Yoav Artzi

34 papers and 2.0k indexed citations i.

About

Yoav Artzi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yoav Artzi has authored 34 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Yoav Artzi’s work include Topic Modeling (23 papers), Natural Language Processing Techniques (19 papers) and Multimodal Machine Learning Applications (13 papers). Yoav Artzi is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (19 papers) and Multimodal Machine Learning Applications (13 papers). Yoav Artzi collaborates with scholars based in United States and Israel. Yoav Artzi's co-authors include Luke Zettlemoyer, Felix Wu, Kilian Q. Weinberger, Mor Naaman, Alane Suhr, Tianyi Zhang, Dipendra Misra, Iris Zhang, Nate Kushman and Regina Barzilay and has published in prestigious journals such as AI Magazine, Transactions of the Association for Computational Linguistics and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Yoav Artzi i

Fields of papers citing papers by Yoav Artzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yoav Artzi

Since Specialization
Citations

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