Pablo Groisman

Pablo Groisman

Universidad de Buenos Aires

H-index: 18

Latin America-Argentina

About Pablo Groisman

Pablo Groisman, With an exceptional h-index of 18 and a recent h-index of 9 (since 2020), a distinguished researcher at Universidad de Buenos Aires, specializes in the field of Probability, Stochastic Processes.

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

Reconstructing Attractors with Autoencoders

Scaling Limit of Kuramoto Model on Random Geometric Graphs

The energy landscape of the Kuramoto model in one-dimensional random geometric graphs with a hole

The Kuramoto model on dynamic random graphs

Intrinsic persistent homology via density-based metric learning

Choosing the parameter of the Fermat distance: navigating geometry and noise

Nonhomogeneous Euclidean first-passage percolation and distance learning

Averaging principle and shape theorem for a growth model with memory

Pablo Groisman Information

University

Position

___

Citations(all)

740

Citations(since 2020)

297

Cited By

561

hIndex(all)

18

hIndex(since 2020)

9

i10Index(all)

26

i10Index(since 2020)

9

Email

University Profile Page

Universidad de Buenos Aires

Google Scholar

View Google Scholar Profile

Pablo Groisman Skills & Research Interests

Probability

Stochastic Processes

Top articles of Pablo Groisman

Title

Journal

Author(s)

Publication Date

Reconstructing Attractors with Autoencoders

arXiv preprint arXiv:2404.16855

Facundo Fainstein

Gabriel B Mindlin

Pablo Groisman

2024/4/1

Scaling Limit of Kuramoto Model on Random Geometric Graphs

arXiv preprint arXiv:2402.15311

Francisco Cirelli

Pablo Groisman

Ruojun Huang

Hernán Vivas

2024/2/23

The energy landscape of the Kuramoto model in one-dimensional random geometric graphs with a hole

arXiv preprint arXiv:2402.06744

Cecilia De Vita

Julián Fernández Bonder

Pablo Groisman

2024/2/9

The Kuramoto model on dynamic random graphs

Nonlinearity

Pablo Groisman

Ruojun Huang

Hernán Vivas

2023/10/17

Intrinsic persistent homology via density-based metric learning

Journal of Machine Learning Research

Ximena Fernández

Eugenio Borghini

Gabriel Mindlin

Pablo Groisman

2023

Choosing the parameter of the Fermat distance: navigating geometry and noise

arXiv preprint arXiv:2311.18663

Frédéric Chazal

Laure Ferraris

Pablo Groisman

Matthieu Jonckheere

Frédéric Pascal

...

2023/11/30

Nonhomogeneous Euclidean first-passage percolation and distance learning

Bernoulli

Pablo Groisman

Matthieu Jonckheere

Facundo Sapienza

2022/2

Averaging principle and shape theorem for a growth model with memory

Communications on Pure and Applied Mathematics

Amir Dembo

Pablo Groisman

Ruojun Huang

Vladas Sidoravicius

2021/7

Rank dependent branching-selection particle systems

Electronic Journal of Probability

Pablo Groisman

Nahuel Soprano-Loto

2021

The quasi-stationary distribution of the subcritical contact process

Proceedings of the American Mathematical Society

Franco Arrejoría

Pablo Groisman

Leonardo Rolla

2020/10

Tumor Growth, R-Positivity, Multitype Branching and Quasistationarity

Journal of Statistical Physics

Analía Ferrari

Pablo Groisman

Krishnamurthi Ravishankar

2020/9

See List of Professors in Pablo Groisman University(Universidad de Buenos Aires)

Co-Authors

H-index: 46
Julio Daniel Rossi

Julio Daniel Rossi

Universidad de Buenos Aires

H-index: 36
G Mindlin

G Mindlin

Universidad de Buenos Aires

H-index: 28
Hatem Zaag

Hatem Zaag

Université Paris 13

H-index: 25
Julian Fernandez Bonder

Julian Fernandez Bonder

Universidad de Buenos Aires

H-index: 24
Fernando Quiros Gracian

Fernando Quiros Gracian

Universidad Autónoma de Madrid

H-index: 24
Miryan Cassanello

Miryan Cassanello

Universidad de Buenos Aires

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