Olcay Akay

464 total citations
27 papers, 335 citations indexed

About

Olcay Akay is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Applied Mathematics. According to data from OpenAlex, Olcay Akay has authored 27 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 11 papers in Applied Mathematics. Recurrent topics in Olcay Akay's work include Image and Signal Denoising Methods (11 papers), Mathematical Analysis and Transform Methods (11 papers) and Digital Filter Design and Implementation (9 papers). Olcay Akay is often cited by papers focused on Image and Signal Denoising Methods (11 papers), Mathematical Analysis and Transform Methods (11 papers) and Digital Filter Design and Implementation (9 papers). Olcay Akay collaborates with scholars based in Türkiye and United States. Olcay Akay's co-authors include G.F. Boudreaux-Bartels, M. Alper Selver, Gürkan Özden and A. B. Yavuz and has published in prestigious journals such as IEEE Transactions on Signal Processing, Expert Systems with Applications and Journal of the Franklin Institute.

In The Last Decade

Olcay Akay

25 papers receiving 316 citations

Peers

Olcay Akay
Izidor Gertner United States
X.-G. Xia United States
R.H. Bamberger United States
Karthik Mohan United States
Izidor Gertner United States
Olcay Akay
Citations per year, relative to Olcay Akay Olcay Akay (= 1×) peers Izidor Gertner

Countries citing papers authored by Olcay Akay

Since Specialization
Citations

This map shows the geographic impact of Olcay Akay'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 Olcay Akay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olcay Akay more than expected).

Fields of papers citing papers by Olcay Akay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olcay Akay. 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 Olcay Akay. The network helps show where Olcay Akay may publish in the future.

Co-authorship network of co-authors of Olcay Akay

This figure shows the co-authorship network connecting the top 25 collaborators of Olcay Akay. A scholar is included among the top collaborators of Olcay Akay 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 Olcay Akay. Olcay Akay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Akay, Olcay, et al.. (2020). Designing radar transmit sequences satisfying simultaneous temporal integrated sidelobe level and spectral stopband constraints. Digital Signal Processing. 107. 102867–102867. 3 indexed citations
3.
Akay, Olcay, et al.. (2018). Frequency domain sequence design algorithm minimising weighted integrated sidelobe level. IET Radar Sonar & Navigation. 13(3). 464–472. 3 indexed citations
5.
Akay, Olcay, et al.. (2017). Design of sequences with low autocorrelation sidelobes using genetic algorithms. International Conference on Electrical and Electronics Engineering. 3 indexed citations
6.
Akay, Olcay, et al.. (2011). A new method of wavelet domain watermark embedding and extraction using Fractional Fourier Transform. International Conference on Electrical and Electronics Engineering. 4 indexed citations
7.
Selver, M. Alper, et al.. (2010). An automated industrial conveyor belt system using image processing and hierarchical clustering for classifying marble slabs. Robotics and Computer-Integrated Manufacturing. 27(1). 164–176. 38 indexed citations
8.
Selver, M. Alper & Olcay Akay. (2009). Evaluating clustering methods for classification of marble slabs in an automated industrial marble inspection system. International Conference on Electrical and Electronics Engineering. 3 indexed citations
9.
Akay, Olcay, et al.. (2009). Employing fractional autocorrelation for fast detection and sweep rate estimation of pulse compression radar waveforms. Signal Processing. 89(12). 2479–2489. 16 indexed citations
10.
Selver, M. Alper, et al.. (2009). Cascaded and Hierarchical Neural Networks for Classifying Surface Images of Marble Slabs. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 39(4). 426–439. 24 indexed citations
12.
Selver, M. Alper, et al.. (2007). Feature Extraction for Quantitative Classification of Marbles. 1–4. 1 indexed citations
13.
Akay, Olcay, et al.. (2007). Noise Reduction in Chaotic Signals by Using Wiener and Kalman Filtering Methods. 2. 1–4. 1 indexed citations
15.
16.
Akay, Olcay. (2003). Linear fractional shift invariant (LFSI) systems. 585–588 vol.1. 4 indexed citations
17.
Akay, Olcay & G.F. Boudreaux-Bartels. (2002). Linear fractionally invariant systems: fractional filtering and correlation via fractional operators. 2. 1494–1498. 1 indexed citations
18.
Akay, Olcay & G.F. Boudreaux-Bartels. (2002). Joint fractional representations. 417–420. 4 indexed citations
19.
Akay, Olcay & G.F. Boudreaux-Bartels. (2001). Fractional convolution and correlation via operator methods and an application to detection of linear FM signals. IEEE Transactions on Signal Processing. 49(5). 979–993. 129 indexed citations
20.
Akay, Olcay & G.F. Boudreaux-Bartels. (2000). Joint fractional signal representations. Journal of the Franklin Institute. 337(4). 365–378. 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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