Shant Navasardyan

32 total papers · 527 total citations
20 papers, 223 citations indexed

About

Shant Navasardyan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Shant Navasardyan has authored 20 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Graphics and Computer-Aided Design and 2 papers in Artificial Intelligence. Recurrent topics in Shant Navasardyan's work include Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Vision and Imaging (5 papers) and Advanced Image Processing Techniques (5 papers). Shant Navasardyan is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Vision and Imaging (5 papers) and Advanced Image Processing Techniques (5 papers). Shant Navasardyan collaborates with scholars based in United States, Armenia and China. Shant Navasardyan's co-authors include Humphrey Shi, Zhangyang Wang, Roberto Henschel, Xingqian Xu, Kai Wang, Yunchao Wei, Yadong Mu, Jiachen Li, Dejia Xu and Gao Huang and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Shant Navasardyan

17 papers receiving 214 citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shant Navasardyan 189 40 27 24 23 20 223
Ziqi Huang 154 0.8× 11 0.3× 18 0.7× 38 1.6× 19 0.8× 11 200
Christian Lipski 180 1.0× 48 1.2× 8 0.3× 16 0.7× 26 1.1× 24 210
Ligong Han 202 1.1× 47 1.2× 13 0.5× 56 2.3× 13 0.6× 19 270
Yifan Zhou 100 0.5× 19 0.5× 14 0.5× 23 1.0× 16 0.7× 18 159
Zhilong Ji 174 0.9× 33 0.8× 8 0.3× 71 3.0× 16 0.7× 20 251
Haozhi Huang 230 1.2× 44 1.1× 12 0.4× 27 1.1× 22 1.0× 15 270
Ivan Skorokhodov 183 1.0× 58 1.4× 20 0.7× 39 1.6× 19 0.8× 20 230
Wenqing Zhang 144 0.8× 30 0.8× 11 0.4× 50 2.1× 7 0.3× 16 228
Wenhao Chai 130 0.7× 17 0.4× 15 0.6× 48 2.0× 6 0.3× 27 194
Wentao Jiang 172 0.9× 13 0.3× 12 0.4× 31 1.3× 10 0.4× 31 233

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

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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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