Özgür Yılmaz

3.7k total citations · 1 hit paper
51 papers, 2.4k citations indexed

About

Özgür Yılmaz is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Özgür Yılmaz has authored 51 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 23 papers in Computer Vision and Pattern Recognition and 21 papers in Signal Processing. Recurrent topics in Özgür Yılmaz's work include Sparse and Compressive Sensing Techniques (26 papers), Image and Signal Denoising Methods (22 papers) and Blind Source Separation Techniques (13 papers). Özgür Yılmaz is often cited by papers focused on Sparse and Compressive Sensing Techniques (26 papers), Image and Signal Denoising Methods (22 papers) and Blind Source Separation Techniques (13 papers). Özgür Yılmaz collaborates with scholars based in Canada, United States and China. Özgür Yılmaz's co-authors include Scott Rickard, Rayan Saab, Michael P. Friedlander, Alexander M. Powell, Hassan Mansour, John J. Benedetto, Rick Chartrand, Felix J. Herrmann, Mark Lammers and Ingrid Daubechies and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Özgür Yılmaz

51 papers receiving 2.2k citations

Hit Papers

Blind Separation of Speech Mixtures via Time-Frequency Ma... 2004 2026 2011 2018 2004 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Özgür Yılmaz Canada 20 1.6k 1.3k 485 341 206 51 2.4k
Massoud Babaie‐Zadeh Iran 24 828 0.5× 1.3k 1.0× 749 1.5× 533 1.6× 280 1.4× 94 2.2k
Srdjan Stanković Montenegro 26 701 0.4× 969 0.8× 1.1k 2.2× 690 2.0× 328 1.6× 162 2.5k
Ron Rubinstein Israel 9 544 0.3× 1.3k 1.0× 1.6k 3.3× 489 1.4× 156 0.8× 11 2.7k
Ingrid Daubechies United States 15 740 0.5× 375 0.3× 1.5k 3.1× 103 0.3× 125 0.6× 23 2.1k
Peter J. Schreier Germany 19 1.0k 0.6× 491 0.4× 244 0.5× 102 0.3× 857 4.2× 105 2.4k
Miloš Daković Montenegro 25 447 0.3× 478 0.4× 557 1.1× 400 1.2× 291 1.4× 143 2.0k
Shane F. Cotter United States 14 1.0k 0.6× 1.3k 1.0× 429 0.9× 443 1.3× 514 2.5× 24 2.1k
N. Kingsbury United Kingdom 25 687 0.4× 235 0.2× 1.9k 3.9× 135 0.4× 182 0.9× 81 2.4k
R.A. Haddad United States 13 583 0.4× 293 0.2× 1.3k 2.8× 132 0.4× 182 0.9× 49 2.0k
Farokh Marvasti Iran 24 629 0.4× 704 0.5× 724 1.5× 591 1.7× 983 4.8× 198 2.6k

Countries citing papers authored by Özgür Yılmaz

Since Specialization
Citations

This map shows the geographic impact of Özgür Yılmaz'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 Özgür Yılmaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Özgür Yılmaz more than expected).

Fields of papers citing papers by Özgür Yılmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Özgür Yılmaz. 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 Özgür Yılmaz. The network helps show where Özgür Yılmaz may publish in the future.

Co-authorship network of co-authors of Özgür Yılmaz

This figure shows the co-authorship network connecting the top 25 collaborators of Özgür Yılmaz. A scholar is included among the top collaborators of Özgür Yılmaz 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 Özgür Yılmaz. Özgür Yılmaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Maberley, David, et al.. (2023). Learning from small data: Classifying sex from retinal images via deep learning. PLoS ONE. 18(8). e0289211–e0289211. 6 indexed citations
2.
Yılmaz, Özgür, et al.. (2023). Artificial intelligence, explainability, and the scientific method: A proof-of-concept study on novel retinal biomarker discovery. PNAS Nexus. 2(9). pgad290–pgad290. 4 indexed citations
3.
Yılmaz, Özgür, et al.. (2023). Embracing off-the-grid samples. PubMed. 21(2). 26–26. 1 indexed citations
4.
Li, Xiaowei, et al.. (2021). PLUGIn: A simple algorithm for inverting generative models with recovery guarantees. Neural Information Processing Systems. 34. 2 indexed citations
5.
Saab, Rayan, Rongrong Wang, & Özgür Yılmaz. (2015). Near-Optimal Compression for Compressed Sensing. 26. 113–122. 1 indexed citations
6.
Mansour, Hassan, Felix J. Herrmann, & Özgür Yılmaz. (2013). Improved wavefield reconstruction from randomized sampling via weighted one-norm minimization. Geophysics. 78(5). V193–V206. 25 indexed citations
7.
Wang, Yang, Özgür Yılmaz, & Zhengfang Zhou. (2013). Phase aliasing correction for robust blind source separation using DUET. Applied and Computational Harmonic Analysis. 35(2). 341–349. 11 indexed citations
8.
Mansour, Hassan & Özgür Yılmaz. (2012). Support driven reweighted &#x2113;<inf>1</inf> minimization. 3309–3312. 8 indexed citations
9.
Powell, Alexander M., Jared Tanner, Yang Wang, & Özgür Yılmaz. (2012). Coarse quantization for random interleaved sampling of bandlimited signals. ESAIM Mathematical Modelling and Numerical Analysis. 46(3). 605–618. 1 indexed citations
10.
Güntürk, C. Si̇nan, et al.. (2012). Sobolev Duals for Random Frames and ΣΔ Quantization of Compressed Sensing Measurements. Foundations of Computational Mathematics. 13(1). 1–36. 29 indexed citations
11.
Saab, Rayan & Özgür Yılmaz. (2009). Sparse recovery by non-convex optimization – instance optimality. Applied and Computational Harmonic Analysis. 29(1). 30–48. 79 indexed citations
12.
Saab, Rayan, et al.. (2008). Bayesian wavefield separation by transform-domain sparsity promotion. Geophysics. 73(5). A33–A38. 30 indexed citations
13.
Saab, Rayan, et al.. (2008). Curvelet-based primary-multiple separation from a Bayesian perspective. Open Collections. 15 indexed citations
14.
Saab, Rayan, Rick Chartrand, & Özgür Yılmaz. (2008). Stable sparse approximations via nonconvex optimization. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 3885–3888. 114 indexed citations
15.
Lammers, Mark, Alexander M. Powell, & Özgür Yılmaz. (2008). Alternative dual frames for digital-to-analog conversion in sigma–delta quantization. Advances in Computational Mathematics. 32(1). 73–102. 19 indexed citations
16.
Saab, Rayan, Özgür Yılmaz, Martin J. McKeown, & Rafeef Abugharbieh. (2006). Blind Separation of Anechoic Under-determined Speech Mixtures using Multiple Sensors. 6. 642–646. 3 indexed citations
17.
Benedetto, John J., Alexander M. Powell, & Özgür Yılmaz. (2005). Second-order Sigma–Delta (ΣΔ) quantization of finite frame expansions. Applied and Computational Harmonic Analysis. 20(1). 126–148. 36 indexed citations
18.
Yılmaz, Özgür. (2003). Coarse quantization of highly redundant time–frequency representations of square-integrable functions. Applied and Computational Harmonic Analysis. 14(2). 107–132. 11 indexed citations
19.
Yılmaz, Özgür. (2002). Stability analysis for several second-order Sigma—Delta methods of coarse quantization of bandlimited functions. Constructive Approximation. 18(4). 599–623. 23 indexed citations
20.
Yılmaz, Özgür. (2001). Mathematical properties of coarse quantization schemes in signal analysis with new applications. UMI eBooks. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026