Rayan Saab
- Computational Mechanics top 2%
- Sparse and Compressive Sensing Techniques 22
- Signal Processing top 5%
- Blind Source Separation Techniques 9
-
- Image and Signal Denoising Methods 13
-
- Microwave Imaging and Scattering Analysis 6
-
- Seismic Imaging and Inversion Techniques 5
-
- Neural Networks and Applications 4
-
- EEG and Brain-Computer Interfaces 3
-
- Distributed Sensor Networks and Detection Algorithms 3
- Co-authors
- Özgür YılmazHassan MansourMichael P. FriedlanderRick ChartrandRachel WardFelix J. HerrmannRafeef AbugharbiehMartin J. McKeown
- Journals
- Applied and Computational Harmonic Analysis (6 papers)IEEE Transactions on Information Theory (3 papers)Information and Inference A Journal of the IMA (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Rayan Saab
40 papers receiving 796 citations
Peers
Comparison fields: 5 of 66
- Computational Mechanics 580
- Signal Processing 218
- Acoustics and Ultrasonics 11
- Computer Vision and Pattern Recognition 224
- Computational Mathematics 4
Countries citing papers authored by Rayan Saab
This map shows the geographic impact of Rayan Saab'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 Rayan Saab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rayan Saab more than expected).
Fields of papers citing papers by Rayan Saab
This network shows the impact of papers produced by Rayan Saab. 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 Rayan Saab. The network helps show where Rayan Saab may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rayan Saab, 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 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2019 | 5 | |
| 6 | Simple Classification Using Binary Data | 2018 | 4 |
| 7 | Simple Object Classification Using Binary Data. | 2017 | 1 |
| 8 | 2015 | 4 | |
| 9 | 2015 | 31 | |
| 10 | 2013 | 4 | |
| 11 | 2012 | 14 | |
| 12 | 2012 | 29 | |
| 13 | 2009 | 79 | |
| 14 | 2008 | 30 | |
| 15 | 2008 | 15 | |
| 16 | 2008 | 114 | |
| 17 | 2006 | 13 | |
| 18 | 2006 | 3 | |
| 19 | 2006 | 2 | |
| 20 | 2005 | 17 |
About Rayan Saab
Rayan Saab is a scholar working on Computational Mechanics, Signal Processing and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 855 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (22 papers), Image and Signal Denoising Methods (13 papers), Blind Source Separation Techniques (9 papers), Microwave Imaging and Scattering Analysis (6 papers), Seismic Imaging and Inversion Techniques (5 papers), Neural Networks and Applications (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Distributed Sensor Networks and Detection Algorithms (3 papers). The work is most often cited by research in Computational Mechanics (580 citations), Signal Processing (218 citations) and Acoustics and Ultrasonics (11 citations). Rayan Saab has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Özgür Yılmaz, Hassan Mansour, Michael P. Friedlander, Rick Chartrand, Rachel Ward, Felix J. Herrmann, Rafeef Abugharbieh, Martin J. McKeown, Gilles Hennenfent and E. van den Berg. Their work appears in journals such as Applied and Computational Harmonic Analysis, IEEE Transactions on Information Theory, Information and Inference A Journal of the IMA, ACM Transactions on Mathematical Software and Journal of Fourier Analysis and Applications.
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.