Lorenzo Pareschi

Lorenzo Pareschi

Università degli Studi di Ferrara

H-index: 51

Europe-Italy

About Lorenzo Pareschi

Lorenzo Pareschi, With an exceptional h-index of 51 and a recent h-index of 37 (since 2020), a distinguished researcher at Università degli Studi di Ferrara, specializes in the field of Applied Mathematics, Numerical Analysis, Partial Differential Equations, Kinetic Equations.

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

Optimization by linear kinetic equations and mean-field Langevin dynamics

Micro-Macro Stochastic Galerkin Methods for Nonlinear Fokker–Planck Equations with Random Inputs

Instantaneous control strategies for magnetically confined fusion plasma

Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data

Conservative polynomial approximations and applications to Fokker-Planck equations

An adaptive consensus based method for multi-objective optimization with uniform Pareto front approximation

Computational blood flow modeling: A multiscale constitutive framework

Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties

Lorenzo Pareschi Information

University

Position

Italy

Citations(all)

9526

Citations(since 2020)

4752

Cited By

6610

hIndex(all)

51

hIndex(since 2020)

37

i10Index(all)

144

i10Index(since 2020)

101

Email

University Profile Page

Università degli Studi di Ferrara

Google Scholar

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Lorenzo Pareschi Skills & Research Interests

Applied Mathematics

Numerical Analysis

Partial Differential Equations

Kinetic Equations

Top articles of Lorenzo Pareschi

Title

Journal

Author(s)

Publication Date

Optimization by linear kinetic equations and mean-field Langevin dynamics

arXiv preprint arXiv:2401.05553

Lorenzo Pareschi

2024/1/10

Micro-Macro Stochastic Galerkin Methods for Nonlinear Fokker–Planck Equations with Random Inputs

Multiscale Modeling & Simulation

Giacomo Dimarco

Lorenzo Pareschi

Mattia Zanella

2024/3/31

Instantaneous control strategies for magnetically confined fusion plasma

arXiv preprint arXiv:2403.16254

Giacomo Albi

Giacomo Dimarco

Federica Ferrarese

Lorenzo Pareschi

2024/3/24

Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data

Journal of Computational Physics

Andrea Medaglia

Lorenzo Pareschi

Mattia Zanella

2024/2/13

Conservative polynomial approximations and applications to Fokker-Planck equations

arXiv preprint arXiv:2402.06473

Tino Laidin

Lorenzo Pareschi

2024/2/9

An adaptive consensus based method for multi-objective optimization with uniform Pareto front approximation

Applied Mathematics & Optimization

Giacomo Borghi

Michael Herty

Lorenzo Pareschi

2023/10

Computational blood flow modeling: A multiscale constitutive framework

Giulia Bertaglia

Lorenzo Pareschi

2023

Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties

Journal of Computational Physics

Andrea Medaglia

Lorenzo Pareschi

Mattia Zanella

2023/4/15

Multiscale Constitutive Framework of One-Dimensional Blood Flow Modeling: Asymptotic Limits and Numerical Methods

Multiscale Modeling & Simulation

Giulia Bertaglia

Lorenzo Pareschi

2023/9/30

Modelling contagious viral dynamics: a kinetic approach based on mutual utility

arXiv preprint arXiv:2401.00480

Giulia Bertaglia

Lorenzo Pareschi

Giuseppe Toscani

2023/12/31

A multiscale constitutive framework of computational blood flow modeling

Giulia Bertaglia

Lorenzo Pareschi

2023

Constrained consensus-based optimization

SIAM Journal on Optimization

Giacomo Borghi

Michael Herty

Lorenzo Pareschi

2023/3/31

Consensus based optimization with memory effects: random selection and applications

Chaos, Solitons & Fractals

Giacomo Borghi

Sara Grassi

Lorenzo Pareschi

2023/9/1

Reduced variance random batch methods for nonlocal PDEs

arXiv preprint arXiv:2401.00493

Lorenzo Pareschi

Mattia Zanella

2023/12/31

Multiscale Constitutive Framework of Blood Flow: Modeling and Numerics

Giulia Bertaglia

Lorenzo Pareschi

2023

The kinetic theory of mutation rates

Axioms

Lorenzo Pareschi

Giuseppe Toscani

2023/3/3

Gradient-based Monte Carlo methods for relaxation approximations of hyperbolic conservation laws

arXiv preprint arXiv:2308.02904

Giulia Bertaglia

Lorenzo Pareschi

Russel E Caflisch

2023/8/5

Kinetic description and convergence analysis of genetic algorithms for global optimization

arXiv preprint arXiv:2310.08562

Giacomo Borghi

Lorenzo Pareschi

2023/10/12

Mean-field particle swarm optimization

Sara Grassi

Hui Huang

Lorenzo Pareschi

Jinniao Qiu

2023

Frontiers in Industrial and Applied Mathematics: FIAM-2021, Punjab, India, December 21-22

Rajesh Kumar Sharma

Lorenzo Pareschi

Abdon Atangana

Bikash Sahoo

Vijay Kumar Kukreja

2023/2/2

See List of Professors in Lorenzo Pareschi University(Università degli Studi di Ferrara)

Co-Authors

H-index: 73
José Antonio Carrillo

José Antonio Carrillo

University of Oxford

H-index: 60
Giuseppe Toscani

Giuseppe Toscani

Università degli Studi di Pavia

H-index: 53
Giovanni Russo

Giovanni Russo

Università degli Studi di Catania

H-index: 48
Russel Caflisch

Russel Caflisch

New York University

H-index: 41
Massimo Fornasier

Massimo Fornasier

Technische Universität München

H-index: 38
Clément Mouhot

Clément Mouhot

University of Cambridge

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