Flávio Ribeiro
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Speech and Audio Processing 7
- Music and Audio Processing 2
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- Image and Signal Denoising Methods 3
- Image and Video Quality Assessment 2
- Visual Attention and Saliency Detection 2
- Co-authors
- Dinei Florêncio (8 shared papers)Cha Zhang (5 shared papers)Michael L. Seltzer (1 shared paper)Vítor H. Nascimento (5 shared papers)Demba Ba (3 shared papers)Philip A. Chou (1 shared paper)Zhengyou Zhang (1 shared paper)
- Journals
- IEEE Transactions on Audio Speech and Language Processing (2 papers)IEEE Transactions on Image Processing (1 paper)Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing (1 paper)
- Partner nations
- BrazilUnited StatesMozambique
In The Last Decade
Flávio Ribeiro
12 papers receiving 422 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 223
- Computer Science Applications 63
- Computer Vision and Pattern Recognition 154
- Human-Computer Interaction 33
- Cognitive Neuroscience 110
Countries citing papers authored by Flávio Ribeiro
This map shows the geographic impact of Flávio Ribeiro'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 Flávio Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flávio Ribeiro more than expected).
Fields of papers citing papers by Flávio Ribeiro
This network shows the impact of papers produced by Flávio Ribeiro. 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 Flávio Ribeiro. The network helps show where Flávio Ribeiro may publish in the future.
Co-authors
The 7 scholars most cited alongside Flávio Ribeiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 128 | |
| 2 | 2011 | 73 | |
| 3 | 2010 | 61 | |
| 4 | 2012 | 60 | |
| 5 | 2011 | 43 | |
| 6 | 2010 | 36 | |
| 7 | 2010 | 31 | |
| 8 | 2011 | 6 | |
| 9 | 2011 | 4 | |
| 10 | 2011 | 3 | |
| 11 | 2011 | 2 | |
| 12 | 2008 | 1 |
About Flávio Ribeiro
Flávio Ribeiro is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 12 papers that have together received 448 indexed citations. Recurring topics across this work include Speech and Audio Processing (7 papers), Image and Signal Denoising Methods (3 papers), Indoor and Outdoor Localization Technologies (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Music and Audio Processing (2 papers), Image and Video Quality Assessment (2 papers), Visual Attention and Saliency Detection (2 papers) and Advanced Adaptive Filtering Techniques (2 papers). The work is most often cited by research in Signal Processing (223 citations), Computer Science Applications (63 citations), Computer Vision and Pattern Recognition (154 citations), Human-Computer Interaction (33 citations) and Cognitive Neuroscience (110 citations). Flávio Ribeiro has collaborated with scholars based in Brazil, United States and Mozambique. Frequent co-authors include Dinei Florêncio, Cha Zhang, Michael L. Seltzer, Vítor H. Nascimento, Demba Ba, Philip A. Chou and Zhengyou Zhang. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE Transactions on Image Processing and Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing.
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.