Mustafa Ulutaş
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- Güzin UlutaşVasif V. NabiyevBeste Üstübioğluİbrahim HökelekAhmet H. ErtasOkan ÖzgönenelErdal Kılıç
- Topics
- Advanced Steganography and Watermarking Techniques (35 papers)Digital Media Forensic Detection (24 papers)Chaos-based Image/Signal Encryption (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaPattern Recognition LettersJournal of Systems and Software
- Partner nations
- Türkiye
In The Last Decade
Mustafa Ulutaş
59 papers receiving 529 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 435
- Artificial Intelligence 112
- Media Technology 95
- Electrical and Electronic Engineering 50
- Computer Networks and Communications 47
Countries citing papers authored by Mustafa Ulutaş
This map shows the geographic impact of Mustafa Ulutaş'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 Mustafa Ulutaş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mustafa Ulutaş more than expected).
Fields of papers citing papers by Mustafa Ulutaş
This network shows the impact of papers produced by Mustafa Ulutaş. 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 Mustafa Ulutaş. The network helps show where Mustafa Ulutaş may publish in the future.
Co-authorship network of co-authors of Mustafa Ulutaş
This figure shows the co-authorship network connecting the top 25 collaborators of Mustafa Ulutaş. A scholar is included among the top collaborators of Mustafa Ulutaş 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 Mustafa Ulutaş. Mustafa Ulutaş is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | Video forgery detection method based on local difference binary | 3 |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 35 | |
| 8 | 24 | |
| 9 | 30 | |
| 10 | 5 | |
| 11 | Detection of duplicated regions in images using 1D-Fourier transform | 2 |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 9 |
About Mustafa Ulutaş
Mustafa Ulutaş is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 62 papers that have together received 565 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (35 papers), Digital Media Forensic Detection (24 papers) and Chaos-based Image/Signal Encryption (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (435 citations), Media Technology (95 citations) and Biophysics (31 citations). Mustafa Ulutaş has collaborated with scholars based in Türkiye. Frequent co-authors include Güzin Ulutaş, Vasif V. Nabiyev, Beste Üstübioğlu, İbrahim Hökelek, Ahmet H. Ertas, Okan Özgönenel and Erdal Kılıç. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition Letters and Journal of Systems and Software.
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.