Alberto Huertas Celdrán

2.7k total citations · 1 hit paper
112 papers, 1.5k citations indexed

About

Alberto Huertas Celdrán is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Alberto Huertas Celdrán has authored 112 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Networks and Communications, 49 papers in Artificial Intelligence and 30 papers in Signal Processing. Recurrent topics in Alberto Huertas Celdrán's work include Network Security and Intrusion Detection (34 papers), Advanced Malware Detection Techniques (29 papers) and Privacy-Preserving Technologies in Data (21 papers). Alberto Huertas Celdrán is often cited by papers focused on Network Security and Intrusion Detection (34 papers), Advanced Malware Detection Techniques (29 papers) and Privacy-Preserving Technologies in Data (21 papers). Alberto Huertas Celdrán collaborates with scholars based in Spain, Switzerland and Ireland. Alberto Huertas Celdrán's co-authors include Gregorio Martínez Pérez, Manuel Gil Pérez, Félix J. García Clemente, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Sergio López Bernal, Lorenzo Fernández Maimó, Ángel Luis Perales Gómez, Enrique Tomás Martínez Beltrán and Mario Quiles Pérez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and IEEE Communications Surveys & Tutorials.

In The Last Decade

Alberto Huertas Celdrán

103 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

2023 232 citations Enrique Tomás Martínez Beltrán, Mario Quiles Pérez et al. IEEE Communications Surveys & Tutorials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alberto Huertas Celdrán Spain	21	726	652	408	362	215	112	1.5k
Khalil El‐Khatib Canada	21	1.1k 1.5×	615 0.9×	300 0.7×	246 0.7×	383 1.8×	105	1.9k
Jinli Cao Australia	26	506 0.7×	827 1.3×	514 1.3×	264 0.7×	95 0.4×	116	1.8k
Γεώργιος Μαντάς Portugal	22	954 1.3×	448 0.7×	625 1.5×	350 1.0×	339 1.6×	79	1.5k
Sk. Md. Mizanur Rahman Saudi Arabia	23	798 1.1×	521 0.8×	681 1.7×	213 0.6×	191 0.9×	74	1.7k
Krishna K. Venkatasubramanian United States	18	767 1.1×	199 0.3×	725 1.8×	283 0.8×	217 1.0×	53	1.8k
Brandon Amos United States	17	834 1.1×	352 0.5×	382 0.9×	297 0.8×	240 1.1×	31	1.8k
Aladdin Ayesh United Kingdom	16	429 0.6×	544 0.8×	424 1.0×	225 0.6×	121 0.6×	108	1.3k
Kasper Rasmussen United Kingdom	27	910 1.3×	817 1.3×	770 1.9×	529 1.5×	792 3.7×	73	2.3k
Chen Yan China	18	729 1.0×	782 1.2×	433 1.1×	721 2.0×	379 1.8×	58	1.8k
Oliver Brdiczka United States	16	598 0.8×	403 0.6×	405 1.0×	239 0.7×	154 0.7×	46	1.6k

Countries citing papers authored by Alberto Huertas Celdrán

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Huertas Celdrán

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Huertas Celdrán

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Huertas Celdrán. A scholar is included among the top collaborators of Alberto Huertas Celdrán 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 Huertas Celdrán. Alberto Huertas Celdrán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bernal, Sergio López, Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Gregorio Martínez Pérez, & Alberto Huertas Celdrán. (2025). When Brain–Computer Interfaces meet the metaverse: Landscape, demonstrator, trends, challenges, and concerns. Neurocomputing. 625. 129537–129537. 2 indexed citations

Celdrán, Alberto Huertas, et al.. (2025). CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation. IEEE Transactions on Dependable and Secure Computing. 22(4). 4398–4411. 1 indexed citations

Celdrán, Alberto Huertas, et al.. (2024). RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-Day Attacks in IoT. IEEE Transactions on Information Forensics and Security. 19. 5520–5529. 8 indexed citations

Gómez, Ángel Luis Perales, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, & Félix J. García Clemente. (2024). Detection of Adversarial Attacks Using Deep Learning and Features Extracted From Interpretability Methods in Industrial Scenarios. IEEE Access. 13. 2705–2722.

