Gal Lavee

About

Gal Lavee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Gal Lavee has authored 6 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Biomedical Engineering. Recurrent topics in Gal Lavee’s work include Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Video Analysis and Summarization (2 papers). Gal Lavee is often cited by papers focused on Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Video Analysis and Summarization (2 papers). Gal Lavee collaborates with scholars based in Israel, United States and Ireland. Gal Lavee's co-authors include Ehud Rivlin, Michael Rudzsky, Bhavani Thuraisingham, Latifur Khan, Kira Radinsky, Tomer Golany, Edo Liberty, Oren Somekh and Ronny Lempel and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Multimedia Tools and Applications and IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews).

In The Last Decade

Co-authorship network of co-authors of Gal Lavee i

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Fields of papers citing papers by Gal Lavee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gal Lavee

Since Specialization

Citations

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