Aram Danielyan

9 papers and 424 indexed citations i.

About

Aram Danielyan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Aram Danielyan has authored 9 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 3 papers in Computational Mechanics. Recurrent topics in Aram Danielyan’s work include Image and Signal Denoising Methods (7 papers), Advanced Image Fusion Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). Aram Danielyan is often cited by papers focused on Image and Signal Denoising Methods (7 papers), Advanced Image Fusion Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). Aram Danielyan collaborates with scholars based in Finland, United Kingdom and Japan. Aram Danielyan's co-authors include Karen Egiazarian, Vladimir Katkovnik, Alessandro Foi, Markku Vehviläinen, Pei‐Yu Shih, Alexey Semyanov, Yulia Dembitskaya, Yu‐Wei Wu, Jarmo Takala and James Price and has published in prestigious journals such as IEEE Transactions on Image Processing, Methods and Journal of Signal Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Aram Danielyan i

Fields of papers citing papers by Aram Danielyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aram Danielyan. 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 Aram Danielyan. The network helps show where Aram Danielyan may publish in the future.

Countries citing papers authored by Aram Danielyan

Since Specialization
Citations

This map shows the geographic impact of Aram Danielyan'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 Aram Danielyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aram Danielyan more than expected).

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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