

  • Wavelet transforms and their applications to MHD and plasma turbulence: a review

    Marie Farge;Kai Schneider

  • Coherent vortex simulation of three-dimensional turbulent mixing layers using orthogonal wavelets

    Kai Schneider;Marie Farge;Giulio Pellegrino;Michael M. Rogers

  • Bumblebee Flight in Heavy Turbulence

    T. Engels;T. Engels;D. Kolomenskiy;Kai Schneider;F.-O. Lehmann

  • Decaying two-dimensional turbulence in a circular container.

    Kai Schneider;Marie Farge

  • Turbulence analysis, modelling and computing using wavelets

    M. Farge;N. K. R. Kevlahan;V. Perrier;K. Schneider

  • Space--time adaptive multiresolution methods for hyperbolic conservation laws: Applications to compressible Euler equations

    Margarete O. Domingues;Sônia M. Gomes;Olivier Roussel;Kai Schneider

Frequent Co-Authors

Henning Bockhorn
Henning Bockhorn Karlsruhe Institute of Technology
Hao Liu
Hao Liu Chiba University
Raimund Bürger
Raimund Bürger University of Concepción
Ralf Deiterding
Ralf Deiterding University of Southampton
H. K. Moffatt
H. K. Moffatt University of Cambridge
Martin Oberlack
Martin Oberlack Technical University of Darmstadt
Rupert Klein
Rupert Klein Freie Universität Berlin
Chun H. Wang
Chun H. Wang University of New South Wales
Parviz Moin
Parviz Moin Stanford University

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