Jorge Amaya

Jorge Amaya

Katholieke Universiteit Leuven

H-index: 12

Europe-Belgium

About Jorge Amaya

Jorge Amaya, With an exceptional h-index of 12 and a recent h-index of 10 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of Space plasma physics, Fluid dynamics, Heat transfer, HPC, Machine Learning.

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

Investigation of Machine Learning Techniques for Disruption Prediction Using JET Data

An analysis of the European space weather modelling capabilities

Classification of Solar Flares using Data Analysis and Clustering of Active Regions

Machine learning as a surrogate model for EUHFORIA's heliospheric MHD model

A versatile exploration method for simulated data based on Self Organizing Maps

Identification of high order closure terms from fully kinetic simulations using machine learning

Graph Neural Networks as Surrogate Model for Plasma Simulations

Visualizing and Interpreting Unsupervised Solar Wind

Jorge Amaya Information

University

Position

Research Expert

Citations(all)

597

Citations(since 2020)

323

Cited By

392

hIndex(all)

12

hIndex(since 2020)

10

i10Index(all)

16

i10Index(since 2020)

10

Email

University Profile Page

Katholieke Universiteit Leuven

Google Scholar

View Google Scholar Profile

Jorge Amaya Skills & Research Interests

Space plasma physics

Fluid dynamics

Heat transfer

HPC

Machine Learning

Top articles of Jorge Amaya

Title

Journal

Author(s)

Publication Date

Investigation of Machine Learning Techniques for Disruption Prediction Using JET Data

Plasma

Joost Croonen

Jorge Amaya

Giovanni Lapenta

2023/2/24

An analysis of the European space weather modelling capabilities

Jorge Amaya

2023/2/22

Classification of Solar Flares using Data Analysis and Clustering of Active Regions

Authorea Preprints

Hanne Baeke

Jorge Amaya

Giovanni Lapenta

2023/1/10

Machine learning as a surrogate model for EUHFORIA's heliospheric MHD model

44th COSPAR Scientific Assembly. Held 16-24 July

Brecht Laperre

Jorge Amaya

Giovanni Lapenta

2022/7

A versatile exploration method for simulated data based on Self Organizing Maps

EGU General Assembly Conference Abstracts

Maria Elena Innocenti

Sophia Köhne

Simon Hornisch

Rainer Grauer

Jorge Amaya

...

2022/5

Identification of high order closure terms from fully kinetic simulations using machine learning

Physics of Plasmas

Brecht Laperre

Jorge Amaya

Sara Jamal

Giovanni Lapenta

2022/3/1

Graph Neural Networks as Surrogate Model for Plasma Simulations

Hanne Baeke

Jorge Amaya

Giovanni Lapenta

2022/10/24

Visualizing and Interpreting Unsupervised Solar Wind

Machine Learning in Heliophysics

Jorge Amaya

Romain Dupuis

Maria Elena Innocenti

Giovanni Lapenta

2021/11/24

Unsupervised classification of simulated magnetospheric regions

Annales Geophysicae

Maria Elena Innocenti

Jorge Amaya

Joachim Raeder

Romain Dupuis

Banafsheh Ferdousi

...

2021/10/8

Unsupervised Solar Wind Classification Using Wavelet Variational Autoencoders and Self-Organazing Maps

EGU General Assembly Conference Abstracts

Jorge Amaya

Sara Jamal

Giovanni Lapenta

2021/4

Cross-comparison of global simulation models applied to Mercury’s dayside magnetosphere

Sae Aizawa

Léa Griton

Shahab Fatemi

Willi Exner

Jan Deca

...

2020

Making ML applications more accessible to the space community: Progress overview of the AIDA Horizon 2020 project

Sara Jamal

Jorge Amaya

Giovanni Lapenta

2021/12

Mining valuable data in observations of solar active regions

Jorge Amaya

Hanne Baeke

Orestis Karapiperis

Sara Jamal

Giovanni Lapenta

2021

Parametrization of Heliophysical Data Using Autoencoders

AGU Fall Meeting 2021

Jorge Amaya

Sara Jamal

Brecht Laperre

Giovanni Lapenta

2021/12/13

Automated characterization of magnetic reconnection using particle distributions

EGU General Assembly Conference Abstracts

Romain Dupuis

Jorge Amaya

Giovanni Lapenta

Martin Goldman

David Newman

2020/5/6

Italian Solar Orbiter-SWA Working Group on Machine Learning and Artificial Intelligence

AGU Fall Meeting Abstracts

Rossana De Marco

Tommaso Alberti

Jorge Amaya

Roberto Bruno

Francesco Califano

...

2020/12

Unsupervised classification of the solar wind using Self-Organizing Maps

EGU General Assembly Conference Abstracts

Jorge Amaya

Romain Dupuis

Giovanni Lapenta

2020/3/9

Visualization and Interpretation of Unsupervised Solar Wind Classifications

AGU Fall Meeting Abstracts

Jorge Amaya

Romain Dupuis

Maria Elena Innocenti

Giovanni Lapenta

2020/12

Characterizing magnetic reconnection regions using Gaussian mixture models on particle velocity distributions

The Astrophysical Journal

Romain Dupuis

Martin V Goldman

David L Newman

Jorge Amaya

Giovanni Lapenta

2020/1/21

Automatic Plasma Processes Detection with Supervised Machine Learning: Application to Plasma Jet Dipolarization Fronts in Near-Earth Space using MMS Data

AGU Fall Meeting Abstracts

Alessandro Retino

Hugo Breuillard

Romain Dupuis

Olivier Le Contel

Jorge Amaya

...

2020/12

See List of Professors in Jorge Amaya University(Katholieke Universiteit Leuven)