Bedirhan Uzun

470 total citations
7 papers, 58 citations indexed

About

Bedirhan Uzun is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Artificial Intelligence. According to data from OpenAlex, Bedirhan Uzun has authored 7 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Safety, Risk, Reliability and Quality and 2 papers in Artificial Intelligence. Recurrent topics in Bedirhan Uzun's work include Video Surveillance and Tracking Methods (3 papers), Fire Detection and Safety Systems (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Bedirhan Uzun is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Fire Detection and Safety Systems (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Bedirhan Uzun collaborates with scholars based in Türkiye, Germany and China. Bedirhan Uzun's co-authors include Hasan Sarıbaş, Hakan Çevıkalp and Okan Köpüklü and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Bedirhan Uzun

6 papers receiving 57 citations

Peers

Bedirhan Uzun
Myunggu Kang South Korea
Ming-Hsuan Yang United States
Dongyoon Wee South Korea
Enyu Zhou United States
Myunggu Kang South Korea
Bedirhan Uzun
Citations per year, relative to Bedirhan Uzun Bedirhan Uzun (= 1×) peers Myunggu Kang

Countries citing papers authored by Bedirhan Uzun

Since Specialization
Citations

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

Fields of papers citing papers by Bedirhan Uzun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bedirhan Uzun

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

All Works

7 of 7 papers shown
1.
Çevıkalp, Hakan, Hasan Sarıbaş, & Bedirhan Uzun. (2024). Reaching Nirvana: Maximizing the Margin in Both Euclidean and Angular Spaces for Deep Neural Network Classification. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8178–8191. 1 indexed citations
2.
Çevıkalp, Hakan, et al.. (2023). From anomaly detection to open set recognition: Bridging the gap. Pattern Recognition. 138. 109385–109385. 19 indexed citations
3.
Sarıbaş, Hasan, Hakan Çevıkalp, Okan Köpüklü, & Bedirhan Uzun. (2022). TRAT: Tracking by attention using spatio-temporal features. Neurocomputing. 492. 150–161. 17 indexed citations
4.
Uzun, Bedirhan, et al.. (2022). Anomaly Detection with Deep Compact Hypersphere. 1–4. 1 indexed citations
5.
Uzun, Bedirhan, Hakan Çevıkalp, & Hasan Sarıbaş. (2022). Deep Discriminative Feature Models (DDFMs) for Set Based Face Recognition and Distance Metric Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1–14. 5 indexed citations
6.
Sarıbaş, Hasan, et al.. (2019). A Hybrid Method for Tracking of Objects by UAVs. 563–572. 15 indexed citations
7.
Uzun, Bedirhan, et al.. (2019). Detection Based Tracking of Unmanned Aerial Vehicles. 1–4.

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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