Curriculum Vitae
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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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Fecha inicio: 01/12/19
Fecha fin: 31/01/23
Entidad financiadora: European commision
Referencia externa: 872522
Referencia interna: M2060Investigador/es principal/es:
Investigadores:
- Manuel Gertrudix Barrio
- Estefanía Martín Barroso
- Alejandro Carbonell Alcocer
- Fernando Martínez Martínez
- Maria del Carmen Gálvez de la Cuesta
- Mario Ignacio Rajas Fernández
- María del Carmen Gertrudis Casado
- David Roldán Álvarez
- María Zapata Cáceres
Otros colaboradores:
- Maria Begoña Rivas Rebaque
- Juan Romero Luis
Fecha inicio: 30/12/23
Fecha fin: 29/12/26
Entidad financiadora: European commision
Referencia externa:
Referencia interna: M3343Investigador/es principal/es:
Investigadores:
- Estefanía Martín Barroso
- María Zapata Cáceres
- Fernando Martínez Martínez
- Gregorio Robles Martínez
- Aarón Sújar Garrido
- David Roldán Álvarez
Otros colaboradores:
- Marcos José Jiménez Henriquez
- NATALIA GALBAN OJER
- MARCOS ROMAN GONZALEZ
- ANA SANZ ESTEBAN
- Andrea Sastre Jiménez
Fecha inicio: 01/11/24
Fecha fin: 31/03/27
Entidad financiadora: COMUNIDAD DE MADRID
Referencia externa: LÍNEA A. CP2301
Referencia interna: M3588Investigador/es principal/es:
Investigadores:
- Aarón Sújar Garrido
- Estefanía Martín Barroso
- Fernando Martínez Martínez
- Juan Ardoy Cuadros
- Sofía Bayona Beriso
- Susana Mata Fernández
- María Zapata Cáceres
- Miguel Ángel Muñoz Mohedano
Otros colaboradores:
- DAVID DELGADO GOMEZ
- Inmaculada Penuelas Calvo
- Sara Jimenez Fernandez
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- ORCID: 0000-0003-3716-8440
| Agencia | Nº documentos | Nº citas | Índice H | Q1 | D1 | IFNB | IFNESI |
|---|---|---|---|---|---|---|---|
 Web of Science |
7 | 26 | 3 | - | - | 0,63 | 0,31 |
 Scopus |
7 | 33 | 3 | 2 | 1 | 0,45 | - |
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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.