Vasif V. Nabiyev
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Signal Processing top 10%
- Control and Systems Engineering
- Co-authors
- Güzin UlutaşMustafa UlutaşBeste ÜstübioğluKemal TurhanHasan KaralAyça ÇebiSelahattin ArslanCemal Köse
- Topics
- Advanced Steganography and Watermarking Techniques (25 papers)Chaos-based Image/Signal Encryption (16 papers)Digital Media Forensic Detection (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessComputers & Operations Research
In The Last Decade
Vasif V. Nabiyev
69 papers receiving 690 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 527
- Artificial Intelligence 189
- Media Technology 81
- Signal Processing 79
- Control and Systems Engineering 50
Countries citing papers authored by Vasif V. Nabiyev
This map shows the geographic impact of Vasif V. Nabiyev'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 Vasif V. Nabiyev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasif V. Nabiyev more than expected).
Fields of papers citing papers by Vasif V. Nabiyev
This network shows the impact of papers produced by Vasif V. Nabiyev. 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 Vasif V. Nabiyev. The network helps show where Vasif V. Nabiyev may publish in the future.
Co-authorship network of co-authors of Vasif V. Nabiyev
This figure shows the co-authorship network connecting the top 25 collaborators of Vasif V. Nabiyev. A scholar is included among the top collaborators of Vasif V. Nabiyev 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 Vasif V. Nabiyev. Vasif V. Nabiyev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | Trajectory Planning for Point-to-Point Motion Using High-order Polynomials | 1 |
| 8 | AN AUTOMATED COMPUTER-AIDED DETECTION (CADe) AND DIAGNOSIS (CADx) SYSTEM FOR BREAST MICROCALCIFICATIONS IN MAMMOGRAMS | 0 |
| 9 | Linear Quadratic Differential Game Formulation for Leaderless Formation Control | 4 |
| 10 | 9 | |
| 11 | 24 | |
| 12 | 17 | |
| 13 | 15 | |
| 14 | 30 | |
| 15 | 0 | |
| 16 | 30 | |
| 17 | 14 | |
| 18 | 17 | |
| 19 | 1 | |
| 20 | 0 |
About Vasif V. Nabiyev
Vasif V. Nabiyev is a scholar working on Computer Vision and Pattern Recognition, Space and Planetary Science and Media Technology, having authored 83 papers that have together received 732 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (25 papers), Chaos-based Image/Signal Encryption (16 papers) and Digital Media Forensic Detection (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (527 citations), Media Technology (81 citations) and Signal Processing (79 citations). Vasif V. Nabiyev has collaborated with scholars based in Türkiye, Iran and Moldova. Frequent co-authors include Güzin Ulutaş, Mustafa Ulutaş, Beste Üstübioğlu, Kemal Turhan, Hasan Karal, Ayça Çebi, Selahattin Arslan, Cemal Köse, İsmail Çetin and Ünal Çakıroğlu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers & Operations Research.
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.