Payman Moallem

89 papers and 1.2k indexed citations i.

About

Payman Moallem is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, Payman Moallem has authored 89 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 18 papers in Electrical and Electronic Engineering and 18 papers in Media Technology. Recurrent topics in Payman Moallem’s work include Advanced Vision and Imaging (13 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Image and Signal Denoising Methods (9 papers). Payman Moallem is often cited by papers focused on Advanced Vision and Imaging (13 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Image and Signal Denoising Methods (9 papers). Payman Moallem collaborates with scholars based in Iran, India and Italy. Payman Moallem's co-authors include Arash Kiyoumarsi, Saed Moradi, Mohamad Farzan Sabahi, Mohammad Hossein Vafaie, Behzad Mirzaeian Dehkordi, Navid Razmjooy, Mehdi Momeni, Hossein Pourghassem, S. Amirhassan Monadjemi and B. Somayeh Mousavi and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Payman Moallem i

Fields of papers citing papers by Payman Moallem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Payman Moallem

Since Specialization
Citations

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