Francisco Escolano Ruiz

Francisco Escolano Ruiz

Universidad de Alicante

H-index: 25

Europe-Spain

About Francisco Escolano Ruiz

Francisco Escolano Ruiz, With an exceptional h-index of 25 and a recent h-index of 14 (since 2020), a distinguished researcher at Universidad de Alicante, specializes in the field of Pattern Recogniton, Graphs and Complex Networks, Computer Vision, Information Theory.

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

Predicting COVID-19 pandemic waves including vaccination data with deep learning

Node Classification in the Heterophilic Regime via Diffusion-Jump GNNs

Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters

FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values

Cambio de metodología para mejorar la enseñanza-aprendizaje de Matemáticas 2

Open data science to fight covid-19: Winning the 500k xprize pandemic response challenge

Algorithmic Censorship of Art: A Proposed Research Agenda.

OpenFilter: a framework to democratize research access to social media AR filters

Francisco Escolano Ruiz Information

University

Position

Full Profesor ()

Citations(all)

2562

Citations(since 2020)

722

Cited By

2863

hIndex(all)

25

hIndex(since 2020)

14

i10Index(all)

55

i10Index(since 2020)

22

Email

University Profile Page

Universidad de Alicante

Google Scholar

View Google Scholar Profile

Francisco Escolano Ruiz Skills & Research Interests

Pattern Recogniton

Graphs and Complex Networks

Computer Vision

Information Theory

Top articles of Francisco Escolano Ruiz

Title

Journal

Author(s)

Publication Date

Predicting COVID-19 pandemic waves including vaccination data with deep learning

Frontiers in Public Health

Ahmed Begga

Òscar Garibo-i-Orts

Sergi de María-García

Francisco Escolano

Miguel A Lozano

...

2023/12/15

Node Classification in the Heterophilic Regime via Diffusion-Jump GNNs

Ahmed Begga

Francisco Escolano

Miguel Angel Lozano

Edwin Hancock

2023/10/13

Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters

arXiv preprint arXiv:2306.16976

Ahmed Begga

Francisco Escolano

Miguel Angel Lozano

Edwin R Hancock

2023/6/29

FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values

Adrian Arnaiz-Rodriguez

Nuria Oliver

2023/3/3

Cambio de metodología para mejorar la enseñanza-aprendizaje de Matemáticas 2

Ester Martinez-Martin

Angelo Costa

Jose F Vicent

Francisco Escolano

Francisco Morillas-Espejo

2022

Open data science to fight covid-19: Winning the 500k xprize pandemic response challenge

Miguel Angel Lozano

Òscar Garibo i Orts

Eloy Pinol

Miguel Rebollo

Kristina Polotskaya

...

2022

Algorithmic Censorship of Art: A Proposed Research Agenda.

Piera Riccio

Jose Luis Oliver

Francisco Escolano

Nuria Oliver

2022

OpenFilter: a framework to democratize research access to social media AR filters

Neural Information Processing Systems (NeurIPS)

Piera Riccio

Bill Psomas

Francesco Galati

Francisco Escolano

Thomas Hofmann

...

2022/11

Diffwire: Inductive graph rewiring via the lov\'asz bound

arXiv preprint arXiv:2206.07369

Adrián Arnaiz-Rodríguez

Ahmed Begga

Francisco Escolano

Nuria Oliver

2022/6/15

On learning random forests for random forest-clustering

Manuele Bicego

Francisco Escolano

2021/1/10

Análisis de la transición de clases presenciales a modalidad online

Angelo Costa

Ester Martinez-Martin

Francisco Escolano

Jose F Vicent

Francisco Morillas-Espejo

2021

Network embedding from the line graph: Random walkers and boosted classification

Pattern Recognition Letters

Miguel Angel Lozano

Francisco Escolano

Manuel Curado

Edwin R Hancock

2021/3/1

The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks

Francisco Escolano

Miguel Angel Lozano

Edwin R Hancock

2021/1/21

Seeking affinity structure: Strategies for improving m-best graph matching

Information Sciences

Manuel Curado

Francisco Escolano

Miguel A Lozano

Edwin R Hancock

2020/1/1

An efficient, dense and long-range marker system for the guidance of the visually impaired

Machine Vision and Applications

Juan Manuel Sáez

Miguel Angel Lozano

Francisco Escolano

Javier Pita Lozano

2020/11

Early detection of Alzheimer’s disease: Detecting asymmetries with a return random walk link predictor

Entropy

Manuel Curado

Francisco Escolano

Miguel A Lozano

Edwin R Hancock

2020/4/19

Searching potential candidates for development of protective cultures: Evaluation of two Lactobacillus strains to reduce Listeria monocytogenes in artificially …

Journal of food safety

María J García

Francesca Ruíz

Paula Asurmendi

Liliana Pascual

Lucila Barberis

2020/2

See List of Professors in Francisco Escolano Ruiz University(Universidad de Alicante)

Co-Authors

H-index: 51
Marcello Pelillo

Marcello Pelillo

Università Ca' Foscari di Venezia

H-index: 43
Michael Jenkin

Michael Jenkin

York University

H-index: 37
Andrea TORSELLO

Andrea TORSELLO

Università Ca' Foscari di Venezia

H-index: 30
Miguel Cazorla (ORCID:0000-0001-6805-3633)

Miguel Cazorla (ORCID:0000-0001-6805-3633)

Universidad de Alicante

H-index: 24
Lu Bai

Lu Bai

Central University of Finance and Economics

H-index: 22
M. Elena Martinez-Perez

M. Elena Martinez-Perez

Universidad Nacional Autónoma de México

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