Gabriel Stanovsky

35 papers and 494 indexed citations i.

About

Gabriel Stanovsky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Gabriel Stanovsky has authored 35 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Gabriel Stanovsky’s work include Topic Modeling (30 papers), Natural Language Processing Techniques (27 papers) and Multimodal Machine Learning Applications (8 papers). Gabriel Stanovsky is often cited by papers focused on Topic Modeling (30 papers), Natural Language Processing Techniques (27 papers) and Multimodal Machine Learning Applications (8 papers). Gabriel Stanovsky collaborates with scholars based in Israel, United States and Germany. Gabriel Stanovsky's co-authors include Luke Zettlemoyer, Noah A. Smith, Ido Dagan, Roy Schwartz, Jesse Dodge, Swabha Swayamdipta, Julian Michael, Iryna Gurevych, Luheng He and Michael Elhadad and has published in prestigious journals such as Communications of the ACM, 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 Gabriel Stanovsky i

Fields of papers citing papers by Gabriel Stanovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriel Stanovsky

Since Specialization
Citations

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