Sos С. Agaian
- Computer Vision and Pattern Recognition top 0.05%
- Media Technology top 0.1%
- Artificial Intelligence top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Karen PanettaChen GaoYicong ZhouArtyom M. GrigoryanJoseph P. NoonanYue WuE. J. WhartonPrem Natarajan
- Topics
- Image Enhancement Techniques (127 papers)Image and Signal Denoising Methods (121 papers)Advanced Image Fusion Techniques (72 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote Sensing
- 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
- Artificial Intelligence 1.6k
- Radiology, Nuclear Medicine and Imaging 619
- Computational Theory and Mathematics 574
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 of co-authors of Sos С. Agaian
This figure shows the co-authorship network connecting the top 25 collaborators of Sos С. Agaian. A scholar is included among the top collaborators of Sos С. Agaian 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 Sos С. Agaian. Sos С. Agaian 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 18 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 35 | |
| 14 | 114 | |
| 15 | 27 | |
| 16 | 0 | |
| 17 | 42 | |
| 18 | Mobile Multimedia/Image Processing for Military and Security Applications | 3 |
| 19 | Binary polynomial transforms and nonlinear digital filters | 97 |
| 20 | On the relationship between compression coefficient, precision of reconstruction and complexity of calculations | 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) and Advanced Image Fusion Techniques (72 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.