Abel González-García
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Safety, Risk, Reliability and Quality top 5%
- Global and Planetary Change
- Co-authors
- Joost van de WeijerFahad Shahbaz KhanLichao ZhangMartin DanelljanLuis HerranzYaxing WangHamed Habibi AghdamAntonio M. López
- Topics
- Generative Adversarial Networks and Image Synthesis (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)Domain Adaptation and Few-Shot Learning (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityArtificial Intelligence
- Journals
- Pattern RecognitionInternational Journal of Computer VisionComputer Vision and Image Understanding
- Partner nations
- SpainSwedenUnited Arab Emirates
In The Last Decade
Abel González-García
8 papers receiving 529 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 478
- Artificial Intelligence 139
- Aerospace Engineering 95
- Safety, Risk, Reliability and Quality 72
- Global and Planetary Change 38
Countries citing papers authored by Abel González-García
This map shows the geographic impact of Abel González-García'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 Abel González-García with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abel González-García more than expected).
Fields of papers citing papers by Abel González-García
This network shows the impact of papers produced by Abel González-García. 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 Abel González-García. The network helps show where Abel González-García may publish in the future.
Co-authorship network of co-authors of Abel González-García
This figure shows the co-authorship network connecting the top 25 collaborators of Abel González-García. A scholar is included among the top collaborators of Abel González-García 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 Abel González-García. Abel González-García 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 | 4 | |
| 3 | 107 | |
| 4 | 2 | |
| 5 | 79 | |
| 6 | 47 | |
| 7 | 22 | |
| 8 | 289 |
About Abel González-García
Abel González-García is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 8 papers that have together received 552 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (478 citations), Safety, Risk, Reliability and Quality (72 citations) and Artificial Intelligence (139 citations). Abel González-García has collaborated with scholars based in Spain, Sweden and United Arab Emirates. Frequent co-authors include Joost van de Weijer, Fahad Shahbaz Khan, Lichao Zhang, Martin Danelljan, Luis Herranz, Yaxing Wang, Hamed Habibi Aghdam, Antonio M. López, Bogdan Raducanu and Wei Huang. Their work appears in journals such as Pattern Recognition, International Journal of Computer Vision and Computer Vision and Image Understanding.
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.