Sara Hooker

About

Sara Hooker is a scholar working on Artificial Intelligence, Safety Research and Health Informatics. According to data from OpenAlex, Sara Hooker has authored 11 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Safety Research and 2 papers in Health Informatics. Recurrent topics in Sara Hooker’s work include Natural Language Processing Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Sara Hooker is often cited by papers focused on Natural Language Processing Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Sara Hooker collaborates with scholars based in United States, Denmark and Canada. Sara Hooker's co-authors include Chirag Agarwal, Patrick A. Lewis, Xinyi Wu, Pin‐Yu Chen, Yacine Jernite, Daniel Hershcovich, Shayne Longpre, Kelechi Ogueji, Emma Strubell and Diyi Yang and has published in prestigious journals such as Nature, Communications of the ACM and Nature Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Sara Hooker i

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Fields of papers citing papers by Sara Hooker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sara Hooker

Since Specialization

Citations

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