Elad Venezian

7 papers and 47 indexed citations i.

About

Elad Venezian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Elad Venezian has authored 7 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Elad Venezian’s work include Topic Modeling (5 papers), Multimodal Machine Learning Applications (3 papers) and Natural Language Processing Techniques (3 papers). Elad Venezian is often cited by papers focused on Topic Modeling (5 papers), Multimodal Machine Learning Applications (3 papers) and Natural Language Processing Techniques (3 papers). Elad Venezian collaborates with scholars based in United States, Israel and France. Elad Venezian's co-authors include Noam Slonim, Dan Lahav, Michal Jacovi, Assaf Toledo, Edo Cohen-Karlik, Ranit Aharonov, Shai Gretz, Yoav Katz, Colin Raffel and Leshem Choshen and has published in prestigious journals such as Language Resources and Evaluation, Entropy and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Elad Venezian i

Fields of papers citing papers by Elad Venezian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elad Venezian

Since Specialization
Citations

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