Raffaele D'Ambrosio

About Raffaele D'Ambrosio

Raffaele D'Ambrosio, With an exceptional h-index of 29 and a recent h-index of 20 (since 2020), a distinguished researcher at Università degli Studi dell'Aquila, specializes in the field of Numerical Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Magnus-based integrator for Brownian parametric semi-linear oscillators

Strong backward error analysis of symplectic integrators for stochastic Hamiltonian systems

Jacobian-free explicit multiderivative general linear methods for hyperbolic conservation laws

Random periodic solutions of SDEs: Existence, uniqueness and numerical issues

Long-term analysis of stochastic Hamiltonian systems under time discretizations

Numerical Methods for Stochastic Differential Equations

Multivalue Methods

Numerical Approximation of Ordinary Differential Problems: From Deterministic to Stochastic Numerical Methods

Raffaele D'Ambrosio Information

University

Position

___

Citations(all)

2102

Citations(since 2020)

1281

Cited By

1314

hIndex(all)

29

hIndex(since 2020)

20

i10Index(all)

69

i10Index(since 2020)

52

Email

University Profile Page

Università degli Studi dell'Aquila

Google Scholar

View Google Scholar Profile

Raffaele D'Ambrosio Skills & Research Interests

Numerical Analysis

Top articles of Raffaele D'Ambrosio

Title

Journal

Author(s)

Publication Date

A Magnus-based integrator for Brownian parametric semi-linear oscillators

Applied Mathematics and Computation

Raffaele D'Ambrosio

Hugo de la Cruz

Carmela Scalone

2024/7/1

Strong backward error analysis of symplectic integrators for stochastic Hamiltonian systems

Applied Mathematics and Computation

Raffaele D'Ambrosio

Stefano Di Giovacchino

2024/4/15

Jacobian-free explicit multiderivative general linear methods for hyperbolic conservation laws

Numerical Algorithms

Afsaneh Moradi

Jeremy Chouchoulis

Raffaele D’Ambrosio

Jochen Schütz

2024/3/2

Random periodic solutions of SDEs: Existence, uniqueness and numerical issues

Communications in Nonlinear Science and Numerical Simulation

Afsaneh Moradi

Raffaele D’Ambrosio

2024/1/1

Long-term analysis of stochastic Hamiltonian systems under time discretizations

SIAM Journal on Scientific Computing

Raffaele D’Ambrosio

Stefano Di Giovacchino

2023/4/30

Numerical Methods for Stochastic Differential Equations

Raffaele D’Ambrosio

2023/8/26

Multivalue Methods

Raffaele D’Ambrosio

2023/8/26

Numerical Approximation of Ordinary Differential Problems: From Deterministic to Stochastic Numerical Methods

Raffaele D'Ambrosio

2023/9/26

On the conservative character of discretizations to Itô-Hamiltonian systems with small noise

Applied Mathematics Letters

Raffaele D’Ambrosio

Stefano Di Giovacchino

Giuseppe Giordano

Beatrice Paternoster

2023/4/1

Variable stepsize multivalue collocation methods

Applied Numerical Mathematics

A Moradi

R D'Ambrosio

B Paternoster

2023/8/1

Runge-Kutta Methods

Raffaele D’Ambrosio

2023/8/26

Principles of stochastic geometric numerical integrations: Dissipative problems and stochastic oscillators

AIP Conference Proceedings

Raffaele D’Ambrosio

Stefano Di Giovacchino

Carmela Scalone

2023/9/1

A long term analysis of stochastic theta methods for mean reverting linear process with jumps

Applied Numerical Mathematics

Raffaele D'Ambrosio

Afsaneh Moradi

Carmela Scalone

2023/3/1

Forecasting in Shipments: Comparison of Machine Learning Regression Algorithms on Industrial Applications for Supply Chain

Nunzio Carissimo

Raffaele D’Ambrosio

Milena Guzzo

Sabino Labarile

Carmela Scalone

2023/6/30

Linear Stability

Raffaele D’Ambrosio

2023/8/26

Stiiff problems nowadays: Novel numerics and fake news

AIP Conference Proceedings

Dajana Conte

Raffaele D’Ambrosio

Giuseppe Giordano

Serena Mottola

Beatrice Paternoster

2023/9/1

DESTABILISING NONNORMAL STOCHASTIC DIFFERENTIAL EQUATIONS.

Discrete & Continuous Dynamical Systems-Series B

Raffaele D'ambrosio

Nicola Guglielmi

Carmela Scalone

2023/3/1

Analysis of non-linear approximated value equation under multiple risk factors and stochastic intensities

Computers & Mathematics with Applications

Fabio Antonelli

Raffaele D'Ambrosio

Ivan Gallo

2023/6/15

Linear Multistep Methods

Raffaele D’Ambrosio

2023/8/26

Stiff Problems

Raffaele D’Ambrosio

2023/8/26

See List of Professors in Raffaele D'Ambrosio University(Università degli Studi dell'Aquila)