Yoni Choukroun

About

Yoni Choukroun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Yoni Choukroun has authored 7 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Computational Mechanics. Recurrent topics in Yoni Choukroun’s work include 3D Shape Modeling and Analysis (3 papers), Advanced Numerical Analysis Techniques (2 papers) and Computer Graphics and Visualization Techniques (1 paper). Yoni Choukroun is often cited by papers focused on 3D Shape Modeling and Analysis (3 papers), Advanced Numerical Analysis Techniques (2 papers) and Computer Graphics and Visualization Techniques (1 paper). Yoni Choukroun collaborates with scholars based in Israel and United Kingdom. Yoni Choukroun's co-authors include Pavel Kisilev, Fan Yang, Amir Bennatan, Ron Kimmel, Alex Bronstein, Lior Wolf and Matan Sela and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Mathematical Imaging and Vision and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Yoni Choukroun i

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Fields of papers citing papers by Yoni Choukroun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yoni Choukroun

Since Specialization

Citations

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