Ana Rebelo
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Artificial Intelligence
- Music top 2%
- Human-Computer Interaction top 10%
- Co-authors
- Jaime S. CardosoCarlos GuedesA. MarçalIchiro FujinagaPedro M. FerreiraJoão Borges de SousaJoaquim Pinto da CostaAna F. Sequeira
- Topics
- Music and Audio Processing (13 papers)Handwritten Text Recognition Techniques (7 papers)Music Technology and Sound Studies (6 papers)
In The Last Decade
Ana Rebelo
25 papers receiving 529 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 418
- Signal Processing 369
- Artificial Intelligence 51
- Music 50
- Human-Computer Interaction 43
Countries citing papers authored by Ana Rebelo
This map shows the geographic impact of Ana Rebelo'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 Ana Rebelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Rebelo more than expected).
Fields of papers citing papers by Ana Rebelo
This network shows the impact of papers produced by Ana Rebelo. 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 Ana Rebelo. The network helps show where Ana Rebelo may publish in the future.
Co-authorship network of co-authors of Ana Rebelo
This figure shows the co-authorship network connecting the top 25 collaborators of Ana Rebelo. A scholar is included among the top collaborators of Ana Rebelo 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 Ana Rebelo. Ana Rebelo 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 | 2 | |
| 3 | 8 | |
| 4 | Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations | 6 |
| 5 | 50 | |
| 6 | 11 | |
| 7 | 30 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 24 | |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 144 | |
| 14 | A Method for Music Symbols Extraction based on Musical Rules | 7 |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 66 | |
| 18 | INTEGRATED RECOGNITION SYSTEM FOR MUSIC SCORES | 2 |
| 19 | 15 | |
| 20 | 12 |
About Ana Rebelo
Ana Rebelo is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 25 papers that have together received 561 indexed citations. Recurring topics across this work include Music and Audio Processing (13 papers), Handwritten Text Recognition Techniques (7 papers) and Music Technology and Sound Studies (6 papers). The work is most often cited by research in Signal Processing (369 citations), Computer Vision and Pattern Recognition (418 citations) and Music (50 citations). Ana Rebelo has collaborated with scholars based in Portugal, China and Belgium. Frequent co-authors include Jaime S. Cardoso, Carlos Guedes, A. Marçal, Ichiro Fujinaga, Pedro M. Ferreira, João Borges de Sousa, Joaquim Pinto da Costa, Ana F. Sequeira, Hélder P. Oliveira and Jing Zhang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.
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.