Pablo Arias
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Computational Mechanics top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Biomedical Engineering
- Co-authors
- Gabriele FaccioloJean‐Michel MorelGuillermo SapiroVicent CasellesThibaud EhretAxel DavyGrégory RandallV. Caselles
- Topics
- Image and Signal Denoising Methods (19 papers)Advanced Image Processing Techniques (18 papers)Advanced Image Fusion Techniques (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
- Partner nations
- FranceSpainUnited States
In The Last Decade
Pablo Arias
33 papers receiving 487 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 427
- Media Technology 156
- Computational Mechanics 73
- Computer Graphics and Computer-Aided Design 56
- Biomedical Engineering 33
Countries citing papers authored by Pablo Arias
This map shows the geographic impact of Pablo Arias'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 Pablo Arias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Arias more than expected).
Fields of papers citing papers by Pablo Arias
This network shows the impact of papers produced by Pablo Arias. 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 Pablo Arias. The network helps show where Pablo Arias may publish in the future.
Co-authorship network of co-authors of Pablo Arias
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Arias. A scholar is included among the top collaborators of Pablo Arias 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 Pablo Arias. Pablo Arias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 25 | |
| 7 | 9 | |
| 8 | Joint demosaicing and denoising by overfitting of bursts of raw images. | 10 |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 55 | |
| 13 | 7 | |
| 14 | 24 | |
| 15 | 23 | |
| 16 | 10 | |
| 17 | 7 | |
| 18 | 9 | |
| 19 | Segmentación con información a priori de forma aplicada a Sistema de Valoración Cárnica | 1 |
| 20 | 1 |
About Pablo Arias
Pablo Arias is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 34 papers that have together received 507 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (19 papers), Advanced Image Processing Techniques (18 papers) and Advanced Image Fusion Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (427 citations), Media Technology (156 citations) and Computer Graphics and Computer-Aided Design (56 citations). Pablo Arias has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Gabriele Facciolo, Jean‐Michel Morel, Guillermo Sapiro, Vicent Caselles, Thibaud Ehret, Axel Davy, Grégory Randall, V. Caselles, Pablo Sprechmann and Coloma Ballester. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and International Journal of Computer Vision.
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.