Elisa Sayrol
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience
- Human-Computer Interaction top 10%
- Media Technology top 10%
- Signal Processing
- Co-authors
- Noel E. O’ConnorXavier Giró-i-NietoJunting PanKevin McGuinnessMontse PardàsJ.R. FonollosaJosep VidalR. Bragós
- Topics
- Experimental Learning in Engineering (6 papers)Advanced Steganography and Watermarking Techniques (5 papers)Engineering Education and Curriculum Development (5 papers)
- Journals
- PLoS ONEIEEE Transactions on Image ProcessingInternational Journal of Environmental Research and Public Health
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Elisa Sayrol
21 papers receiving 385 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 319
- Cognitive Neuroscience 67
- Human-Computer Interaction 51
- Media Technology 44
- Signal Processing 39
Countries citing papers authored by Elisa Sayrol
This map shows the geographic impact of Elisa Sayrol'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 Elisa Sayrol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisa Sayrol more than expected).
Fields of papers citing papers by Elisa Sayrol
This network shows the impact of papers produced by Elisa Sayrol. 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 Elisa Sayrol. The network helps show where Elisa Sayrol may publish in the future.
Co-authorship network of co-authors of Elisa Sayrol
This figure shows the co-authorship network connecting the top 25 collaborators of Elisa Sayrol. A scholar is included among the top collaborators of Elisa Sayrol 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 Elisa Sayrol. Elisa Sayrol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 265 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Perceptual masks in the wavelet domain for color image watermarking | 1 |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 0 | |
| 15 | 26 | |
| 16 | 19 | |
| 17 | 13 | |
| 18 | 30 | |
| 19 | 6 | |
| 20 | Proceso de inserción de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo cdio | 3 |
About Elisa Sayrol
Elisa Sayrol is a scholar working on Architecture, Media Technology and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 400 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Engineering Education and Curriculum Development (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (319 citations), Human-Computer Interaction (51 citations) and Sensory Systems (39 citations). Elisa Sayrol has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Noel E. O’Connor, Xavier Giró-i-Nieto, Junting Pan, Kevin McGuinness, Montse Pardàs, J.R. Fonollosa, Josep Vidal, R. Bragós, C.L. Nikias and Eduard Alarcón. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and International Journal of Environmental Research and Public Health.
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.