Alessandro Corbetta

About Alessandro Corbetta

Alessandro Corbetta, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at Technische Universiteit Eindhoven, specializes in the field of Crowd dynamics, Scientific Machine Learning, Crowd tracking, Mathematical Modeling, High Performance Computing.

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

High-statistics pedestrian dynamics on stairways and their probabilistic fundamental diagrams

Stochastic fluctuations of diluted pedestrian dynamics along curved paths

How crowd accidents are reported in the news media: Lexical and sentiment analysis

Extreme statistics and extreme events in dynamical models of turbulence

How neural networks learn to classify chaotic time series

The Influence of Macroscopic Pedestrian Structures on Train Boarding Efficiency

Trends in Crowd Accidents Based on an Analysis of Press Reports

Physics of human crowds

Alessandro Corbetta Information

University

Position

___

Citations(all)

1104

Citations(since 2020)

886

Cited By

433

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

28

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Alessandro Corbetta Skills & Research Interests

Crowd dynamics

Scientific Machine Learning

Crowd tracking

Mathematical Modeling

High Performance Computing

Top articles of Alessandro Corbetta

High-statistics pedestrian dynamics on stairways and their probabilistic fundamental diagrams

Transportation research part C: emerging technologies

2024/2/1

Stochastic fluctuations of diluted pedestrian dynamics along curved paths

Physical Review E

2024/1/5

Federico Toschi
Federico Toschi

H-Index: 33

Alessandro Corbetta
Alessandro Corbetta

H-Index: 11

How crowd accidents are reported in the news media: Lexical and sentiment analysis

Safety science

2024/4/1

Claudio Feliciani
Claudio Feliciani

H-Index: 21

Alessandro Corbetta
Alessandro Corbetta

H-Index: 11

Extreme statistics and extreme events in dynamical models of turbulence

arXiv preprint arXiv:2402.02994

2024/2/5

Alessandro Corbetta
Alessandro Corbetta

H-Index: 11

Federico Toschi
Federico Toschi

H-Index: 33

How neural networks learn to classify chaotic time series

Chaos: An Interdisciplinary Journal of Nonlinear Science

2023/12

Alessandro Corbetta
Alessandro Corbetta

H-Index: 11

The Influence of Macroscopic Pedestrian Structures on Train Boarding Efficiency

arXiv preprint arXiv:2309.05476

2023/9/11

Trends in Crowd Accidents Based on an Analysis of Press Reports

Safety Science

2023/8

Claudio Feliciani
Claudio Feliciani

H-Index: 21

Alessandro Corbetta
Alessandro Corbetta

H-Index: 11

Physics of human crowds

2023/3/10

Alessandro Corbetta
Alessandro Corbetta

H-Index: 11

Federico Toschi
Federico Toschi

H-Index: 33

Towards learning a Lattice Boltzmann collisional operator

Bulletin of the American Physical Society

2023/3/9

Toward learning Lattice Boltzmann collision operators

The European Physical Journal E

2023/3

How to balance individual and collective values after COVID-19? Ethical reflections on crowd management at Dutch train stations

2022/9/14

Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering

2022/9/6

Alessandro Corbetta
Alessandro Corbetta

H-Index: 11

Bart Hengeveld
Bart Hengeveld

H-Index: 9

Fluctuations in pedestrian dynamics routing choices

PNAS nexus

2022/9

Numerical proof of shell model turbulence closure

Physical Review Fluids

2022/8/18

Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control

arXiv preprint arXiv:2108.11719

2021/8/26

Federico Toschi
Federico Toschi

H-Index: 33

Alessandro Corbetta
Alessandro Corbetta

H-Index: 11

RSSi-based visitor tracking in museums via cascaded AI classifiers and coloured graph representations

Collective Dynamics

2021

Elia Onofri
Elia Onofri

H-Index: 2

Alessandro Corbetta
Alessandro Corbetta

H-Index: 11

Deep learning velocity signals allow quantifying turbulence intensity

Science Advances

2021/3/17

Modeling routing choices in unidirectional pedestrian flows

Collective Dynamics

2021

Subgrid Closure for a Reduced Model of Turbulence using LSTM-augmented Runge-Kutta Integrator

APS Division of Fluid Dynamics Meeting Abstracts

2021

See List of Professors in Alessandro Corbetta University(Technische Universiteit Eindhoven)

Co-Authors

academic-engine