Çağdaş Bilen
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Computer Networks and Communications
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Anil AksayGözde Bozdağı AkarGilles PuyRémi GribonvalLaurent DaudetM. Reha CivanlarA. Murat TekalpEngin Kurutepe
- Topics
- Video Coding and Compression Technologies (10 papers)Image and Video Quality Assessment (6 papers)Sparse and Compressive Sensing Techniques (4 papers)
- Journals
- IEEE Transactions on Signal ProcessingSignal Processing Image CommunicationIEEE Journal on Emerging and Selected Topics in Circuits and Systems
- Partner nations
- TürkiyeUnited StatesFrance
In The Last Decade
Çağdaş Bilen
18 papers receiving 240 citations
Peers
Comparison fields: 5 of 35
- Signal Processing 145
- Computer Vision and Pattern Recognition 141
- Computational Mechanics 58
- Computer Networks and Communications 39
- Radiology, Nuclear Medicine and Imaging 35
Countries citing papers authored by Çağdaş Bilen
This map shows the geographic impact of Çağdaş Bilen'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 Çağdaş Bilen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Çağdaş Bilen more than expected).
Fields of papers citing papers by Çağdaş Bilen
This network shows the impact of papers produced by Çağdaş Bilen. 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 Çağdaş Bilen. The network helps show where Çağdaş Bilen may publish in the future.
Co-authorship network of co-authors of Çağdaş Bilen
This figure shows the co-authorship network connecting the top 25 collaborators of Çağdaş Bilen. A scholar is included among the top collaborators of Çağdaş Bilen 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 Çağdaş Bilen. Çağdaş Bilen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 56 | |
| 5 | 18 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 23 | |
| 11 | 15 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 24 | |
| 17 | 37 | |
| 18 | 5 | |
| 19 | 4 |
About Çağdaş Bilen
Çağdaş Bilen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 19 papers that have together received 249 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (10 papers), Image and Video Quality Assessment (6 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Signal Processing (145 citations), Computer Vision and Pattern Recognition (141 citations) and Computational Mathematics (2 citations). Çağdaş Bilen has collaborated with scholars based in Türkiye, United States and France. Frequent co-authors include Anil Aksay, Gözde Bozdağı Akar, Gilles Puy, Rémi Gribonval, Laurent Daudet, M. Reha Civanlar, A. Murat Tekalp, Engin Kurutepe, Ivan Selesnick and Yao Wang. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing Image Communication and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
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.