Amir Sadovnik

20 papers and 243 indexed citations i.

About

Amir Sadovnik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Amir Sadovnik has authored 20 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Amir Sadovnik’s work include Advanced Image and Video Retrieval Techniques (6 papers), Multimodal Machine Learning Applications (4 papers) and Image Retrieval and Classification Techniques (3 papers). Amir Sadovnik is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Multimodal Machine Learning Applications (4 papers) and Image Retrieval and Classification Techniques (3 papers). Amir Sadovnik collaborates with scholars based in United States, China and Taiwan. Amir Sadovnik's co-authors include Tsuhan Chen, Kuan–Chuan Peng, Andrew Gallagher, Andrew Gallagher, Devi Parikh, Xiao Xiao, Fan Yang, Thanh Vu, Yilong Hui and Wenming Yang and has published in prestigious journals such as Sensors, Nonlinear Dynamics and IEEE Signal Processing Letters.

In The Last Decade

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

Fields of papers citing papers by Amir Sadovnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amir Sadovnik

Since Specialization
Citations

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