Beste Üstübioğlu
Impact in
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- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
-
- Digital Media Forensic Detection 33
- Advanced Steganography and Watermarking Techniques 11
- Generative Adversarial Networks and Image Synthesis 4
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- Image Processing Techniques and Applications 15
- Co-authors
- Güzin Ulutaş (35 shared papers)Vasif V. Nabiyev (12 shared papers)Mustafa Ulutaş (12 shared papers)Nicolas Sklavos (1 shared paper)Selen Ayas (1 shared paper)Erdal Kılıç (1 shared paper)
- Journals
- Multimedia Tools and Applications (5 papers)Wireless Personal Communications (2 papers)Future Generation Computer Systems (1 paper)The Imaging Science Journal (1 paper)Journal of Digital Imaging (1 paper)
- Partner nations
- TürkiyeUnited KingdomNorway
In The Last Decade
Beste Üstübioğlu
34 papers receiving 358 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 312
- Media Technology 98
- Signal Processing 84
- Biophysics 34
- Law 22
Countries citing papers authored by Beste Üstübioğlu
This map shows the geographic impact of Beste Üstübioğlu'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 Beste Üstübioğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beste Üstübioğlu more than expected).
Fields of papers citing papers by Beste Üstübioğlu
This network shows the impact of papers produced by Beste Üstübioğlu. 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 Beste Üstübioğlu. The network helps show where Beste Üstübioğlu may publish in the future.
Co-authors
The 6 scholars most cited alongside Beste Üstübioğlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 52 | |
| 2 | 2022 | 35 | |
| 3 | 2017 | 30 | |
| 4 | 2016 | 30 | |
| 5 | 2017 | 27 | |
| 6 | 2017 | 24 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2022 | 13 | |
| 12 | 2024 | 9 | |
| 13 | 2015 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Beste Üstübioğlu
Beste Üstübioğlu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Artificial Intelligence and Biophysics, having authored 35 papers that have together received 371 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (33 papers), Image Processing Techniques and Applications (15 papers), Music and Audio Processing (11 papers), Advanced Steganography and Watermarking Techniques (11 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Speech and Audio Processing (4 papers), Cell Image Analysis Techniques (4 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (312 citations), Media Technology (98 citations), Signal Processing (84 citations), Biophysics (34 citations) and Law (22 citations). Beste Üstübioğlu has collaborated with scholars based in Türkiye, United Kingdom and Norway. Frequent co-authors include Güzin Ulutaş, Vasif V. Nabiyev, Mustafa Ulutaş, Nicolas Sklavos, Selen Ayas and Erdal Kılıç. Their work appears in journals such as Multimedia Tools and Applications, Wireless Personal Communications, Future Generation Computer Systems, The Imaging Science Journal and Journal of Digital Imaging.
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.