Okan Köpüklü

734 total citations
13 papers, 326 citations indexed

About

Okan Köpüklü is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Okan Köpüklü has authored 13 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Okan Köpüklü's work include Human Pose and Action Recognition (5 papers), Speech and Audio Processing (4 papers) and Video Surveillance and Tracking Methods (4 papers). Okan Köpüklü is often cited by papers focused on Human Pose and Action Recognition (5 papers), Speech and Audio Processing (4 papers) and Video Surveillance and Tracking Methods (4 papers). Okan Köpüklü collaborates with scholars based in Germany, Türkiye and Finland. Okan Köpüklü's co-authors include Gerhard Rigoll, Neslihan Köse, Maja Taseska, Bedirhan Uzun, Hakan Çevıkalp, Hasan Sarıbaş, Maryam Babaee, M. Strauss and Wolfgang Mack and has published in prestigious journals such as Pattern Recognition, Neurocomputing and IEEE Signal Processing Letters.

In The Last Decade

Okan Köpüklü

12 papers receiving 317 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Okan Köpüklü Germany 6 194 183 88 68 47 13 326
Nam Le Switzerland 4 237 1.2× 182 1.0× 110 1.3× 91 1.3× 42 0.9× 6 360
Bong-Kee Sin South Korea 9 266 1.4× 156 0.9× 73 0.8× 90 1.3× 20 0.4× 28 392
Lionel Pigou Belgium 3 256 1.3× 226 1.2× 133 1.5× 73 1.1× 67 1.4× 3 379
Pradyumna Narayana United States 9 165 0.9× 136 0.7× 60 0.7× 84 1.2× 27 0.6× 18 257
M. Teja Kiran Kumar India 10 226 1.2× 212 1.2× 137 1.6× 50 0.7× 98 2.1× 18 362
Stephan Liwicki United Kingdom 9 264 1.4× 112 0.6× 44 0.5× 58 0.9× 74 1.6× 18 361
Gibran Benítez-García Japan 9 184 0.9× 100 0.5× 40 0.5× 30 0.4× 19 0.4× 33 259
Benjia Zhou Macao 8 172 0.9× 114 0.6× 91 1.0× 37 0.5× 29 0.6× 12 253
Hyun Seung Yang South Korea 7 190 1.0× 186 1.0× 53 0.6× 21 0.3× 29 0.6× 20 287
Jaya Prakash Sahoo India 9 114 0.6× 203 1.1× 89 1.0× 20 0.3× 92 2.0× 16 275

Countries citing papers authored by Okan Köpüklü

Since Specialization
Citations

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

Fields of papers citing papers by Okan Köpüklü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Okan Köpüklü

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

All Works

13 of 13 papers shown
1.
Strauss, M., et al.. (2025). Inference-Adaptive Steering of Neural Networks for Real-Time Area-Based Sound Source Separation. IEEE Signal Processing Letters. 32. 1041–1045.
2.
Strauss, M. & Okan Köpüklü. (2024). Efficient Area-Based and Speaker-Agnostic Source Separation. 185–189. 2 indexed citations
3.
Çevıkalp, Hakan, et al.. (2023). From anomaly detection to open set recognition: Bridging the gap. Pattern Recognition. 138. 109385–109385. 19 indexed citations
4.
Sarıbaş, Hasan, Hakan Çevıkalp, Okan Köpüklü, & Bedirhan Uzun. (2022). TRAT: Tracking by attention using spatio-temporal features. Neurocomputing. 492. 150–161. 17 indexed citations
5.
Köpüklü, Okan & Maja Taseska. (2022). ResectNet: An Efficient Architecture for Voice Activity Detection on Mobile Devices. Interspeech 2022. 5363–5367. 3 indexed citations
6.
Köpüklü, Okan, Maja Taseska, & Gerhard Rigoll. (2021). How to Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1173–1183. 30 indexed citations
7.
Köpüklü, Okan, et al.. (2021). U-Net based Zero-hour Defect Inspection of Electronic Components and Semiconductors. 593–601. 5 indexed citations
8.
Köpüklü, Okan, et al.. (2020). Online Dynamic Hand Gesture Recognition Including Efficiency Analysis. IEEE Transactions on Biometrics Behavior and Identity Science. 2(2). 85–97. 38 indexed citations
9.
Köpüklü, Okan, et al.. (2019). Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks. 1–8. 187 indexed citations
10.
Köpüklü, Okan, et al.. (2019). Convolutional Neural Networks with Layer Reuse. arXiv (Cornell University). 345–349. 3 indexed citations
11.
Babaee, Maryam, et al.. (2019). Gait Energy Image Restoration Using Generative Adversarial Networks. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 17 indexed citations
12.
Babaee, Maryam, et al.. (2019). Outlier-Robust Neural Aggregation Network for Video Face Identification. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 3 indexed citations
13.
Köpüklü, Okan & Gerhard Rigoll. (2018). Analysis on Temporal Dimension of Inputs for 3D Convolutional Neural Networks. abs 1507 2159. 79–84. 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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