Profesores e Investigadores

Departamentos

Curriculum Vitae

Fernando Martínez Martínez
Profesor/a Ayudante Doctor/a

Centro

Esc. Tec. Sup. de Ingeniería Informática

Departamento

Informática y Estadística

Área

Ciencia de la Comp. e Inteligencia Artificial

Grupo de investigación

Laboratorio de Tecnologías de la Información en la Educación de la Universidad Rey Juan Carlos

Grupo docente

Grupo de Innovación Docente Consolidado Innovación, Interacción e Inclusión Educativa

Contacto

fernando.martinezm@urjc.es
Presentación

  • Fernando Martínez is an associate professor of  computer science and statistics at the Universidad Rey Juan Carlos (URJC). His research interests include machine learning, deep learning, social network analysis, data collection, biostatistics, bioinformatics, inferential statistics, operations research and experimental design.

    He received his PhD at the URJC in February 2024. His thesis focused on the development of a standardized pipeline for analysis of social networks, applying modern and traditional techniques destined to reveal all the available information in such networks, palliating the lack of replication and standardization in this field. Besides, as part of this thesis, the pipeline was aimed to be deployed in a public dashboard for social network analysis.

    Furthermore, he was part of the CS-Track project focused on Citizen Science. He is also participating in the project CoTEDI, aimed to analyse the development of Computational thinking in education aiming for divesity and inclusion.

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Agencia Nº documentos Nº citas Índice H Q1 D1 IFNB IFNESI
Logo de la agencia 'Web of Science' Web of Science 9 23 3 3 2 0,55 0,44
Logo de la agencia 'Scopus' Scopus 9 30 4 4 2 0,35 -
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  • Krukowski, S., Martínez-Martínez, F., & Hoppe, H. U. (2023, August). Differential Characteristics and Collaborative Interactions of Institutional and Personal Twitter Accounts in a Citizen Science Context. In International Conference on Collaboration Technologies (pp. 68-83). Cham: Springer Nature Switzerland.

    Martínez-Martínez, F., Roldán-Álvarez, D., Martín, E., & Hoppe, H. U. (2023). An analytics approach to health and healthcare in citizen science communications on Twitter. Digital Health, 9, 20552076221145349.

    De-Groot, R., Golumbic, Y. N., Martínez Martínez, F., Hoppe, H. U., & Reynolds, S. (2022). Developing a framework for investigating citizen science through a combination of web analytics and social science methods¿The CS Track perspective. Frontiers in Research Metrics and Analytics, 7, 988544.

    Roldán-Álvarez, D., Martínez-Martínez, F., Martín, E., & Haya, P. A. (2021). Understanding discussions of citizen Science around sustainable development goals in Twitter. IEEE Access, 9, 144106-144120.


    Roldán-Álvarez, D., Martínez-Martínez, F., & Martín, E. (2021, July). Citizen science and open learning: A Twitter perspective. In 2021 International Conference on Advanced Learning Technologies (ICALT) (pp. 6-8). IEEE.





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