Sagie Benaim

18 papers and 535 indexed citations i.

About

Sagie Benaim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Sagie Benaim has authored 18 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Sagie Benaim’s work include Generative Adversarial Networks and Image Synthesis (9 papers), Advanced Image Processing Techniques (4 papers) and Digital Media Forensic Detection (3 papers). Sagie Benaim is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (9 papers), Advanced Image Processing Techniques (4 papers) and Digital Media Forensic Detection (3 papers). Sagie Benaim collaborates with scholars based in Israel, United States and Denmark. Sagie Benaim's co-authors include Lior Wolf, Peter K. Friz, Oscar Michel, Rana Hanocka, Richard Liu, Michael Rubinstein, Tali Dekel, Oran Lang, Inbar Mosseri and Michal Irani and has published in prestigious journals such as International Journal of Computer Vision, Journal of Machine Learning Research and Computer Graphics Forum.

In The Last Decade

Co-authorship network of co-authors of Sagie Benaim i

Fields of papers citing papers by Sagie Benaim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sagie Benaim

Since Specialization
Citations

This map shows the geographic impact of Sagie Benaim'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 Sagie Benaim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sagie Benaim 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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2025