Michal Irani

43 papers and 5.9k indexed citations i.

About

Michal Irani is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Michal Irani has authored 43 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 13 papers in Media Technology and 5 papers in Aerospace Engineering. Recurrent topics in Michal Irani’s work include Advanced Vision and Imaging (18 papers), Advanced Image Processing Techniques (15 papers) and Image Processing Techniques and Applications (9 papers). Michal Irani is often cited by papers focused on Advanced Vision and Imaging (18 papers), Advanced Image Processing Techniques (15 papers) and Image Processing Techniques and Applications (9 papers). Michal Irani collaborates with scholars based in Israel and United States. Michal Irani's co-authors include Eli Shechtman, Shai Bagon, Daniel Gläsner, Bezalel Peleg, Assaf Shocher, Nadav Cohen, Yaron Caspi, Yonatan Wexler, Denis Simakov and Inbar Mosseri and has published in prestigious journals such as Nature Communications, NeuroImage and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Michal Irani i

Fields of papers citing papers by Michal Irani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michal Irani

Since Specialization
Citations

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