Miguel A. Martínez‐Prieto

1.6k total citations
43 papers, 514 citations indexed

About

Miguel A. Martínez‐Prieto is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Miguel A. Martínez‐Prieto has authored 43 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Miguel A. Martínez‐Prieto's work include Semantic Web and Ontologies (16 papers), Algorithms and Data Compression (15 papers) and Natural Language Processing Techniques (11 papers). Miguel A. Martínez‐Prieto is often cited by papers focused on Semantic Web and Ontologies (16 papers), Algorithms and Data Compression (15 papers) and Natural Language Processing Techniques (11 papers). Miguel A. Martínez‐Prieto collaborates with scholars based in Spain, Chile and Austria. Miguel A. Martínez‐Prieto's co-authors include Javier D. Fernández, Claudio Gutiérrez, Mario Arias, Aníbal Bregón, Axel Polleres, Gonzalo Navarro, Francisco Claude, Nieves R. Brisaboa, Antonio Fariña and Rodrigo Cánovas and has published in prestigious journals such as IEEE Access, Information Sciences and Future Generation Computer Systems.

In The Last Decade

Miguel A. Martínez‐Prieto

41 papers receiving 481 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Miguel A. Martínez‐Prieto Spain 11 336 170 137 79 72 43 514
Viviana Mascardi Italy 15 627 1.9× 160 0.9× 211 1.5× 64 0.8× 58 0.8× 101 829
Ghalem Belalem Algeria 14 169 0.5× 335 2.0× 290 2.1× 83 1.1× 34 0.5× 116 698
Jim Webber United Kingdom 8 283 0.8× 323 1.9× 271 2.0× 205 2.6× 45 0.6× 15 730
Leonard Richardson 3 226 0.7× 309 1.8× 364 2.7× 88 1.1× 48 0.7× 8 662
Xinyun Chen United States 13 455 1.4× 84 0.5× 105 0.8× 106 1.3× 29 0.4× 39 622
Marı́a S. Pérez Spain 15 198 0.6× 370 2.2× 312 2.3× 29 0.4× 37 0.5× 61 665
Mohamed Nazih Omri Tunisia 15 332 1.0× 294 1.7× 337 2.5× 124 1.6× 48 0.7× 103 798
Armin Haller Australia 13 426 1.3× 174 1.0× 375 2.7× 57 0.7× 72 1.0× 65 689
Robin McEntire United States 7 676 2.0× 329 1.9× 259 1.9× 23 0.3× 88 1.2× 19 946
Nadine Cullot France 8 219 0.7× 129 0.8× 166 1.2× 41 0.5× 84 1.2× 24 401

Countries citing papers authored by Miguel A. Martínez‐Prieto

Since Specialization
Citations

This map shows the geographic impact of Miguel A. Martínez‐Prieto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Miguel A. Martínez‐Prieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel A. Martínez‐Prieto more than expected).

Fields of papers citing papers by Miguel A. Martínez‐Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel A. Martínez‐Prieto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Miguel A. Martínez‐Prieto. The network helps show where Miguel A. Martínez‐Prieto may publish in the future.

