Jean-Gabriel Young

Jean-Gabriel Young

University of Vermont

H-index: 19

North America-United States

About Jean-Gabriel Young

Jean-Gabriel Young, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Vermont, specializes in the field of Network Science, Infectious Disease Modeling, Bayesian Statistics, Data Science.

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

The simpliciality of higher-order networks

Latent network models to account for noisy, multiply reported social network data

Hypergraph reconstruction from uncertain pairwise observations

Compressing network populations with modal networks reveal structural diversity

Correction: Impact and dynamics of hate and counter speech online

Accurately summarizing an outbreak using epidemiological models takes time

Opposing Responses to Scarcity Emerge from Functionally Unique Sociality Drivers

Exact and rapid linear clustering of networks with dynamic programming

Jean-Gabriel Young Information

University

Position

___

Citations(all)

2049

Citations(since 2020)

1859

Cited By

519

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

24

i10Index(since 2020)

21

Email

University Profile Page

University of Vermont

Google Scholar

View Google Scholar Profile

Jean-Gabriel Young Skills & Research Interests

Network Science

Infectious Disease Modeling

Bayesian Statistics

Data Science

Top articles of Jean-Gabriel Young

Title

Journal

Author(s)

Publication Date

The simpliciality of higher-order networks

EPJ Data Science

Nicholas W Landry

Jean-Gabriel Young

Nicole Eikmeier

2024/12/1

Latent network models to account for noisy, multiply reported social network data

Journal of the Royal Statistical Society Series A: Statistics in Society

Caterina De Bacco

Martina Contisciani

Jonathan Cardoso-Silva

Hadiseh Safdari

Gabriela Lima Borges

...

2023/7

Hypergraph reconstruction from uncertain pairwise observations

Scientific Reports

Simon Lizotte

Jean-Gabriel Young

Antoine Allard

2023/12/4

Compressing network populations with modal networks reveal structural diversity

Communications Physics

Alec Kirkley

Alexis Rojas

Martin Rosvall

Jean-Gabriel Young

2023/6/22

Correction: Impact and dynamics of hate and counter speech online

EPJ Data Science

Joshua Garland

Keyan Ghazi-Zahedi

Jean-Gabriel Young

Laurent Hébert-Dufresne

Mirta Galesic

2023/12/1

Accurately summarizing an outbreak using epidemiological models takes time

Royal Society Open Science

BKM Case

Jean-Gabriel Young

Laurent Hébert-Dufresne

2023/9/27

Opposing Responses to Scarcity Emerge from Functionally Unique Sociality Drivers

The American Naturalist

Albert B Kao

Amanda K Hund

Fernando P Santos

Jean-Gabriel Young

Deepak Bhat

...

2023/4/11

Exact and rapid linear clustering of networks with dynamic programming

Proceedings of the Royal Society A

Alice Patania

Antoine Allard

Jean-Gabriel Young

2023/7/26

Network Onion Divergence: Network representation and comparison using nested configuration models with fixed connectivity, correlation and centrality patterns

arXiv preprint arXiv:2204.08444

Laurent Hébert-Dufresne

Jean-Gabriel Young

Alexander Daniels

Antoine Allard

2022/4/18

Clustering of heterogeneous populations of networks

Physical Review E

Jean-Gabriel Young

Alec Kirkley

Mark EJ Newman

2022/1/21

The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories

Melanie Warrick

Samuel F Rosenblatt

Jean-Gabriel Young

Amanda Casari

Laurent Hébert-Dufresne

...

2022/5/23

Impact and dynamics of hate and counter speech online

EPJ data science

Joshua Garland

Keyan Ghazi-Zahedi

Jean-Gabriel Young

Laurent Hébert-Dufresne

Mirta Galesic

2022/12/1

Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata

PLOS Neglected Tropical Diseases

BKM Case

Jean-Gabriel Young

Daniel Penados

Carlota Monroy

Laurent Hébert-Dufresne

...

2022/6/2

Cutting through the noise to infer autonomous system topology

Kirtus G Leyba

Joshua J Daymude

Jean-Gabriel Young

MEJ Newman

Jennifer Rexford

...

2022/5/2

Hypergraph reconstruction from network data

Communications Physics

Jean-Gabriel Young

Giovanni Petri

Tiago P Peixoto

2021/6/15

Which contributions count? Analysis of attribution in open source

Jean-Gabriel Young

Amanda Casari

Katie McLaughlin

Milo Z Trujillo

Laurent Hébert-Dufresne

...

2021/5/17

A clarified typology of core-periphery structure in networks

Science advances

Ryan J Gallagher

Jean-Gabriel Young

Brooke Foucault Welles

2021/3/17

Inference, model selection, and the combinatorics of growing trees

Physical Review Letters

George T Cantwell

Guillaume St-Onge

Jean-Gabriel Young

2021/1/22

The network epidemiology of an Ebola epidemic

arXiv preprint arXiv:2111.08686

Laurent Hébert-Dufresne

Jean-Gabriel Young

Jamie Bedson

Laura A Skrip

Danielle Pedi

...

2021/11/16

Reconstruction of plant–pollinator networks from observational data

Nature Communications

Jean-Gabriel Young

Fernanda S Valdovinos

MEJ Newman

2021/6/23

See List of Professors in Jean-Gabriel Young University(University of Vermont)

Co-Authors

H-index: 111
Mark Newman

Mark Newman

University of Michigan

H-index: 91
Vito Latora

Vito Latora

Queen Mary University of London

H-index: 34
Laurent Hébert-Dufresne

Laurent Hébert-Dufresne

University of Vermont

H-index: 27
Antoine Allard

Antoine Allard

Université Laval

H-index: 24
James Bagrow

James Bagrow

University of Vermont

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