Alberto Mozó

1.2k total citations · 1 hit paper
50 papers, 719 citations indexed

About

Alberto Mozó is a scholar working on Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Alberto Mozó has authored 50 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 15 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Alberto Mozó's work include Software-Defined Networks and 5G (10 papers), Network Security and Intrusion Detection (9 papers) and Network Traffic and Congestion Control (7 papers). Alberto Mozó is often cited by papers focused on Software-Defined Networks and 5G (10 papers), Network Security and Intrusion Detection (9 papers) and Network Traffic and Congestion Control (7 papers). Alberto Mozó collaborates with scholars based in Spain, France and Italy. Alberto Mozó's co-authors include Sandra Gómez-Canaval, Antonio Pastor, Ángel González-Prieto, Edgar Talavera, Guillermo Iglesias, Diego López, José Ignacio Moreno, Antonio Fernández Anta, Mario Sanz and J. Enrique Sierra‐García and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Alberto Mozó

49 papers receiving 693 citations

Hit Papers

Data Augmentation techniques in time series domain: a sur... 2023 2026 2024 2025 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Data Augmentation techniques in time series domain: a survey and taxonomy
    2023 145 citations Guillermo Iglesias, Edgar Talavera et al. Neural Computing and Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberto Mozó Spain 15 285 176 128 100 80 50 719
Ashraf Salem Egypt 12 102 0.4× 119 0.7× 145 1.1× 50 0.5× 30 0.4× 93 669
Nguyen Lu Dang Khoa Australia 12 134 0.5× 345 2.0× 73 0.6× 99 1.0× 38 0.5× 30 862
Lingjun Zhao China 15 126 0.4× 134 0.8× 204 1.6× 103 1.0× 96 1.2× 53 816
Guigang Zhang China 13 88 0.3× 158 0.9× 65 0.5× 21 0.2× 94 1.2× 80 629
Matteo Petracca Italy 17 367 1.3× 74 0.4× 257 2.0× 61 0.6× 75 0.9× 63 949
Federico Castanedo Spain 9 128 0.4× 216 1.2× 72 0.6× 63 0.6× 26 0.3× 13 784
Wenqiang Xu China 9 74 0.3× 83 0.5× 84 0.7× 46 0.5× 37 0.5× 17 581
Guang Jin China 16 181 0.6× 215 1.2× 116 0.9× 103 1.0× 42 0.5× 78 733
Haitao He China 14 152 0.5× 174 1.0× 138 1.1× 82 0.8× 67 0.8× 77 786
Jianxi Yang China 14 67 0.2× 192 1.1× 38 0.3× 19 0.2× 60 0.8× 55 644

Countries citing papers authored by Alberto Mozó

Since Specialization
Citations

This map shows the geographic impact of Alberto Mozó'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 Alberto Mozó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Mozó more than expected).

Fields of papers citing papers by Alberto Mozó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto Mozó. 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 Alberto Mozó. The network helps show where Alberto Mozó may publish in the future.

Co-authorship network of co-authors of Alberto Mozó

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Mozó. A scholar is included among the top collaborators of Alberto Mozó 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 Alberto Mozó. Alberto Mozó 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.
2.
Mozó, Alberto, et al.. (2024). A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector. Neural Computing and Applications. 36(17). 10297–10338. 5 indexed citations
3.
Morón-López, Jesús, et al.. (2024). Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms. Knowledge-Based Systems. 301. 112279–112279. 6 indexed citations
4.
Sanz, Mario, et al.. (2024). Design of an AI-driven Network Digital Twin for advanced 5G-6G network management. 1–7. 5 indexed citations
5.
Mozó, Alberto, et al.. (2023). A Machine-Learning-Based Cyberattack Detector for a Cloud-Based SDN Controller. Applied Sciences. 13(8). 4914–4914. 13 indexed citations
6.
Iglesias, Guillermo, Edgar Talavera, Ángel González-Prieto, Alberto Mozó, & Sandra Gómez-Canaval. (2023). Data Augmentation techniques in time series domain: a survey and taxonomy. Neural Computing and Applications. 35(14). 10123–10145. 145 indexed citations breakdown →
7.
Sierra‐García, J. Enrique, et al.. (2023). Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case. Sensors. 23(7). 3516–3516. 5 indexed citations
8.
Mozó, Alberto, et al.. (2023). Using N-BEATS ensembles to predict automated guided vehicle deviation. Applied Intelligence. 53(21). 26139–26204. 7 indexed citations
9.
Mozó, Alberto, et al.. (2023). Anticipatory analysis of AGV trajectory in a 5G network using machine learning. Journal of Intelligent Manufacturing. 35(4). 1541–1569. 4 indexed citations
10.
Mozó, Alberto, Jesús Morón-López, Ángel González-Prieto, et al.. (2022). Chlorophyll soft-sensor based on machine learning models for algal bloom predictions. Scientific Reports. 12(1). 13529–13529. 37 indexed citations
11.
González-Prieto, Ángel, Alberto Mozó, Edgar Talavera, & Sandra Gómez-Canaval. (2021). Dynamics of Fourier Modes in Torus Generative Adversarial Networks. Mathematics. 9(4). 325–325. 7 indexed citations
12.
Mozó, Alberto, et al.. (2019). Regularized greedy column subset selection. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 4 indexed citations
13.
Mozó, Alberto, et al.. (2018). Forecasting short-term data center network traffic load with convolutional neural networks. PLoS ONE. 13(2). e0191939–e0191939. 73 indexed citations
14.
Mozó, Alberto, et al.. (2017). Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure. The European Symposium on Artificial Neural Networks. 5 indexed citations
15.
Zhu, Bo, et al.. (2016). PSCEG: an unbiased parallel subspace clustering algorithm using exact grids.. The European Symposium on Artificial Neural Networks. 2 indexed citations
16.
Mozó, Alberto, et al.. (2015). Node sampling using Random Centrifugal Walks. Journal of Computational Science. 11. 34–45. 1 indexed citations
17.
Mozó, Alberto, et al.. (2012). Elementos facilitadores y limitadores del cambio en la atención a los familiares del paciente crítico. Enfermería Intensiva. 23(3). 121–131. 14 indexed citations
18.
Mozó, Alberto, et al.. (2010). Desarrollo de una guía de atención a los familiares del paciente crítico. Enfermería Intensiva. 21(1). 20–27. 18 indexed citations
19.
Mozó, Alberto, et al.. (2010). Abrir la unidad de cuidados intensivos a los familiares: ¿qué opinan los profesionales?. Enfermería Intensiva. 21(2). 52–57. 13 indexed citations
20.
Mozó, Alberto, et al.. (2009). Improved Signal in Space Accuracy Based on Matrix Indicators. 2839–2851. 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.

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