Pau Rodríguez
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Experimental and Cognitive Psychology top 10%
- Signal Processing top 10%
- Co-authors
- Jordi GonzàlezMiguel Ángel BautistaSérgio EscaleraDavid VázquezAlexandre LacosteF. Xavier RocaJosep M. GonfausGuillem Cucurull
- Topics
- Domain Adaptation and Few-Shot Learning (8 papers)Advanced Neural Network Applications (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)
In The Last Decade
Pau Rodríguez
24 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Vision and Pattern Recognition 427
- Artificial Intelligence 349
- Media Technology 209
- Experimental and Cognitive Psychology 139
- Signal Processing 71
Countries citing papers authored by Pau Rodríguez
This map shows the geographic impact of Pau Rodríguez'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 Pau Rodríguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pau Rodríguez more than expected).
Fields of papers citing papers by Pau Rodríguez
This network shows the impact of papers produced by Pau Rodríguez. 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 Pau Rodríguez. The network helps show where Pau Rodríguez may publish in the future.
Co-authorship network of co-authors of Pau Rodríguez
This figure shows the co-authorship network connecting the top 25 collaborators of Pau Rodríguez. A scholar is included among the top collaborators of Pau Rodríguez 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 Pau Rodríguez. Pau Rodríguez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 23 | |
| 3 | 9 | |
| 4 | 32 | |
| 5 | 61 | |
| 6 | 83 | |
| 7 | 24 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning | 23 |
| 11 | 3 | |
| 12 | 3 | |
| 13 | Beyond one-hot encoding: Lower dimensional target embeddingbreakdown → | 299 |
| 14 | A Painless Attention Mechanism for Convolutional Neural Networks | 3 |
| 15 | 29 | |
| 16 | 204 | |
| 17 | Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images. | 5 |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 55 |
About Pau Rodríguez
Pau Rodríguez is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Media Technology (209 citations), Computer Vision and Pattern Recognition (427 citations) and Artificial Intelligence (349 citations). Pau Rodríguez has collaborated with scholars based in Spain, Canada and Japan. Frequent co-authors include Jordi Gonzàlez, Miguel Ángel Bautista, Sérgio Escalera, David Vázquez, Alexandre Lacoste, F. Xavier Roca, Josep M. Gonfaus, Guillem Cucurull, Oscar Mañas and Xavier Giró-i-Nieto. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Atmospheric Environment.
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.