Hannah Rashkin

21 papers and 2.1k indexed citations i.

About

Hannah Rashkin is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hannah Rashkin has authored 21 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hannah Rashkin’s work include Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (4 papers). Hannah Rashkin is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (4 papers). Hannah Rashkin collaborates with scholars based in United States, Israel and Canada. Hannah Rashkin's co-authors include Yejin Choi, Maarten Sap, Ronan Le Bras, Aslı Çelikyılmaz, Margaret Li, Y-Lan Boureau, Eric M. Smith, Antoine Bosselut, Eunsol Choi and Svitlana Volkova and has published in prestigious journals such as Computational Linguistics, 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 Hannah Rashkin i

Fields of papers citing papers by Hannah Rashkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hannah Rashkin

Since Specialization
Citations

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