ProfessorsProfessors of Universitatea din BucurestiLaurentiu Leustean

Laurentiu Leustean

Universitatea din Bucuresti

H-index: 22

Europe-Romania

About Laurentiu Leustean

Laurentiu Leustean, With an exceptional h-index of 22 and a recent h-index of 15 (since 2020), a distinguished researcher at Universitatea din Bucuresti, specializes in the field of Mathematical logic, Proof theory, Optimization, Ergodic theory, Nonlinear analysis.

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

Proceedings 7th Symposium on Working Formal Methods

On Modified Halpern and Tikhonov–Mann Iterations

Rates of asymptotic regularity for the alternating Halpern-Mann iteration

Quadratic rates of asymptotic regularity for the Tikhonov-Mann iteration

Quantitative results on a Halpern-type proximal point algorithm

Laurentiu Leustean Information

University	Universitatea din Bucuresti
Position	and Simion Stoilow Institute of Mathematics of the Romanian Academy
Citations(all)	1853
Citations(since 2020)	671
Cited By	1492
hIndex(all)	22
hIndex(since 2020)	15
i10Index(all)	28
i10Index(since 2020)	16
Email	Access Email
University Profile Page	Universitatea din Bucuresti
Google Scholar	View Google Scholar Profile

Laurentiu Leustean Skills & Research Interests

Mathematical logic

Proof theory

Optimization

Ergodic theory

Nonlinear analysis

Top articles of Laurentiu Leustean

Title	Journal	Author(s)	Publication Date
Proceedings 7th Symposium on Working Formal Methods	arXiv preprint arXiv:2309.12959	Horaţiu Cheval Laurenţiu Leuştean Andrei Sipoş	2023/9/22
On Modified Halpern and Tikhonov–Mann Iterations	Journal of Optimization Theory and Applications	Horaţiu Cheval Ulrich Kohlenbach Laurenţiu Leuştean	2023/3/18
Rates of asymptotic regularity for the alternating Halpern-Mann iteration	Optimization Letters	Laurentiu Leustean Pedro Pinto	2023
Quadratic rates of asymptotic regularity for the Tikhonov-Mann iteration	Optimization Methods and Software	Horatiu Cheval Laurentiu Leustean	2022
Quantitative results on a Halpern-type proximal point algorithm	Computational Optimization and Applications	Laurentiu Leustean Pedro Pinto	2021