Amelia Simó

Amelia Simó

Universidad Jaime I

H-index: 15

Europe-Spain

About Amelia Simó

Amelia Simó, With an exceptional h-index of 15 and a recent h-index of 10 (since 2020), a distinguished researcher at Universidad Jaime I, specializes in the field of shape analysis, statistical image analysis, stochastic geometry.

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

A Gaussian kernel for Kendall’s space of mD shapes

On using Reproducing Kernel Hilbert Spaces for the analysis of Replicated Spatial Point Processes

Package ‘Anthropometry’

On using Reproducible Hilbert Spaces for the analysis of Replicated Spatial Point Processes

A review of spatiotemporal models for count data in R packages. A case study of COVID-19 data

Generalized linear models for geometrical current predictors: An application to predict garment fit

Supervised classification of geometrical objects by integrating currents and functional data analysis

Generalized partially linear models on Riemannian manifolds

Amelia Simó Information

University

Position

Profesor de Estadística

Citations(all)

832

Citations(since 2020)

338

Cited By

639

hIndex(all)

15

hIndex(since 2020)

10

i10Index(all)

23

i10Index(since 2020)

10

Email

University Profile Page

Universidad Jaime I

Google Scholar

View Google Scholar Profile

Amelia Simó Skills & Research Interests

shape analysis

statistical image analysis

stochastic geometry

Top articles of Amelia Simó

Title

Journal

Author(s)

Publication Date

A Gaussian kernel for Kendall’s space of mD shapes

Pattern Recognition

Vicent Gimeno i Garcia

Ximo Gual-Arnau

M Victoria Ibáñez

Amelia Simó

2023/12/1

On using Reproducing Kernel Hilbert Spaces for the analysis of Replicated Spatial Point Processes

Spatial Statistics

Amelia Simó

2023/4/1

Package ‘Anthropometry’

Guillermo Vinue

Irene Epifanio

Amelia Simo

Maintainer Guillermo Vinue

2023/2/22

On using Reproducible Hilbert Spaces for the analysis of Replicated Spatial Point Processes

arXiv preprint arXiv:2301.01811

Amelia Simó

2023/1/4

A review of spatiotemporal models for count data in R packages. A case study of COVID-19 data

Maria Victoria Ibáñez Gual

Amelia Simó

2021/7/1

Generalized linear models for geometrical current predictors: An application to predict garment fit

Statistical Modelling

Sonia Barahona

Pablo Centella

Ximo Gual-Arnau

M Victoria Ibáñez

Amelia Simó

2020/12

Supervised classification of geometrical objects by integrating currents and functional data analysis

TEST

S Barahona

P Centella

Ximo Gual-Arnau

MV Ibáñez

A Simó

2020/9

Generalized partially linear models on Riemannian manifolds

Journal of the Royal Statistical Society Series C: Applied Statistics

Amelia Simó

M Victoria Ibáñez

Irene Epifanio

Vicent Gimeno

2020/6

Archetypal analysis with missing data: see all samples by looking at a few based on extreme profiles

The American Statistician

Irene Epifanio

M Victoria Ibánez

Amelia Simó

2020/4/2

A data-driven classification of 3D foot types by archetypal shapes based on landmarks

Plos One

Aleix Alcacer

Irene Epifanio

M Victoria Ibáñez

Amelia Simó

Alfredo Ballester

2020/1/30

See List of Professors in Amelia Simó University(Universidad Jaime I)