Çağlar Aytekin
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Civil and Structural Engineering top 10%
- Mechanical Engineering
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Moncef GabboujSerkan KıranyazSedat Dogruİlkay UlusoyFrancesco CricriEmre AksuAlexandros IosifidisThomas Mauthner
- Topics
- Visual Attention and Saliency Detection (8 papers)Advanced Image and Video Retrieval Techniques (6 papers)Image and Signal Denoising Methods (3 papers)
In The Last Decade
Çağlar Aytekin
19 papers receiving 365 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 223
- Artificial Intelligence 76
- Civil and Structural Engineering 72
- Mechanical Engineering 62
- Industrial and Manufacturing Engineering 61
Countries citing papers authored by Çağlar Aytekin
This map shows the geographic impact of Çağlar Aytekin'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 Çağlar Aytekin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Çağlar Aytekin more than expected).
Fields of papers citing papers by Çağlar Aytekin
This network shows the impact of papers produced by Çağlar Aytekin. 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 Çağlar Aytekin. The network helps show where Çağlar Aytekin may publish in the future.
Co-authorship network of co-authors of Çağlar Aytekin
This figure shows the co-authorship network connecting the top 25 collaborators of Çağlar Aytekin. A scholar is included among the top collaborators of Çağlar Aytekin 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 Çağlar Aytekin. Çağlar Aytekin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Compressing Weight-updates for Image Artifacts Removal Neural Networks | 1 |
| 2 | A Compression Objective and a Cycle Loss for Neural Image Compression | 2 |
| 3 | 0 | |
| 4 | Block-optimized Variable Bit Rate Neural Image Compression | 3 |
| 5 | 60 | |
| 6 | 1 | |
| 7 | 21 | |
| 8 | 16 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 11 | |
| 14 | 134 | |
| 15 | 4 | |
| 16 | 27 | |
| 17 | 38 | |
| 18 | 1 | |
| 19 | 40 | |
| 20 | 1 |
About Çağlar Aytekin
Çağlar Aytekin is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Media Technology, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (223 citations), Media Technology (57 citations) and Industrial and Manufacturing Engineering (61 citations). Çağlar Aytekin has collaborated with scholars based in Finland, Qatar and Türkiye. Frequent co-authors include Moncef Gabbouj, Serkan Kıranyaz, Sedat Dogru, İlkay Ulusoy, Francesco Cricri, Emre Aksu, Alexandros Iosifidis, Thomas Mauthner, Horst Possegger and Horst Bischof. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and Pattern Recognition Letters.
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.