Atalay Barkana
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Hakan ÇevıkalpMarian NeamtuMitch WilkesM. Bilginer GülmezoğluBayram ÇetişliÖmer Nezih GerekD.G. EceRifat Edizkan
- Topics
- Face and Expression Recognition (19 papers)Image Retrieval and Classification Techniques (9 papers)Neural Networks and Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with Applications
- Partner nations
- TürkiyeUnited States
In The Last Decade
Atalay Barkana
30 papers receiving 747 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 546
- Signal Processing 193
- Artificial Intelligence 183
- Media Technology 115
- Control and Systems Engineering 72
Countries citing papers authored by Atalay Barkana
This map shows the geographic impact of Atalay Barkana'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 Atalay Barkana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atalay Barkana more than expected).
Fields of papers citing papers by Atalay Barkana
This network shows the impact of papers produced by Atalay Barkana. 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 Atalay Barkana. The network helps show where Atalay Barkana may publish in the future.
Co-authorship network of co-authors of Atalay Barkana
This figure shows the co-authorship network connecting the top 25 collaborators of Atalay Barkana. A scholar is included among the top collaborators of Atalay Barkana 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 Atalay Barkana. Atalay Barkana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 37 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 19 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 26 | |
| 15 | Improvements on common vector approach for multi class problems | 4 |
| 16 | A comparison of the Common Vector and the discriminative Common Vector methods for face recognition | 8 |
| 17 | 350 | |
| 18 | 94 | |
| 19 | 0 | |
| 20 | 2 |
About Atalay Barkana
Atalay Barkana is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 33 papers that have together received 799 indexed citations. Recurring topics across this work include Face and Expression Recognition (19 papers), Image Retrieval and Classification Techniques (9 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (546 citations), Signal Processing (193 citations) and Media Technology (115 citations). Atalay Barkana has collaborated with scholars based in Türkiye and United States. Frequent co-authors include Hakan Çevıkalp, Marian Neamtu, Mitch Wilkes, M. Bilginer Gülmezoğlu, Bayram Çetişli, Ömer Nezih Gerek, D.G. Ece, Rifat Edizkan, Semih Ergi̇n and Buket D. Barkana. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.