Rayan Saab

50 papers receiving 1.0k citations

Peers

Rayan Saab
Comparison fields: 5 of 68
  • Computational Mechanics 735
  • Signal Processing 272
  • Acoustics and Ultrasonics 16
  • Computer Vision and Pattern Recognition 290
  • Computational Mathematics 6
Replace Patrick Kuppinger with:
Patrick Kuppinger Switzerland
C. Si̇nan Güntürk United States
Christian Jutten France
Karin Schnass Switzerland
Badri Narayan Bhaskar United States
Anamitra Makur Singapore
Gilles Puy France
Alyson K. Fletcher United States
Shane F. Cotter United States
Jeffrey D. Blanchard United States
Rayan Saab relative to Patrick Kuppinger Switzerland Patrick Kuppinger's profile →
Citations per field
00.5×1.5×
Patrick Kuppinger · 1×
Citations per year

Countries citing papers authored by Rayan Saab

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Rayan Saab Line = papers co-authored together Rayan Saab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011169
2 2008121
3 2016118
4 200981
5
Sparco: A Testing Framework for Sparse Reconstruction
200767
6 201552
7 201244
8 200736
9 201032
10 201532
11 200829
12 200926
13 202322
14 201222
15 200519
16 200716
17 201214
18 201513
19 200613
20 201013

About Rayan Saab

Rayan Saab is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Signal Processing, Applied Mathematics and Biomedical Engineering, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (29 papers), Image and Signal Denoising Methods (16 papers), Blind Source Separation Techniques (12 papers), Microwave Imaging and Scattering Analysis (7 papers), Mathematical Analysis and Transform Methods (6 papers), Advanced X-ray Imaging Techniques (4 papers), Distributed Sensor Networks and Detection Algorithms (4 papers) and Seismic Imaging and Inversion Techniques (4 papers). The work is most often cited by research in Computational Mechanics (735 citations), Signal Processing (272 citations), Acoustics and Ultrasonics (16 citations), Computer Vision and Pattern Recognition (290 citations) and Computational Mathematics (6 citations). Rayan Saab has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Özgür Yılmaz, Hassan Mansour, Michael P. Friedlander, Rachel Ward, Rick Chartrand, Felix J. Herrmann, Felix Krahmer, Rafeef Abugharbieh, Martin J. McKeown and C. Si̇nan Güntürk. Their work appears in journals such as Applied and Computational Harmonic Analysis, Information and Inference A Journal of the IMA, IEEE Transactions on Information Theory, Journal of Fourier Analysis and Applications and ACM Transactions on Mathematical Software.

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.

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