S. Derin Babacan
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 1%
- Biomedical Engineering top 5%
- Media Technology top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Aggelos K. KatsaggelosRafael MolinaGabriel PopescuN. MinhMustafa MirShinichi NakajimaLynford L. GoddardTaewoo Kim
- Topics
- Sparse and Compressive Sensing Techniques (25 papers)Image and Signal Denoising Methods (18 papers)Advanced Image Processing Techniques (17 papers)
- Journals
- PLoS ONENeuroImageNature Photonics
- Partner nations
- United StatesSpainJapan
In The Last Decade
S. Derin Babacan
54 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 1.0k
- Computational Mechanics 692
- Biomedical Engineering 524
- Media Technology 428
- Atomic and Molecular Physics, and Optics 331
Countries citing papers authored by S. Derin Babacan
This map shows the geographic impact of S. Derin Babacan'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 S. Derin Babacan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Derin Babacan more than expected).
Fields of papers citing papers by S. Derin Babacan
This network shows the impact of papers produced by S. Derin Babacan. 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 S. Derin Babacan. The network helps show where S. Derin Babacan may publish in the future.
Co-authorship network of co-authors of S. Derin Babacan
This figure shows the co-authorship network connecting the top 25 collaborators of S. Derin Babacan. A scholar is included among the top collaborators of S. Derin Babacan 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 S. Derin Babacan. S. Derin Babacan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering | 4 |
| 4 | 60 | |
| 5 | Probabilistic Low-Rank Subspace Clustering | 14 |
| 6 | Sparse Additive Matrix Factorization for Robust PCA and Its Generalization | 2 |
| 7 | 30 | |
| 8 | Perfect Dimensionality Recovery by Variational Bayesian PCA | 13 |
| 9 | 79 | |
| 10 | 8 | |
| 11 | Space-variant kernel deconvolution for dual exposure problem | 2 |
| 12 | Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent | 4 |
| 13 | 31 | |
| 14 | 15 | |
| 15 | 173 | |
| 16 | 6 | |
| 17 | 27 | |
| 18 | Bayesian Compressive Sensing Using Laplace Priorsbreakdown → | 579 |
| 19 | 135 | |
| 20 | 153 |
About S. Derin Babacan
S. Derin Babacan is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (25 papers), Image and Signal Denoising Methods (18 papers) and Advanced Image Processing Techniques (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (428 citations) and Acoustics and Ultrasonics (32 citations). S. Derin Babacan has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Aggelos K. Katsaggelos, Rafael Molina, Gabriel Popescu, N. Minh, Mustafa Mir, Shinichi Nakajima, Lynford L. Goddard, Taewoo Kim, Renjie Zhou and P. Scott Carney. Their work appears in journals such as PLoS ONE, NeuroImage and Nature Photonics.
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.