Xavier Boix
- Computer Vision and Pattern Recognition top 1%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Media Technology top 2%
- Human-Computer Interaction top 5%
- Co-authors
- Qi ZhaoChengyao ShenXun HuangGemma RoigLuc Van GoolMichael Van den BerghJoan SerratJordi Gonzàlez
- Topics
- Advanced Image and Video Retrieval Techniques (15 papers)Advanced Neural Network Applications (12 papers)Domain Adaptation and Few-Shot Learning (9 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsScience Advances
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Xavier Boix
35 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 896
- Cognitive Neuroscience 151
- Artificial Intelligence 149
- Media Technology 142
- Human-Computer Interaction 121
Countries citing papers authored by Xavier Boix
This map shows the geographic impact of Xavier Boix'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 Xavier Boix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Boix more than expected).
Fields of papers citing papers by Xavier Boix
This network shows the impact of papers produced by Xavier Boix. 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 Xavier Boix. The network helps show where Xavier Boix may publish in the future.
Co-authorship network of co-authors of Xavier Boix
This figure shows the co-authorship network connecting the top 25 collaborators of Xavier Boix. A scholar is included among the top collaborators of Xavier Boix 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 Xavier Boix. Xavier Boix is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision | 9 |
| 13 | 2 | |
| 14 | SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networksbreakdown → | 376 |
| 15 | 0 | |
| 16 | 11 | |
| 17 | 49 | |
| 18 | Fusing Global and Local Scale for Semantic Image Segmentation | 4 |
| 19 | 4 | |
| 20 | Non linear image analysis for fuzzy classification of breast cancer | 1 |
About Xavier Boix
Xavier Boix is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Advanced Neural Network Applications (12 papers) and Domain Adaptation and Few-Shot Learning (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (896 citations), Human-Computer Interaction (121 citations) and Media Technology (142 citations). Xavier Boix has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Qi Zhao, Chengyao Shen, Xun Huang, Gemma Roig, Luc Van Gool, Michael Van den Bergh, Joan Serrat, Jordi Gonzàlez, Josep M. Gonfaus and Joost van de Weijer. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Science Advances.
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.