Atalay Barkana

1.1k total citations
33 papers, 799 citations indexed

About

Atalay Barkana is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Atalay Barkana has authored 33 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Atalay Barkana's work include Face and Expression Recognition (19 papers), Image Retrieval and Classification Techniques (9 papers) and Neural Networks and Applications (8 papers). Atalay Barkana is often cited by papers focused on Face and Expression Recognition (19 papers), Image Retrieval and Classification Techniques (9 papers) and Neural Networks and Applications (8 papers). Atalay Barkana collaborates with scholars based in Türkiye and United States. Atalay Barkana's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

In The Last Decade

Atalay Barkana

30 papers receiving 747 citations

Peers

Atalay Barkana

CVPR

CSE

Kwang In Kim South Korea

Sung Yang Bang South Korea

S.Z. Li Singapore

Zhengguang Xu China

Amrane Houacine Algeria

Supavadee Aramvith Thailand

Zhenjiang Miao China

Hao Zheng China

Shuangyan Yi China

Kwang In Kim South Korea

Atalay Barkana

909 ×1.7

CVPR

168 ×0.9

208 ×1.1

195 ×1.7

160 ×2.2

CSE

Citations per year, relative to Atalay Barkana Atalay Barkana (= 1×) peers Kwang In Kim

Countries citing papers authored by Atalay Barkana

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Gerek, Ömer Nezih, M. Bilginer Gülmezoğlu, Semih Ergi̇n, et al.. (2024). Are deep learning classification results obtained on CT scans fair and interpretable?. Physical and Engineering Sciences in Medicine. 47(3). 967–979. 1 indexed citations

Ergi̇n, Semih, et al.. (2024). Indifference subspace of deep features for lung nodule classification from CT images. Expert Systems with Applications. 262. 125571–125571. 1 indexed citations

Edizkan, Rifat, Atalay Barkana, M. Bilginer Gülmezoğlu, et al.. (2023). Neural network representations for the inter- and intra-class common vector classifiers. Digital Signal Processing. 142. 104205–104205. 1 indexed citations

Ergi̇n, Semih, et al.. (2020). Use of gradient and normal vectors for face recognition. IET Image Processing. 14(10). 2121–2129. 2 indexed citations

Gülmezoğlu, M. Bilginer, et al.. (2020). Two Pseudo-Common Vectors for Pattern Recognition. Arabian Journal for Science and Engineering. 45(12). 10621–10635. 1 indexed citations

Barkana, Atalay, et al.. (2016). A Novel Implementation Algorithm for Calculation of Common Vectors. SHILAP Revista de lepidopterología. 17(2). 2 indexed citations

Barkana, Atalay, et al.. (2014). Discriminative common vector approach based feature selection in face recognition. Computers & Electrical Engineering. 40(8). 37–50. 7 indexed citations

Barkana, Atalay, et al.. (2011). A new solution to one sample problem in face recognition using FLDA. Applied Mathematics and Computation. 217(24). 10368–10376. 37 indexed citations

Barkana, Atalay, et al.. (2009). A fast method for the Common Vector Approach. 440–443. 1 indexed citations

10.

Çevıkalp, Hakan, et al.. (2008). Two-dimensional subspace classifiers for face recognition. Neurocomputing. 72(4-6). 1111–1120. 7 indexed citations

11.

Çevıkalp, Hakan, Marian Neamtu, & Atalay Barkana. (2007). The Kernel Common Vector Method: A Novel Nonlinear Subspace Classifier for Pattern Recognition. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 37(4). 937–951. 19 indexed citations

12.

Çevıkalp, Hakan, et al.. (2006). Two-dimensional CLAFIC Methods for Image Recognition. 1–4. 1 indexed citations

13.

Gülmezoğlu, M. Bilginer, Rifat Edizkan, Semih Ergi̇n, & Atalay Barkana. (2006). Improvements on isolated word recognition using FLDA. 16. 703–706.

14.

Gerek, Ömer Nezih, D.G. Ece, & Atalay Barkana. (2006). Covariance Analysis of Voltage Waveform Signature for Power-Quality Event Classification. IEEE Transactions on Power Delivery. 21(4). 2022–2031. 26 indexed citations

15.

Edizkan, Rifat, M. Bilginer Gülmezoğlu, Semih Ergi̇n, & Atalay Barkana. (2005). Improvements on common vector approach for multi class problems. European Signal Processing Conference. 1–4. 4 indexed citations

16.

Çevıkalp, Hakan, Buket D. Barkana, & Atalay Barkana. (2005). A comparison of the Common Vector and the discriminative Common Vector methods for face recognition. 8 indexed citations

17.

Çevıkalp, Hakan, Marian Neamtu, Mitch Wilkes, & Atalay Barkana. (2004). Discriminative common vectors for face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(1). 4–13. 350 indexed citations

18.

Gülmezoğlu, M. Bilginer, et al.. (2001). The common vector approach and its relation to principal component analysis. IEEE Transactions on Speech and Audio Processing. 9(6). 655–662. 94 indexed citations

19.

Barkana, Atalay, et al.. (1976). Picture Generation from a Light-Emitting Diode Array with an Arbitrary Irradiance Distribution. IEEE Transactions on Industrial Electronics and Control Instrumentation. IECI-23(4). 444–448.

20.

Barkana, Atalay, et al.. (1976). An Aircraft Noise Pollution Model for Tra jectory Optimization. IEEE Transactions on Aerospace and Electronic Systems. AES-12(2). 109–116. 2 indexed citations

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.

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