Ángel González-Prieto

919 total citations · 1 hit paper
31 papers, 441 citations indexed

About

Ángel González-Prieto is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ángel González-Prieto has authored 31 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Ángel González-Prieto's work include Recommender Systems and Techniques (11 papers), Algebraic Geometry and Number Theory (6 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Ángel González-Prieto is often cited by papers focused on Recommender Systems and Techniques (11 papers), Algebraic Geometry and Number Theory (6 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Ángel González-Prieto collaborates with scholars based in Spain and Poland. Ángel González-Prieto's co-authors include Sandra Gómez-Canaval, Alberto Mozó, Edgar Talavera, Fernando Ortega, Guillermo Iglesias, Raúl Lara-Cabrera, Jesús Bobadilla, Jessica Díaz, Jorge Pérez and Abraham Gutiérrez and has published in prestigious journals such as Scientific Reports, Sensors and Information Sciences.

In The Last Decade

Ángel González-Prieto

27 papers receiving 422 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
Ángel González-Prieto Spain	11	146	142	84	57	46	31	441
Ramzan Talib Pakistan	8	286 2.0×	141 1.0×	116 1.4×	77 1.4×	44 1.0×	26	667
Martin Bobák Slovakia	5	179 1.2×	78 0.5×	72 0.9×	86 1.5×	40 0.9×	21	555
Vivian F. López Spain	11	120 0.8×	175 1.2×	118 1.4×	40 0.7×	47 1.0×	33	381
Hoda Eldardiry United States	11	197 1.3×	110 0.8×	44 0.5×	120 2.1×	77 1.7×	51	470
Tomáš Horváth Slovakia	14	271 1.9×	173 1.2×	75 0.9×	41 0.7×	24 0.5×	40	538
Erna Budhiarti Nababan Indonesia	14	293 2.0×	244 1.7×	101 1.2×	32 0.6×	26 0.6×	125	670
Faliang Huang China	13	396 2.7×	133 0.9×	152 1.8×	58 1.0×	37 0.8×	50	702
Marcin Korytkowski Poland	13	247 1.7×	133 0.9×	127 1.5×	75 1.3×	97 2.1×	49	543

Countries citing papers authored by Ángel González-Prieto

Since Specialization

Citations

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

Fields of papers citing papers by Ángel González-Prieto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ángel González-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 Ángel González-Prieto. The network helps show where Ángel González-Prieto may publish in the future.

Co-authorship network of co-authors of Ángel González-Prieto

This figure shows the co-authorship network connecting the top 25 collaborators of Ángel González-Prieto. A scholar is included among the top collaborators of Ángel González-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 Ángel González-Prieto. Ángel González-Prieto 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

Ortega, Fernando, et al.. (2024). Incorporating recklessness to collaborative filtering based recommender systems. Information Sciences. 679. 121131–121131. 2 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 →

Ortega, Fernando, et al.. (2023). New Trends in Artificial Intelligence for Recommender Systems and Collaborative Filtering. Applied Sciences. 13(15). 8845–8845.

González-Prieto, Ángel, Jorge Pérez, Jessica Díaz, & Daniel López-Fernández. (2023). Reliability in software engineering qualitative research through Inter-Coder Agreement. Journal of Systems and Software. 202. 111707–111707. 11 indexed citations

González-Prieto, Ángel, et al.. (2023). On character varieties of singular manifolds. Research in the Mathematical Sciences. 10(3).

González-Prieto, Ángel, et al.. (2023). Geometry of SU(3)-character varieties of torus knots. Topology and its Applications. 339. 108586–108586.

Lara-Cabrera, Raúl, et al.. (2022). Dirichlet Matrix Factorization: A Reliable Classification-Based Recommender System. Applied Sciences. 12(3). 1223–1223. 6 indexed citations

Díaz, Jessica, et al.. (2022). Applying Inter-Rater Reliability and Agreement in collaborative Grounded Theory studies in software engineering. Journal of Systems and Software. 195. 111520–111520. 15 indexed citations

Pérez, Jorge, et al.. (2022). Edge computing. Computing. 104(12). 2711–2747. 20 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.

Pérez, Jorge, et al.. (2021). DevOps Research-Based Teaching Using Qualitative Research and Inter-Coder Agreement. IEEE Transactions on Software Engineering. 48(9). 3378–3393. 7 indexed citations

13.

Bobadilla, Jesús, Ángel González-Prieto, Fernando Ortega, & Raúl Lara-Cabrera. (2021). Deep learning approach to obtain collaborative filtering neighborhoods. Neural Computing and Applications. 34(4). 2939–2951. 9 indexed citations

14.

Lara-Cabrera, Raúl, Ángel González-Prieto, & Fernando Ortega. (2020). Deep Matrix Factorization Approach for Collaborative Filtering Recommender Systems. Applied Sciences. 10(14). 4926–4926. 33 indexed citations

15.

Bobadilla, Jesús, Ángel González-Prieto, Fernando Ortega, & Raúl Lara-Cabrera. (2020). Deep learning feature selection to unhide demographic recommender systems factors. Neural Computing and Applications. 33(12). 7291–7308. 18 indexed citations

16.

Muñoz, Vicente, et al.. (2020). Geometry and Topology of Manifolds. Graduate studies in mathematics. 7 indexed citations

17.

Ortega, Fernando, Raúl Lara-Cabrera, Ángel González-Prieto, & Jesús Bobadilla. (2020). Providing reliability in recommender systems through Bernoulli Matrix Factorization. Information Sciences. 553. 110–128. 28 indexed citations

18.

Ortega, Fernando & Ángel González-Prieto. (2020). Recommender Systems and Collaborative Filtering. Applied Sciences. 10(20). 7050–7050. 7 indexed citations

19.

González-Prieto, Ángel. (2020). Virtual classes of parabolic SL2(C)-character varieties. Advances in Mathematics. 368. 107148–107148. 4 indexed citations

20.

González-Prieto, Ángel. (2018). Stratification of algebraic quotients and character varieties. arXiv (Cornell University). 2 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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