Co-authorship network of co-authors of Miguel A. Martínez‐Prieto

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Martínez‐Prieto. A scholar is included among the top collaborators of Miguel A. Martínez‐Prieto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miguel A. Martínez‐Prieto. Miguel A. Martínez‐Prieto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Silvestre, J., et al.. (2024). Multi-Route Aircraft Trajectory Prediction Using Temporal Fusion Transformers. IEEE Access. 12. 174094–174106. 6 indexed citations
2.
Silvestre, J., Miguel A. Martínez‐Prieto, Aníbal Bregón, & Pedro C. Álvarez-Esteban. (2024). A deep learning-based approach for predicting in-flight estimated time of arrival. The Journal of Supercomputing. 80(12). 17212–17246. 7 indexed citations
3.
Silvestre, J., et al.. (2024). Towards aircraft trajectory prediction using LSTM networks. 1059–1060. 1 indexed citations
4.
Bregón, Aníbal, et al.. (2024). Digital Twin Learning Ecosystem: A cyber–physical framework to integrate human-machine knowledge in traditional manufacturing. Internet of Things. 25. 101094–101094. 15 indexed citations
5.
Dohnal, Vlastislav, et al.. (2023). Reproducible experiments with Learned Metric Index Framework. Information Systems. 118. 102255–102255. 1 indexed citations
6.
Bregón, Aníbal, et al.. (2022). Towards a connected Digital Twin Learning Ecosystem in manufacturing: Enablers and challenges. Computers & Industrial Engineering. 171. 108463–108463. 37 indexed citations
7.
Silvestre, J., et al.. (2021). On the Use of Deep Neural Networks to Improve Flights Estimated Time of Arrival Predictions. UVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid). 3–3. 2 indexed citations
8.
Bregón, Aníbal, et al.. (2021). A non-intrusive Industry 4.0 retrofitting approach for collaborative maintenance in traditional manufacturing. Computers & Industrial Engineering. 164. 107896–107896. 27 indexed citations
9.
Martínez‐Prieto, Miguel A., et al.. (2020). i HDT++ : improving HDT for SPARQL triple pattern resolution. Journal of Intelligent & Fuzzy Systems. 39(2). 2249–2261.
10.
Martínez‐Prieto, Miguel A., et al.. (2019). RDF-TR: Exploiting structural redundancies to boost RDF compression. Information Sciences. 508. 234–259. 9 indexed citations
11.
Martínez‐Prieto, Miguel A., et al.. (2017). Towards a Scalable Architecture for Flight Data Management. 263–268. 4 indexed citations
12.
Martínez‐Prieto, Miguel A., Nieves R. Brisaboa, Rodrigo Cánovas, Francisco Claude, & Gonzalo Navarro. (2015). Practical compressed string dictionaries. Information Systems. 56. 73–108. 29 indexed citations
13.
Martínez‐Prieto, Miguel A., Carlos E. Cuesta, Mario Arias, & Javier D. Fernández. (2014). The Solid  architecture for real-time management of big semantic data. Future Generation Computer Systems. 47. 62–79. 27 indexed citations
14.
Brisaboa, Nieves R., et al.. (2014). Compressed vertical partitioning for efficient RDF management. Knowledge and Information Systems. 44(2). 439–474. 28 indexed citations
15.
Fernández, Javier D., et al.. (2014). MapReduce-based Solutions for Scalable SPARQL Querying. 1(1). 1–18. 4 indexed citations
16.
Brisaboa, Nieves R., et al.. (2011). Compressed k2-Triples for Full-In-Memory RDF Engines. WU Research. 6 indexed citations
17.
Fernández, Javier D., Miguel A. Martínez‐Prieto, & Claudio Gutiérrez. (2011). Publishing open statistical data. 20–25. 10 indexed citations
18.
Martínez‐Prieto, Miguel A., et al.. (2010). Estudio y aplicacion de nuevos metodos de compresion de texto orientada a palabras. 2 indexed citations
19.
Martínez‐Prieto, Miguel A., et al.. (2008). Enhancing literary electronic books with logical structure: electronic work. The Electronic Library. 26(4). 490–504. 1 indexed citations
20.
Martínez‐Prieto, Miguel A., et al.. (2007). Integrating Functionality and Appearance with the Electronic Work Logical Structure. 84–91. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Viviana Mascardi Breakdown of academic impact, for papers by Ghalem Belalem Breakdown of academic impact, for papers by Jim Webber Breakdown of academic impact, for papers by Leonard Richardson Breakdown of academic impact, for papers by Xinyun Chen Breakdown of academic impact, for papers by Marı́a S. Pérez Breakdown of academic impact, for papers by Mohamed Nazih Omri Breakdown of academic impact, for papers by Armin Haller Breakdown of academic impact, for papers by Robin McEntire Breakdown of academic impact, for papers by Nadine Cullot
Rankless by CCL
2026