A. Enis Çetin
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 1%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Co-authors
- Ömer Nezih GerekYasemin YardımcıRashid AnsariEngin ErzinFatih ErdenBehçet Uğur TöreyınOrhan ArıkanKıvanç Köse
- Topics
- Image and Signal Denoising Methods (56 papers)Advanced Data Compression Techniques (31 papers)Digital Filter Design and Implementation (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- TürkiyeUnited StatesCanada
In The Last Decade
A. Enis Çetin
153 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 137
- Computer Vision and Pattern Recognition 1.3k
- Signal Processing 665
- Biomedical Engineering 429
- Artificial Intelligence 327
- Computational Mechanics 300
Countries citing papers authored by A. Enis Çetin
This map shows the geographic impact of A. Enis Çetin'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 A. Enis Çetin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Enis Çetin more than expected).
Fields of papers citing papers by A. Enis Çetin
This network shows the impact of papers produced by A. Enis Çetin. 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 A. Enis Çetin. The network helps show where A. Enis Çetin may publish in the future.
Co-authorship network of co-authors of A. Enis Çetin
This figure shows the co-authorship network connecting the top 25 collaborators of A. Enis Çetin. A scholar is included among the top collaborators of A. Enis Çetin 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 A. Enis Çetin. A. Enis Çetin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 18 | |
| 6 | İnsan hareketlerinin vibrasyon ve PIR algılayıcıları kullanılarak sınıflandırılması | 4 |
| 7 | 1 | |
| 8 | Microscopic image classification using sparsity in a transform domain and Bayesian learning | 2 |
| 9 | 16 | |
| 10 | PIR sensörleriyle alev tespiti | 3 |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 119 | |
| 14 | 12 | |
| 15 | 80 | |
| 16 | 28 | |
| 17 | 91 | |
| 18 | Subband decomposition based image compression algorithms with nonlinear adaptive filter banks. | 4 |
| 19 | Design of Gaussian mixture models using matching pursuit. | 2 |
| 20 | 1 |
About A. Enis Çetin
A. Enis Çetin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 162 papers that have together received 2.4k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (56 papers), Advanced Data Compression Techniques (31 papers) and Digital Filter Design and Implementation (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Signal Processing (665 citations) and Media Technology (254 citations). A. Enis Çetin has collaborated with scholars based in Türkiye, United States and Canada. Frequent co-authors include Ömer Nezih Gerek, Yasemin Yardımcı, Rashid Ansari, Engin Erzin, Fatih Erden, Behçet Uğur Töreyın, Orhan Arıkan, Kıvanç Köse, F. Jabloun and Yiğithan Dedeoğlu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.