Sos С. Agaian
- Computer Vision and Pattern Recognition top 0.05%
- Image Enhancement Techniques 127
- Image and Signal Denoising Methods 121
- Chaos-based Image/Signal Encryption 68
- Advanced Image Processing Techniques 66
- Advanced Steganography and Watermarking Techniques 62
- Digital Media Forensic Detection 36
- Medical Image Segmentation Techniques 35
- Media Technology top 0.1%
- Advanced Image Fusion Techniques 72
- Signal Processing top 1%
- Artificial Intelligence top 0.5%
- Mathematical Physics top 2%
- Co-authors
- Karen PanettaChen GaoYicong ZhouArtyom M. GrigoryanJoseph P. NoonanYue WuE. J. WhartonPrem Natarajan
- Journals
- SHILAP Revista de lepidopterología (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- United StatesRussiaArmenia
In The Last Decade
Sos С. Agaian
485 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Computer Vision and Pattern Recognition 7.0k
- Media Technology 2.0k
- Signal Processing 544
- Artificial Intelligence 1.6k
- Mathematical Physics 359
Countries citing papers authored by Sos С. Agaian
This map shows the geographic impact of Sos С. Agaian'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 Sos С. Agaian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sos С. Agaian more than expected).
Fields of papers citing papers by Sos С. Agaian
This network shows the impact of papers produced by Sos С. Agaian. 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 Sos С. Agaian. The network helps show where Sos С. Agaian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sos С. Agaian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 3 | |
| 11 | 2021 | 1 | |
| 12 | 2019 | 6 | |
| 13 | 2018 | 35 | |
| 14 | 2018 | 114 | |
| 15 | 2018 | 27 | |
| 16 | 2014 | 0 | |
| 17 | 2014 | 42 | |
| 18 | Mobile Multimedia/Image Processing for Military and Security Applications | 2006 | 3 |
| 19 | Binary polynomial transforms and nonlinear digital filters | 1995 | 97 |
| 20 | On the relationship between compression coefficient, precision of reconstruction and complexity of calculations | 1991 | 1 |
About Sos С. Agaian
Sos С. Agaian is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 529 papers that have together received 9.0k indexed citations. Recurring topics across this work include Image Enhancement Techniques (127 papers), Image and Signal Denoising Methods (121 papers), Advanced Image Fusion Techniques (72 papers), Chaos-based Image/Signal Encryption (68 papers), Advanced Image Processing Techniques (66 papers), Advanced Steganography and Watermarking Techniques (62 papers), Digital Media Forensic Detection (36 papers) and Medical Image Segmentation Techniques (35 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.0k citations), Media Technology (2.0k citations) and Signal Processing (544 citations). Sos С. Agaian has collaborated with scholars based in United States, Russia and Armenia. Frequent co-authors include Karen Panetta, Chen Gao, Yicong Zhou, Artyom M. Grigoryan, Joseph P. Noonan, Yue Wu, E. J. Wharton, Prem Natarajan, Anthony T. Chronopoulos and Jaakko Astola. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.
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.