Miguel A. Martínez-Prieto (ORCID:0000-0003-4418-561X)

Miguel A. Martínez-Prieto (ORCID:0000-0003-4418-561X)

Universidad de Valladolid

H-index: 23

Europe-Spain

About Miguel A. Martínez-Prieto (ORCID:0000-0003-4418-561X)

Miguel A. Martínez-Prieto (ORCID:0000-0003-4418-561X), With an exceptional h-index of 23 and a recent h-index of 17 (since 2020), a distinguished researcher at Universidad de Valladolid, specializes in the field of Data Compression, Big Data, Semantic Web, Data Engineering, Computer Science.

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

A deep learning-based approach for predicting in-flight estimated time of arrival

Digital Twin Learning Ecosystem: A cyber–physical framework to integrate human-machine knowledge in traditional manufacturing

Compressed and queryable self-indexes for RDF archives

Compact Encoding of Reified Triples Using HDTr

Reproducible experiments with Learned Metric Index Framework

Entorno de aprendizaje de una asignatura basado en Microsoft Teams

Una metodología basada en prácticas ágiles para la realización de Trabajos Fin de Grado

UVagile 5.0.

Miguel A. Martínez-Prieto (ORCID:0000-0003-4418-561X) Information

University

Position

Associate Professor Department of Computer Science (Segovia Spain)

Citations(all)

2229

Citations(since 2020)

946

Cited By

1719

hIndex(all)

23

hIndex(since 2020)

17

i10Index(all)

38

i10Index(since 2020)

23

Email

University Profile Page

Universidad de Valladolid

Google Scholar

View Google Scholar Profile

Miguel A. Martínez-Prieto (ORCID:0000-0003-4418-561X) Skills & Research Interests

Data Compression

Big Data

Semantic Web

Data Engineering

Computer Science

Top articles of Miguel A. Martínez-Prieto (ORCID:0000-0003-4418-561X)

Title

Journal

Author(s)

Publication Date

A deep learning-based approach for predicting in-flight estimated time of arrival

The Journal of Supercomputing

Jorge Silvestre

Miguel A Martínez-Prieto

Anibal Bregon

Pedro C Álvarez-Esteban

2024/4/24

Digital Twin Learning Ecosystem: A cyber–physical framework to integrate human-machine knowledge in traditional manufacturing

Internet of Things

Álvaro García

Anibal Bregon

Miguel A Martínez-Prieto

2024/4/1

Compressed and queryable self-indexes for RDF archives

Knowledge and Information Systems

Ana Cerdeira-Pena

Guillermo de Bernardo

Antonio Fariña

Javier D Fernández

Miguel A Martínez-Prieto

2024/1

Compact Encoding of Reified Triples Using HDTr

Jose M Gimenez-Garcia

Thomas Gautrais

Javier D Fernández

Miguel A Martínez-Prieto

2023/10/27

Reproducible experiments with Learned Metric Index Framework

Information Systems

Terézia Slanináková

Matej Antol

Jaroslav Ol’ha

Vlastislav Dohnal

Susana Ladra

...

2023/9/1

Entorno de aprendizaje de una asignatura basado en Microsoft Teams

Miguel A Martínez-Prieto

Jorge Silvestre

2023

Una metodología basada en prácticas ágiles para la realización de Trabajos Fin de Grado

Miguel Ángel Martínez Prieto

Jorge Silvestre

Anibal Bregon

Patricia Baz

Clara Gándara-González

...

2023

UVagile 5.0.

Miguel Angel Martínez Prieto

Jorge Silvestre Vilches

Diego García Álvarez

Aníbal Bregón Bregón

Patricia Baz Domínguez

...

2023

Agilizando los procesos de enseñanza-aprendizaje con UVAGILE

Miguel Angel Martínez Prieto

Aníbal Bregón Bregón

Jorge Silvestre Vilches

María Fernández Escudero

Yania Crespo González Carvajal

...

2022

Si Platón levantara la cabeza… el mito de la caverna aplicado al desarrollo de soft skills

María F. Escudero

Jorge Silvestre

Miguel A. Martínez-Prieto

Clara Gándara-González

2022

Alineamiento constructivo basado en prácticas ágiles: un caso de estudio en el marco de UVagile

Jorge Silvestre

Miguel Ángel Martínez Prieto

Anibal Bregon

Yania Crespo

Diego García-Álvarez

2022

A non-intrusive Industry 4.0 retrofitting approach for collaborative maintenance in traditional manufacturing

Computers & Industrial Engineering

Álvaro García

Anibal Bregon

Miguel A Martínez-Prieto

2022

Towards a connected Digital Twin Learning Ecosystem in manufacturing: Enablers and challenges

Computers & Industrial Engineering

Álvaro García

Anibal Bregon

Miguel A Martínez-Prieto

2022/9/1

Activando el Aula Ágil (UVagile)

Miguel Angel Martínez Prieto

Jorge Silvestre Vilches

María Fernández Escudero

Aníbal Bregón Bregón

2021

FreeWheeling Travelers: viajando en SQL

Jorge Silvestre

Miguel Ángel Martínez Prieto

2021

Agilizando el aprendizaje de Bases de Datos

Miguel Ángel Martínez Prieto

Jorge Silvestre

María F Escudero

Anibal Bregon

2021

On the Use of Deep Neural Networks to Improve Flights Estimated Time of Arrival Predictions

Engineering Proceedings

Jorge Silvestre

Miguel de Santiago

Anibal Bregon

Miguel A Martínez-Prieto

Pedro C Álvarez-Esteban

2021

iHDT++: improving HDT for SPARQL triple pattern resolution

Journal of Intelligent & Fuzzy Systems

Antonio Hernández-Illera

Miguel A Martínez-Prieto

Javier D Fernández

Antonio Fariña

2020

RDF-TR: Exploiting structural redundancies to boost RDF compression

Information Sciences

Antonio Hernández-Illera

Miguel A Martínez-Prieto

Javier D Fernández

2020/1/1

cBiK: A Space-Efficient Data Structure for Spatial Keyword Queries

IEEE Access

Carlos E Sanjuan-Contreras

Gilberto Gutiérrez Retamal

Miguel A Martínez-Prieto

Diego Seco

2020/5/25

See List of Professors in Miguel A. Martínez-Prieto (ORCID:0000-0003-4418-561X) University(Universidad de Valladolid)

Co-Authors

H-index: 79
Gonzalo Navarro

Gonzalo Navarro

Universidad de Chile

H-index: 64
Axel Polleres

Axel Polleres

Wirtschaftsuniversität Wien

H-index: 38
Claudio Gutierrez

Claudio Gutierrez

Universidad de Chile

H-index: 29
Nieves R. Brisaboa

Nieves R. Brisaboa

Universidade da Coruña

H-index: 27
Fernando Díaz-Gómez

Fernando Díaz-Gómez

Universidad de Valladolid

H-index: 24
Javier D. Fernández

Javier D. Fernández

Wirtschaftsuniversität Wien

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