Shai Bagon

15 papers and 1.4k indexed citations i.

About

Shai Bagon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shai Bagon has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shai Bagon’s work include Advanced Image Processing Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Advanced Vision and Imaging (3 papers). Shai Bagon is often cited by papers focused on Advanced Image Processing Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Advanced Vision and Imaging (3 papers). Shai Bagon collaborates with scholars based in Israel, Italy and United States. Shai Bagon's co-authors include Michal Irani, Daniel Gläsner, Tali Dekel, Narek Tumanyan, Assaf Shocher, Phillip Isola, Omer Bar-Tal, Carsten Rother, Pushmeet Kohli and Toby Sharp and has published in prestigious journals such as Nature Communications, The Journal of the Acoustical Society of America and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Shai Bagon i

Fields of papers citing papers by Shai Bagon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shai Bagon

Since Specialization
Citations

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