Ángel González-Prieto
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Signal Processing top 10%
- Co-authors
- Sandra Gómez-CanavalAlberto MozóEdgar TalaveraFernando OrtegaGuillermo IglesiasRaúl Lara-CabreraJesús BobadillaJorge Pérez
- Topics
- Recommender Systems and Techniques (11 papers)Algebraic Geometry and Number Theory (6 papers)Generative Adversarial Networks and Image Synthesis (5 papers)
In The Last Decade
Ángel González-Prieto
27 papers receiving 422 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 146
- Information Systems 142
- Computer Vision and Pattern Recognition 84
- Computer Networks and Communications 57
- Signal Processing 46
Countries citing papers authored by Ángel González-Prieto
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | Data Augmentation techniques in time series domain: a survey and taxonomybreakdown → | 145 |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 37 | |
| 9 | 15 | |
| 10 | 20 | |
| 11 | 16 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 28 | |
| 18 | 33 | |
| 19 | 8 | |
| 20 | Stratification of algebraic quotients and character varieties | 2 |
About Ángel González-Prieto
Ángel González-Prieto is a scholar working on Information Systems, Geometry and Topology and Discrete Mathematics and Combinatorics, having authored 31 papers that have together received 441 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (11 papers), Algebraic Geometry and Number Theory (6 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). The work is most often cited by research in Information Systems (142 citations), Artificial Intelligence (146 citations) and Signal Processing (46 citations). Ángel González-Prieto has collaborated with scholars based in Spain and Poland. Frequent co-authors include Sandra Gómez-Canaval, Alberto Mozó, Edgar Talavera, Fernando Ortega, Guillermo Iglesias, Raúl Lara-Cabrera, Jesús Bobadilla, Jorge Pérez, Jessica Díaz and Abraham Gutiérrez. Their work appears in journals such as Scientific Reports, Sensors and Information Sciences.
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.