Evelyn Buckwar

Q: What Schools Are Affiliated With Evelyn Buckwar

Evelyn Buckwar is affiliated with the following schools: University of Wuppertal, Johannes Kepler University Linz, University of Kaiserslautern-Landau, Free University of Berlin, Heriot-Watt University

Evelyn Buckwar's AcademicInfluence.com Rankings

Evelyn Buckwar

Mathematics

#5241

World Rank

#7394

Historical Rank

Measure Theory

#4204

World Rank

#4953

Historical Rank

mathematics Degrees

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Mathematics

Evelyn Buckwar's Degrees

PhD Mathematics University of Kaiserslautern-Landau

Why Is Evelyn Buckwar Influential?

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According to Wikipedia, Evelyn Buckwar is a German mathematician specializing in stochastic differential equations. She is Professor for Stochastics at the Johannes Kepler University Linz in Austria. Education Buckwar earned a diploma in mathematics in 1992 from the Free University of Berlin, and completed her doctorate there in 1997. Her dissertation, Iterative Approximation of the Positive Solutions of a Class of Nonlinear Volterra-type Integral Equations, was supervised by Rudolf Gorenflo.

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Evelyn Buckwar's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Invariance of a Partial Differential Equation of Fractional Order under the Lie Group of Scaling Transformations (1998) (233)
Exponential stability in p -th mean of solutions, and of convergent Euler-type solutions, of stochastic delay differential equations (2005) (189)
Introduction to the numerical analysis of stochastic delay differential equations (2000) (182)
NUMERICAL ANALYSIS OF EXPLICIT ONE-STEP METHODS FOR STOCHASTIC DELAY DIFFERENTIAL EQUATIONS (1975) (170)
An exact stochastic hybrid model of excitable membranes including spatio-temporal evolution (2011) (94)
Multistep methods for SDEs and their application to problems with small noise (2006) (86)
Towards a Systematic Linear Stability Analysis of Numerical Methods for Systems of Stochastic Differential Equations (2010) (78)
CONTINUOUS -METHODS FOR THE STOCHASTIC PANTOGRAPH EQUATION (2000) (62)
A comparative linear mean-square stability analysis of Maruyama- and Milstein-type methods (2009) (57)
Asymptotic Mean-Square Stability of Two-Step Methods for Stochastic Ordinary Differential Equations (2006) (50)
Weak approximation of stochastic differential delay equations (2001) (41)
A structural analysis of asymptotic mean-square stability for multi-dimensional linear stochastic differential systems (2012) (40)
Multi-Step Maruyama Methods for Stochastic Delay Differential Equations (2007) (34)
A Constructive Comparison Technique for Determining the Asymptotic Behaviour of Linear Functional Differential Equations with Unbounded Delay (2010) (33)
A Stochastic Version of the Jansen and Rit Neural Mass Model: Analysis and Numerics (2017) (30)
Laws of Large Numbers and Langevin Approximations for Stochastic Neural Field Equations (2012) (29)
Sufficient Conditions for Polynomial Asymptotic Behaviour of the Stochastic Pantograph Equation (2016) (28)
One-step approximations for stochastic functional differential equations (2006) (27)
Noise-Sensitivity in Machine Tool Vibrations (2006) (27)
Weak convergence of the Euler scheme for stochastic differential delay equations (2008) (24)
Numerical Solution of the Neural Field Equation in the Two-Dimensional Case (2015) (23)
Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs (2019) (23)
Runge-Kutta methods for jump-diffusion differential equations (2011) (23)
THE NUMERICAL STABILITY OF STOCHASTIC ORDINARY DIFFERENTIAL EQUATIONS WITH ADDITIVE NOISE (2011) (20)
Non-normal drift structures and linear stability analysis of numerical methods for systems of stochastic differential equations (2012) (20)
Almost sure asymptotic stability analysis of the θ -Maruyama method applied to a test system with stabilising and destabilising stochastic perturbations (2012) (19)
