Shant Navasardyan
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Artificial Intelligence
- Control and Systems Engineering
- Signal Processing
- Co-authors
- Humphrey ShiZhangyang WangRoberto HenschelXingqian XuKai WangYunchao WeiYadong MuYifan Jiang
- Topics
- Generative Adversarial Networks and Image Synthesis (8 papers)Advanced Vision and Imaging (5 papers)Advanced Image Processing Techniques (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Journals
- IEEE Transactions on Image ProcessingInternational Journal of Computer VisionIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- United StatesArmeniaChina
In The Last Decade
Shant Navasardyan
17 papers receiving 224 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 201
- Computer Graphics and Computer-Aided Design 40
- Artificial Intelligence 28
- Control and Systems Engineering 27
- Signal Processing 24
Countries citing papers authored by Shant Navasardyan
This map shows the geographic impact of Shant Navasardyan'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 Shant Navasardyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shant Navasardyan more than expected).
Fields of papers citing papers by Shant Navasardyan
This network shows the impact of papers produced by Shant Navasardyan. 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 Shant Navasardyan. The network helps show where Shant Navasardyan may publish in the future.
Co-authorship network of co-authors of Shant Navasardyan
This figure shows the co-authorship network connecting the top 25 collaborators of Shant Navasardyan. A scholar is included among the top collaborators of Shant Navasardyan 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 Shant Navasardyan. Shant Navasardyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 20 | |
| 12 | 7 | |
| 13 | Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generatorsbreakdown → | 143 |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 8 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 0 |
About Shant Navasardyan
Shant Navasardyan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Algebra and Number Theory, having authored 20 papers that have together received 232 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Vision and Imaging (5 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (40 citations), Computer Vision and Pattern Recognition (201 citations) and Signal Processing (24 citations). Shant Navasardyan has collaborated with scholars based in United States, Armenia and China. Frequent co-authors include Humphrey Shi, Zhangyang Wang, Roberto Henschel, Xingqian Xu, Kai Wang, Yunchao Wei, Yadong Mu, Yifan Jiang, Jan Borggrefe and Jiachen Li. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and IEEE Transactions on Circuits and Systems for Video Technology.
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.