Sina Honari

16 papers and 298 indexed citations i.

About

Sina Honari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Sina Honari has authored 16 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Sina Honari’s work include Face recognition and analysis (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Human Pose and Action Recognition (4 papers). Sina Honari is often cited by papers focused on Face recognition and analysis (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Human Pose and Action Recognition (4 papers). Sina Honari collaborates with scholars based in Canada, Switzerland and United States. Sina Honari's co-authors include Christopher Pal, Pascal Vincent, Pascal Fua, Jason Yosinski, Jan Kautz, Pavlo Molchanov, Stephen Tyree, Edoardo Remelli, Shangchen Han and Robert Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Sina Honari i

Fields of papers citing papers by Sina Honari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sina Honari

Since Specialization
Citations

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