Tomer Michaeli

57 papers and 1.4k indexed citations i.

About

Tomer Michaeli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Tomer Michaeli has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 11 papers in Computational Mechanics. Recurrent topics in Tomer Michaeli’s work include Image and Signal Denoising Methods (12 papers), Sparse and Compressive Sensing Techniques (10 papers) and Generative Adversarial Networks and Image Synthesis (10 papers). Tomer Michaeli is often cited by papers focused on Image and Signal Denoising Methods (12 papers), Sparse and Compressive Sensing Techniques (10 papers) and Generative Adversarial Networks and Image Synthesis (10 papers). Tomer Michaeli collaborates with scholars based in Israel, United States and Japan. Tomer Michaeli's co-authors include Tamar Rott Shaham, Tali Dekel, Yoav Shechtman, Lucien E. Weiss, Yonina C. Eldar, Elias Nehme, Daniel Z. Freedman, Boris Ferdman, Onit Alalouf and Leonid Karlinsky and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Methods and IEEE Transactions on Automatic Control.

In The Last Decade

Co-authorship network of co-authors of Tomer Michaeli i

Fields of papers citing papers by Tomer Michaeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomer Michaeli

Since Specialization
Citations

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