Improved linear multi-step methods for stochastic ordinary differential equations (2007) (17)
The ⊝-Maruyama scheme for stochastic functional differential equations with distributed memory term * (2004) (17)
Stochastic Runge--Kutta Methods for It[o-circumflex] SODEs with Small Noise (2010) (14)
On Two‐step Schemes for SDEs with Small Noise (2004) (13)
Asymptotic and Transient Mean-Square Properties of Stochastic Systems Arising in Ecology, Fluid Dynamics, and System Control (2014) (12)
Splitting Integrators for the Stochastic Landau-Lifshitz Equation (2016) (12)
On Halanay-type analysis of exponential stability for the θ-Maruyama method for stochastic delay differential equations (2005) (11)
A splitting method for SDEs with locally Lipschitz drift: Illustration on the FitzHugh-Nagumo model (2021) (10)
Noise Induced Oscillation in Solutions of Stochastic Delay Differential Equations (2003) (9)
Existence and uniqueness of solutions of Abel integral equations with power-law non-linearities (2005) (8)
Stochastic Runge-Kutta methods with deterministic high order for ordinary differential equations (2011) (8)
Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion (2021) (7)
Numerical Investigation of the Two-Dimensioaln Neural Field Equation with Delay (2015) (7)
An importance sampling technique in Monte Carlo methods for SDEs with a.s. stable and mean-square unstable equilibrium (2017) (6)
Iterative Approximation of the Positive Solutions of a Class of Nonlinear Volterra-type Integral Equations (1997) (6)
Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs (2019) (5)
Weak stochastic Runge–Kutta Munthe-Kaas methods for finite spin ensembles (2017) (5)
Splitting methods for SDEs with locally Lipschitz drift. An illustration on the FitzHugh-Nagumo model (2021) (5)
Exponential mean-square stability properties of stochastic linear multistep methods (2021) (4)
The Weak Euler Scheme for StochasticDifferential Delay Equations (2006) (3)
Euler-Maruyama and Milstein approximations for stochastic functional differential equations with distributed memory term (2003) (3)
Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion (2020) (3)
Mini-Workshop: Dynamics of Stochastic Systems and their Approximation (2011) (2)
The multilevel Monte Carlo method for stochastic differential equations driven by jump-diffusion processes (2011) (2)
A note on the analysis of asymptotic mean-square stability properties for systems of linear stochastic delay differential equations (2013) (2)
Improved linear multi‐step methods for small noise SDEs (2006) (1)
The Weak Euler Scheme for Stochastic Delay Equations (2008) (1)
Correction to: Exponential mean-square stability properties of stochastic linear multistep methods (2021) (1)
Stochastic Runge-Kutta methods with deterministic high order for ordinary differential equations (2013) (1)
Structure-preserving stochastic numerical methods (2018) (0)
Editorial (2018) (0)
Stability issues in the discretization of stochastic differential equations (2018) (0)
A Stochastic Version of the Jansen and Rit Neural Mass Model: Analysis and Numerics (2017) (0)
Asymptotic mean‐square stability of linear multi‐step methods for SODEs (2006) (0)
A stochastic hierarchical model for low grade glioma evolution (2022) (0)
Acknowledgement (2010) (0)
Exponential mean-square stability of numerical methods for nonlinear stochastic differential equations (2015) (0)
Parameter Estimation Through Strucutrue-Preserving Approximate Bayesian Computation for Stochastic Neural Mass Models (2018) (0)
Numerical simulations in two-dimensional neural fields (2015) (0)
Numerical Solution of Stochastic Neural Fields with Delays (2017) (0)
Numerical simulations in two-dimensional neural fields (2015) (0)
Laws of Large Numbers and Langevin Approximations for Stochastic Neural Field Equations (2013) (0)

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What Schools Are Affiliated With Evelyn Buckwar?

Evelyn Buckwar is affiliated with the following schools:

Evelyn Buckwar's Academic­Influence.com Rankings