Itay Hubara

About

Itay Hubara is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Itay Hubara has authored 8 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Itay Hubara’s work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Machine Learning and Data Classification (2 papers). Itay Hubara is often cited by papers focused on Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Machine Learning and Data Classification (2 papers). Itay Hubara collaborates with scholars based in Israel, United States and Canada. Itay Hubara's co-authors include Daniel Soudry, Yoshua Bengio, Matthieu Courbariaux, Ran El‐Yaniv, Elad Hoffer, Tal Ben‐Nun, Torsten Hoefler, Niv Giladi, Ron Banner and Devin S. Zarkowsky and has published in prestigious journals such as Semiconductor Science and Technology, Vascular and Endovascular Surgery and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Itay Hubara i

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Fields of papers citing papers by Itay Hubara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Itay Hubara

Since Specialization

Citations

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