İlker Bayram
Impact in
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- Image and Signal Denoising Methods
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in
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- Digital Filter Design and Implementation 10
- Speech and Audio Processing 8
- Blind Source Separation Techniques 4
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- Image and Signal Denoising Methods 28
- Co-authors
- Ivan SelesnickMustafa E. KamaşakAnkit ParekhF. Işık KarahanoğluDimitri Van De VilleBogdan DumitrescuPo-Yu ChenBirsen Yazıcı
- Journals
- IEEE Transactions on Signal Processing (13 papers)IEEE Signal Processing Letters (7 papers)Pattern Recognition Letters (1 paper)Applied and Computational Harmonic Analysis (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)
- Partner nations
- TürkiyeUnited StatesSwitzerland
In The Last Decade
İlker Bayram
32 papers receiving 938 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 454
- Signal Processing 228
- Computational Mechanics 323
- Media Technology 91
- Computational Mathematics 6
Countries citing papers authored by İlker Bayram
This map shows the geographic impact of İlker Bayram'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 İlker Bayram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İlker Bayram more than expected).
Fields of papers citing papers by İlker Bayram
This network shows the impact of papers produced by İlker Bayram. 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 İlker Bayram. The network helps show where İlker Bayram may publish in the future.
Co-authors
The 9 scholars most cited alongside İlker Bayram, 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 | 2024 | 1 | |
| 2 | 2022 | 0 | |
| 3 | 2019 | 0 | |
| 4 | 2017 | 3 | |
| 5 | 2016 | 2 | |
| 6 | 2015 | 2 | |
| 7 | 2014 | 2 | |
| 8 | 2014 | 1 | |
| 9 | 2014 | 136 | |
| 10 | 2013 | 11 | |
| 11 | 2013 | 1 | |
| 12 | 2013 | 12 | |
| 13 | 2012 | 0 | |
| 14 | 2011 | 20 | |
| 15 | 2009 | 2 | |
| 16 | 2009 | 12 | |
| 17 | 2009 | 29 | |
| 18 | 2009 | 120 | |
| 19 | 2008 | 18 | |
| 20 | 2006 | 7 |
About İlker Bayram
İlker Bayram is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Applied Mathematics and Mathematical Physics, having authored 39 papers that have together received 986 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (28 papers), Sparse and Compressive Sensing Techniques (15 papers), Digital Filter Design and Implementation (10 papers), Speech and Audio Processing (8 papers), Advanced Adaptive Filtering Techniques (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Mathematical Analysis and Transform Methods (5 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (454 citations), Signal Processing (228 citations), Computational Mechanics (323 citations), Media Technology (91 citations) and Computational Mathematics (6 citations). İlker Bayram has collaborated with scholars based in Türkiye, United States and Switzerland. Frequent co-authors include Ivan Selesnick, Mustafa E. Kamaşak, Ankit Parekh, F. Işık Karahanoğlu, Dimitri Van De Ville, Bogdan Dumitrescu, Po-Yu Chen, Birsen Yazıcı and Huseyin C. Yalcin. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, Pattern Recognition Letters, Applied and Computational Harmonic Analysis and IEEE/ACM Transactions on Audio Speech and Language 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.