Sandra Gómez-Canaval

807 total citations · 1 hit paper
28 papers, 447 citations indexed

About

Sandra Gómez-Canaval is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Sandra Gómez-Canaval has authored 28 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Molecular Biology and 6 papers in Computer Networks and Communications. Recurrent topics in Sandra Gómez-Canaval's work include DNA and Biological Computing (10 papers), Network Security and Intrusion Detection (5 papers) and Modular Robots and Swarm Intelligence (4 papers). Sandra Gómez-Canaval is often cited by papers focused on DNA and Biological Computing (10 papers), Network Security and Intrusion Detection (5 papers) and Modular Robots and Swarm Intelligence (4 papers). Sandra Gómez-Canaval collaborates with scholars based in Spain, Romania and Poland. Sandra Gómez-Canaval's co-authors include Alberto Mozó, Ángel González-Prieto, Edgar Talavera, Guillermo Iglesias, Antonio Pastor, Juan Manuel Ortiz, Diego López, Antonio Lioy, Juan A. Aguilar and Jesús Morón-López and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Sandra Gómez-Canaval

27 papers receiving 432 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.

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						Papers	Cites
Sandra Gómez-Canaval Spain	10	158	107	86	49	45	28	447
Ishfaq Yaseen Saudi Arabia	14	254 1.6×	171 1.6×	83 1.0×	92 1.9×	58 1.3×	95	629
Marius-Constantin Popescu Romania	7	133 0.8×	68 0.6×	45 0.5×	58 1.2×	81 1.8×	43	548
Yongdong Zhu China	13	124 0.8×	148 1.4×	49 0.6×	89 1.8×	21 0.5×	48	591
Tiago Carneiro Brazil	9	199 1.3×	127 1.2×	69 0.8×	124 2.5×	22 0.5×	17	721
Hassan Ramchoun Morocco	5	208 1.3×	42 0.4×	31 0.4×	65 1.3×	40 0.9×	14	548
Muhammad Kashif Hanif Pakistan	9	206 1.3×	67 0.6×	47 0.5×	113 2.3×	31 0.7×	27	524
Liliana Perescu-Popescu Romania	6	106 0.7×	50 0.5×	38 0.4×	57 1.2×	45 1.0×	12	457
Hamza Kheddar Algeria	12	262 1.7×	125 1.2×	133 1.5×	107 2.2×	55 1.2×	42	560
Paulo Martins Engel Brazil	11	207 1.3×	62 0.6×	55 0.6×	167 3.4×	83 1.8×	52	500

Countries citing papers authored by Sandra Gómez-Canaval

Since Specialization

Citations

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

Fields of papers citing papers by Sandra Gómez-Canaval

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra Gómez-Canaval. 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 Sandra Gómez-Canaval. The network helps show where Sandra Gómez-Canaval may publish in the future.

Co-authorship network of co-authors of Sandra Gómez-Canaval

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Gómez-Canaval. A scholar is included among the top collaborators of Sandra Gómez-Canaval 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 Sandra Gómez-Canaval. Sandra Gómez-Canaval 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

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

Gómez-Canaval, Sandra, et al.. (2024). Automatic Speech Recognition Advancements for Indigenous Languages of the Americas. Applied Sciences. 14(15). 6497–6497. 1 indexed citations

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

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

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 →

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

Mozó, Alberto, et al.. (2023). Using N-BEATS ensembles to predict automated guided vehicle deviation. Applied Intelligence. 53(21). 26139–26204. 7 indexed citations

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

Mozó, Alberto, et al.. (2022). B5GEMINI: AI-Driven Network Digital Twin. Sensors. 22(11). 4106–4106. 26 indexed citations

10.

Mozó, Alberto, Ángel González-Prieto, Antonio Pastor, Sandra Gómez-Canaval, & Edgar Talavera. (2022). Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks. Scientific Reports. 12(1). 2091–2091. 16 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.

Gómez-Canaval, Sandra, et al.. (2019). Ultra-Scalable Simulations of Networks of Polarized Evolutionary Processors. 73–81. 1 indexed citations

13.

Mozó, Alberto, et al.. (2019). Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks. IEEE Access. 7. 179779–179798. 7 indexed citations

14.

Gómez-Canaval, Sandra, et al.. (2019). High Performance and Scalable Simulations of a Bio-inspired Computational Model. 136. 543–550. 1 indexed citations

15.

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

16.

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

17.

Arroyo, Fernando, Sandra Gómez-Canaval, Victor Mitrana, & Ştefan Popescu. (2016). On the computational power of networks of polarized evolutionary processors. Information and Computation. 253. 371–380. 10 indexed citations

18.

Arroyo, Fernando, et al.. (2016). Transducers based on networks of polarized evolutionary processors. Theoretical Computer Science. 682. 22–29. 1 indexed citations

19.

Gómez-Canaval, Sandra, et al.. (2016). Solving optimization problems by using networks of evolutionary processors with quantitative filtering. Journal of Computational Science. 16. 65–71. 3 indexed citations

20.

Gómez-Canaval, Sandra, et al.. (2014). Transducers Based on Networks of Evolutionary Processors. Journal of automata, languages and combinatorics. 19. 93–105. 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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