Sedat Özer

715 total citations
31 papers, 482 citations indexed

About

Sedat Özer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Sedat Özer has authored 31 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 10 papers in Aerospace Engineering. Recurrent topics in Sedat Özer's work include Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Video Surveillance and Tracking Methods (5 papers). Sedat Özer is often cited by papers focused on Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Video Surveillance and Tracking Methods (5 papers). Sedat Özer collaborates with scholars based in Türkiye, United States and Netherlands. Sedat Özer's co-authors include Hakan Ali Çırpan, Rodolfo Valiente, Yaser P. Fallah, Andrew Evans, İmam Şamil Yetik, Miles N. Wernick, Deanna L. Langer, Theodorus van der Kwast, Xin Liu and Yongyi Yang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Sedat Özer

27 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sedat Özer Türkiye 12 264 107 81 73 67 31 482
Guofeng Tong China 12 176 0.7× 74 0.7× 86 1.1× 63 0.9× 41 0.6× 45 458
A. V. Narasimhadhan India 11 159 0.6× 60 0.6× 35 0.4× 54 0.7× 32 0.5× 60 433
Mohammad Javad Shafiee Canada 14 291 1.1× 122 1.1× 34 0.4× 147 2.0× 63 0.9× 56 579
Ruwan Tennakoon Australia 15 232 0.9× 152 1.4× 84 1.0× 104 1.4× 11 0.2× 51 488
Andrei C. Jalba Netherlands 15 440 1.7× 60 0.6× 44 0.5× 77 1.1× 13 0.2× 44 755
Itsuo Kumazawa Japan 10 206 0.8× 106 1.0× 32 0.4× 82 1.1× 75 1.1× 101 512
Mohamed El Ansari Morocco 19 553 2.1× 193 1.8× 84 1.0× 182 2.5× 84 1.3× 90 1.0k
Bart Goossens Belgium 12 330 1.3× 66 0.6× 32 0.4× 99 1.4× 46 0.7× 50 507
Liang Wu China 10 114 0.4× 45 0.4× 68 0.8× 44 0.6× 11 0.2× 36 371

Countries citing papers authored by Sedat Özer

Since Specialization
Citations

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

Fields of papers citing papers by Sedat Özer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sedat Özer

This figure shows the co-authorship network connecting the top 25 collaborators of Sedat Özer. A scholar is included among the top collaborators of Sedat Özer 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 Sedat Özer. Sedat Özer 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
3.
Özer, Sedat, et al.. (2023). Offloading Deep Learning Powered Vision Tasks From UAV to 5G Edge Server With Denoising. IEEE Transactions on Vehicular Technology. 72(6). 8035–8048. 16 indexed citations
4.
Özer, Sedat, et al.. (2022). SiameseFuse: A computationally efficient and a not-so-deep network to fuse visible and infrared images. Pattern Recognition. 129. 108712–108712. 13 indexed citations
5.
Özer, Sedat, et al.. (2022). YOLODrone+: Improved YOLO Architecture for Object Detection in UAV Images. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 1–4. 4 indexed citations
6.
Özer, Sedat, et al.. (2022). InfraGAN: A GAN architecture to transfer visible images to infrared domain. Pattern Recognition Letters. 155. 69–76. 53 indexed citations
7.
Özer, Sedat, et al.. (2021). Deep receiver design for multi-carrier waveforms using CNNs. Bilkent University Institutional Repository (Bilkent University). 4 indexed citations
8.
Özer, Sedat, et al.. (2021). YOLODrone: Improved YOLO Architecture for Object Detection in Drone Images. Bilkent University Institutional Repository (Bilkent University). 361–365. 39 indexed citations
9.
Özer, Sedat, et al.. (2021). Offloading Deep Learning Empowered Image Segmentation from UAV to Edge Server. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 296–300. 6 indexed citations
10.
Özer, Sedat, et al.. (2021). Simultaneous Prediction of Remaining-Useful-Life and Failure-Likelihood with GRU-based Deep Networks for Predictive Maintenance Analysis. Bilkent University Institutional Repository (Bilkent University). 301–304. 5 indexed citations
11.
Özer, Sedat, et al.. (2020). Evaluation of compression-recovery and thermal characteristics of multilayer bedding textiles. International Journal of Clothing Science and Technology. 32(5). 631–643. 3 indexed citations
12.
Özer, Sedat. (2020). Feature Matching with Similarity Domains Network. 1–4. 1 indexed citations
13.
Feldman, Dan, Sedat Özer, & Daniela Rus. (2017). Coresets for Vector Summarization with Applications to Network Graphs. International Conference on Machine Learning. 1117–1125. 1 indexed citations
14.
Bemis, K. G., Deborah Silver, Guangyu Xu, et al.. (2015). The path to COVIS: A review of acoustic imaging of hydrothermal flow regimes. Deep Sea Research Part II Topical Studies in Oceanography. 121. 159–176. 11 indexed citations
15.
Özer, Sedat, et al.. (2014). Image classification by multi-kernel dictionary learning. 2014 48th Asilomar Conference on Signals, Systems and Computers. 73–77. 3 indexed citations
16.
Özer, Sedat, Deborah Silver, K. G. Bemis, & Pino Martin. (2013). Activity Detection in Scientific Visualization. IEEE Transactions on Visualization and Computer Graphics. 20(3). 377–390. 21 indexed citations
17.
Liu, Li, et al.. (2013). An interactive method for activity detection visualization. View. 129–130. 2 indexed citations
18.
Özer, Sedat, et al.. (2011). Activity Detection for scientific visualization. View. 117–118. 5 indexed citations
19.
Özer, Sedat, Deanna L. Langer, Xin Liu, et al.. (2010). Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI. Medical Physics. 37(4). 1873–1883. 92 indexed citations
20.
Özer, Sedat, et al.. (2006). Support Vector Machines Based Target Tracking Techniques. 19. 1–4. 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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