Shai Mazor

8 papers and 214 indexed citations i.

About

Shai Mazor is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Shai Mazor has authored 8 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Environmental Engineering. Recurrent topics in Shai Mazor’s work include Multimodal Machine Learning Applications (5 papers), Handwritten Text Recognition Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Shai Mazor is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Handwritten Text Recognition Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Shai Mazor collaborates with scholars based in United States and Israel. Shai Mazor's co-authors include Ron Litman, Roee Litman, Oron Anschel, R. Manmatha, Shahar Tsiper, Aviad Aberdam, Hadar Averbuch‐Elor, Pietro Perona, Ron Slossberg and Christoph Dann and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

Fields of papers citing papers by Shai Mazor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shai Mazor

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025