Shabab Bazrafkan

23 papers and 671 indexed citations i.

About

Shabab Bazrafkan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Shabab Bazrafkan has authored 23 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Shabab Bazrafkan’s work include Face recognition and analysis (7 papers), Biometric Identification and Security (6 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Shabab Bazrafkan is often cited by papers focused on Face recognition and analysis (7 papers), Biometric Identification and Security (6 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Shabab Bazrafkan collaborates with scholars based in Ireland, Belgium and Austria. Shabab Bazrafkan's co-authors include Peter Corcoran, Joseph Lemley, Shejin Thavalengal, Stefan Habenschuss, Friedrich Fraundorfer, Anuradha Kar, Paweł Filipczuk, Jan Sijbers, Jan De Beenhouwer and Hossein Javidnia and has published in prestigious journals such as IEEE Access, Neural Networks and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Shabab Bazrafkan i

Fields of papers citing papers by Shabab Bazrafkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shabab Bazrafkan

Since Specialization
Citations

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