Nadav Zamir

About

Nadav Zamir is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nadav Zamir has authored 4 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nadav Zamir’s work include Advanced Image and Video Retrieval Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (2 papers). Nadav Zamir is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (2 papers). Nadav Zamir collaborates with scholars based in Cayman Islands. Nadav Zamir's co-authors include Itamar Friedman, Lihi Zelnik‐Manor, Tal Ridnik, Asaf Noy, Emanuel Ben-Baruch, Matan Protter and Avi Ben-Cohen and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 26th International Conference on Pattern Recognition (ICPR).

In The Last Decade

Co-authorship network of co-authors of Nadav Zamir i

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Fields of papers citing papers by Nadav Zamir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nadav Zamir

Since Specialization

Citations

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