Shant Navasardyan

17 papers receiving 224 citations

Hit Papers

Text2Video-Zero: Text-to-Image Diffusion Models are Zero-...202320262024202520234080120

Peers

Shant Navasardyan
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
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Tim Dockhorn Germany
Ligong Han United States
Ivan Skorokhodov United States
Hila Chefer Israel
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Konpat Preechakul Thailand
Michal Geyer United Kingdom
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Countries citing papers authored by Shant Navasardyan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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