Kennedy, Sara, et al.. (2024). A Systematic Literature Review of XR Interventions to Improve Motor Skills Development Among Autistic Children. IEEE Access. 12. 108953–108974. 1 indexed citations

Celdrán, Alberto Huertas, Pedro Miguel Sánchez Sánchez, Ángel Luis Perales Gómez, et al.. (2023). Behavioral fingerprinting to detect ransomware in resource-constrained devices. Computers & Security. 135. 103510–103510. 11 indexed citations

Gómez, Ángel Luis Perales, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, & Félix J. García Clemente. (2023). VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios. Journal of Information Security and Applications. 79. 103647–103647.

Pérez, Mario Quiles, Enrique Tomás Martínez Beltrán, Sergio López Bernal, Gregorio Martínez Pérez, & Alberto Huertas Celdrán. (2023). Analyzing the impact of Driving tasks when detecting emotions through brain–computer interfaces. Neural Computing and Applications. 3 indexed citations

Gómez, Ángel Luis Perales, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, & Félix J. García Clemente. (2023). An interpretable semi‐supervised system for detecting cyberattacks using anomaly detection in industrial scenarios. IET Information Security. 17(4). 553–566. 3 indexed citations

10.

Beltrán, Enrique Tomás Martínez, Ángel Luis Perales Gómez, Pedro Miguel Sánchez Sánchez, et al.. (2023). Fedstellar: A Platform for Decentralized Federated Learning. Expert Systems with Applications. 242. 122861–122861. 37 indexed citations

11.

Gómez, Ángel Luis Perales, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, & Félix J. García Clemente. (2023). SUSAN: A Deep Learning based anomaly detection framework for sustainable industry. Sustainable Computing Informatics and Systems. 37. 100842–100842. 23 indexed citations

12.

Beltrán, Enrique Tomás Martínez, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, et al.. (2023). Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges. IEEE Communications Surveys & Tutorials. 25(4). 2983–3013. 232 indexed citations breakdown →

13.

Celdrán, Alberto Huertas, Pedro Miguel Sánchez Sánchez, Eder J. Scheid, et al.. (2022). Policy-based and Behavioral Framework to Detect Ransomware Affecting Resource-constrained Sensors. 1–7. 2 indexed citations

14.

Gómez, Ángel Luis Perales, et al.. (2022). A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios. IEEE Access. 10. 124582–124594. 3 indexed citations

15.

Gómez, Ángel Luis Perales, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, et al.. (2020). SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry. Software Practice and Experience. 51(3). 607–627. 18 indexed citations

16.

Pérez, Manuel Gil, Alberto Huertas Celdrán, Félix J. García Clemente, & Gregorio Martínez Pérez. (2020). Review and Open Challenges of Public Safety Networks to Manage Emergency Settings in 5G. 555–558. 3 indexed citations

17.

Gómez, Ángel Luis Perales, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, & Félix J. García Clemente. (2020). MADICS: A Methodology for Anomaly Detection in Industrial Control Systems. Symmetry. 12(10). 1583–1583. 43 indexed citations

18.

Celdrán, Alberto Huertas, et al.. (2019). Self-Organized Laboratories for Smart Campus. IEEE Transactions on Learning Technologies. 13(2). 404–416. 24 indexed citations

19.

Maimó, Lorenzo Fernández, Alberto Huertas Celdrán, Ángel Luis Perales Gómez, et al.. (2019). Intelligent and Dynamic Ransomware Spread Detection and Mitigation in Integrated Clinical Environments. Sensors. 19(5). 1114–1114. 80 indexed citations

20.

Gómez, Ángel Luis Perales, et al.. (2019). On the Generation of Anomaly Detection Datasets in Industrial Control Systems. IEEE Access. 7. 177460–177473. 81 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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