Anıl Çelebi
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Media Technology top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Sarp ErtürkOğuzhan UrhanBegüm DemirTuğrul YanıkM. Kemal GüllüIlker HamzaogluAslı Sis ÇelikHyuk‐Jae Lee
- Topics
- Advanced Vision and Imaging (16 papers)Video Coding and Compression Technologies (11 papers)Image and Signal Denoising Methods (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingExpert Systems with Applications
- Partner nations
- TürkiyeSouth Korea
In The Last Decade
Anıl Çelebi
37 papers receiving 355 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 231
- Signal Processing 119
- Media Technology 88
- Artificial Intelligence 51
- Electrical and Electronic Engineering 38
Countries citing papers authored by Anıl Çelebi
This map shows the geographic impact of Anıl Çelebi'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 Anıl Çelebi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anıl Çelebi more than expected).
Fields of papers citing papers by Anıl Çelebi
This network shows the impact of papers produced by Anıl Çelebi. 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 Anıl Çelebi. The network helps show where Anıl Çelebi may publish in the future.
Co-authorship network of co-authors of Anıl Çelebi
This figure shows the co-authorship network connecting the top 25 collaborators of Anıl Çelebi. A scholar is included among the top collaborators of Anıl Çelebi 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 Anıl Çelebi. Anıl Çelebi 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 24 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | EFFICIENT HARDWARE ARCHITECTURE FOR SELECTIVE GRAY CODED BIT PLANE BASED LOW COMPLEXITY MOTION ESTIMATION | 1 |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 10 | |
| 17 | 17 | |
| 18 | 10 | |
| 19 | 21 | |
| 20 | 29 |
About Anıl Çelebi
Anıl Çelebi is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 42 papers that have together received 384 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (16 papers), Video Coding and Compression Technologies (11 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (231 citations), Signal Processing (119 citations) and Media Technology (88 citations). Anıl Çelebi has collaborated with scholars based in Türkiye and South Korea. Frequent co-authors include Sarp Ertürk, Oğuzhan Urhan, Sarp Ertürk, Begüm Demir, Tuğrul Yanık, M. Kemal Güllü, Ilker Hamzaoglu, Aslı Sis Çelik, Hyuk‐Jae Lee and Muhammad Aslam. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.
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.