Hila Gonen

21 papers and 383 indexed citations i.

About

Hila Gonen is a scholar working on Artificial Intelligence, Gender Studies and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hila Gonen has authored 21 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Gender Studies and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Hila Gonen’s work include Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Text Readability and Simplification (4 papers). Hila Gonen is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Text Readability and Simplification (4 papers). Hila Gonen collaborates with scholars based in United States, Israel and France. Hila Gonen's co-authors include Yoav Goldberg, Shauli Ravfogel, Yanai Elazar, Simone Teufel, Luke Zettlemoyer, Rowan Hall Maudslay, Ryan Cotterell, Terra Blevins, Noah A. Smith and Kellie Webster and has published in prestigious journals such as International Journal of Paediatric Dentistry, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Hila Gonen i

Fields of papers citing papers by Hila Gonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hila Gonen

Since Specialization
Citations

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