Amir Zamir

25 papers and 3.2k indexed citations i.

About

Amir Zamir is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Amir Zamir has authored 25 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 8 papers in Aerospace Engineering. Recurrent topics in Amir Zamir’s work include Domain Adaptation and Few-Shot Learning (9 papers), Robotics and Sensor-Based Localization (8 papers) and Multimodal Machine Learning Applications (7 papers). Amir Zamir is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Robotics and Sensor-Based Localization (8 papers) and Multimodal Machine Learning Applications (7 papers). Amir Zamir collaborates with scholars based in United States, Switzerland and China. Amir Zamir's co-authors include Silvio Savarese, Ashutosh Saxena, Jitendra Malik, Martin Fischer, Iro Armeni, Ashesh Jain, Ozan Şener, Helen Jiang, Ioannis Brilakis and Leonidas Guibas and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Computer Vision and Image Understanding.

In The Last Decade

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

Fields of papers citing papers by Amir Zamir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amir Zamir

Since Specialization
Citations

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